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CoRR, December 2018
- Kazuto Fukuchi, Jun Sakuma:
Minimax Optimal Additive Functional Estimation with Discrete Distribution. - Mingyuan Ma, Sen Na, Cong Xu, Xin Fan:
The Graph-based Broad Behavior-Aware Recommendation System for Interactive News. - Yu-Ki Lee, Zhonghua Xi, Young-Joo Lee, Yunhyeong Kim, Yue Hao, Young-Chang Joo, Changsoon Kim, Jyh-Ming Lien, In-Suk Choi:
Computational paper wrapping transforms non-stretchable 2D devices into wearable and conformable 3D devices. - Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas:
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. - Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid:
Modulated Policy Hierarchies. - Aaron J. Masino, Kaitlin A. Folweiler:
Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes. - David Castells-Rufas, Adrià Galin-Pons, Jordi Carrabina:
The Regulation of Unlicensed Sub-GHz bands: Are Stronger Restrictions Required for LPWAN-based IoT Success? - Tong Yu, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition. - Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. - Mauro Lucci, Graciela L. Nasini, Daniel Severín:
A Branch and Price Algorithm for List Coloring Problem. - Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. - Aous Karoui, Iza Marfisi-Schottman
, Sébastien George
Mobile Learning Game Authoring Tools: Assessment, Synthesis and Proposals. - Rajesh P. N. Rao:
The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor. - Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier, Michael Rapp
Learning Interpretable Rules for Multi-label Classification. - Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Daniel Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier:
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. - Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner:
Corresponding Projections for Orphan Screening. - David Bergman, Carlos Cardonha, Saharnaz Mehrani:
Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation. - Zhan Tu, Fan Fei, Matthew Eagon, Xiangyu Zhang, Dongyan Xu, Xinyan Deng:
Redundancy-Free UAV Sensor Fault Isolation And Recovery. - Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny:
GDPP: Learning Diverse Generations Using Determinantal Point Process. - Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. - Yinghui Ye, Liqin Shi, Rose Qingyang Hu, Guangyue Lu:
Energy-efficient Resource Allocation for Wirelessly Powered Backscatter Communications. - Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl:
Scalable Graph Learning for Anti-Money Laundering: A First Look. - Rohan Padhye, Caroline Lemieux, Koushik Sen, Mike Papadakis, Yves Le Traon:
Zest: Validity Fuzzing and Parametric Generators for Effective Random Testing. - Liqin Shi, Yinghui Ye, Xiaoli Chu
Optimal Combining and Performance Analysis for Two-Way EH Relay Systems with TDBC Protocol. - Ionut-Gabriel Farcas, Tobias Görler, Hans-Joachim Bungartz, Frank Jenko, Tobias Neckel:
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis. - Liqin Shi, Wenchi Cheng, Yinghui Ye, Hailin Zhang, Rose Qingyang Hu:
Heterogeneous Power-Splitting Based Two-Way DF Relaying with Non-Linear Energy Harvesting. - Li Zhang, Heda Song, Haiping Lu:
Graph Node-Feature Convolution for Representation Learning. - Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis:
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment. - In-Ho Yi:
Parametric Denotational Semantics for Extensible Language Definition and Program Analysis. - Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer:
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. - Yixiu Zhao, Ziyin Liu:
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning. - Vidya Muthukumar, Tejaswini Pedapati, Nalini K. Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney:
Understanding Unequal Gender Classification Accuracy from Face Images. - Mohamed Elfeki, Krishna Regmi, Shervin Ardeshir, Ali Borji:
From Third Person to First Person: Dataset and Baselines for Synthesis and Retrieval. - Mohamed Elfeki, Aidean Sharghi, Srikrishna Karanam, Ziyan Wu, Ali Borji:
Multi-View Egocentric Video Summarization. - Behnaz Arzani, Nicholas Iodice, Steven Hwang, Prahalad Venkataramanan, Roch Geurin, Boon Thau Loo:
Sunstar: A Cost-effective Multi-Server Solution for Reliable Video Delivery. - Swapneel Mehta, Chirag Raman, Nitin Ayer, Sameer Sahasrabudhe:
Auto-Grading for 3D Modeling Assignments in MOOCs. - Swapneel Mehta, Prasanth Kothuri, Daniel Lanza Garcia:
A Big Data Architecture for Log Data Storage and Analysis. - Honglei Liu, Anuj Kumar, Wenhai Yang, Benoît Dumoulin:
Explore-Exploit: A Framework for Interactive and Online Learning. - Masahito Hayashi:
Secure physical layer network coding versus secure network coding. - Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille:
Snapshot Distillation: Teacher-Student Optimization in One Generation. - Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia:
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. - Fabrice Benhamouda, Marc Joye:
How to Profile Privacy-Conscious Users in Recommender Systems. - Zheng Wang, Yang Huang, Shanxiang Lyu:
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization. - Ravi Kumar, Manish Purohit, Aaron Schild, Zoya Svitkina, Erik Vee:
Semi-Online Bipartite Matching. - Yujian Li:
Theory of Cognitive Relativity: A Promising Paradigm for True AI. - Meng Li, Yan Zhang, Haicheng She, Jinqiong Zhou, Jia Jia, Danmei He, Li Zhang:
Automated segmentaiton and classification of arterioles and venules using Cascading Dilated Convolutional Neural Networks. - Ashish Khetan, Harshay Shah, Sewoong Oh:
Number of Connected Components in a Graph: Estimation via Counting Patterns. - Valentin J. M. Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo:
Fuzzing: Art, Science, and Engineering. - Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu:
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. - Sooyeon Lee, Madison Reddie, Krish Gurdasani, Xiying Wang, Jordan Beck, Mary Beth Rosson, John M. Carroll:
Conversations for Vision: Remote Sighted Assistants Helping People with Visual Impairments. - Md. Shamim Hussain
SwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation. - Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Attacks and Submodular Optimization with Applications to Text Classification. - Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu:
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images. - Hiba Ahsan, Rahul Agrawal:
Approximating Categorical Similarity in Sponsored Search Relevance. - Yizhi Zhao:
Irregular Channel Polarization and Its Applications to Static Adversarial Wiretap Channel. - Gyeongbok Lee, Sungdong Kim, Seung-won Hwang:
QADiver: Interactive Framework for Diagnosing QA Models. - David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei:
Vision-Based Gait Analysis for Senior Care. - Jonathan Warrell, Hussein Mohsen, Mark Gerstein:
Rank Projection Trees for Multilevel Neural Network Interpretation. - Qi Sun, Yunzhe Tao, Qiang Du:
Stochastic Training of Residual Networks: a Differential Equation Viewpoint. - Zhouxing Shi, Minlie Huang
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. - L. P. M. I. Sampath, Ashok Krishnan, Yi Shyh Eddy Foo
Robust Optimal Energy and Reserve Management of Multiple-Microgrids via Cooperative Bidding. - Sean Saito, Sujoy Roy:
Effects of Loss Functions And Target Representations on Adversarial Robustness. - Fabian Schuiki, Michael Schaffner, Luca Benini:
NTX: An Energy-efficient Streaming Accelerator for Floating-point Generalized Reduction Workloads in 22nm FD-SOI. - S. Sheerazuddin, S. Anand, R. S. Anish Badhri:
A Scheme to Verify Services with Unboundedly many Clients using NuSMV. - Julia A. Meister, Raja Naeem Akram, Konstantinos Markantonakis:
Deep Learning Application in Security and Privacy - Theory and Practice: A Position Paper. - Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation among Multiple Operators. - Mei Wang, Weihong Deng, Jiani Hu, Jianteng Peng, Xunqiang Tao, Yaohai Huang:
Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation. - Trung Minh Nguyen, Thien Huu Nguyen:
One for All: Neural Joint Modeling of Entities and Events. - Ghada Dessouky, David Gens, Patrick Haney, Garrett Persyn, Arun K. Kanuparthi, Hareesh Khattri, Jason M. Fung, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran:
When a Patch is Not Enough - HardFails: Software-Exploitable Hardware Bugs. - Johannes Schiffer, Petros Aristidou, Romeo Ortega:
Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing. - Ziad Al-Halah, Andreas M. Lehrmann, Leonid Sigal:
Towards Traversing the Continuous Spectrum of Image Retrieval. - Ameet Deshpande, Harshavardhan P. K, Balaraman Ravindran:
Discovering hierarchies using Imitation Learning from hierarchy aware policies. - Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani:
Internal Distribution Matching for Natural Image Retargeting. - Junghyun Byun, Seungho Chae, Tack-Don Han:
Accurate control of a pan-tilt system based on parameterization of rotational motion. - Junghyun Byun, Seungho Chae, Yoonsik Yang, Tack-Don Han:
AIR: Anywhere Immersive Reality with User-Perspective Projection. - Kevin Shen, Amlan Kar, Sanja Fidler:
Lifelong Learning for Image Captioning by Asking Natural Language Questions. - Junghyun Byun, Tack-Don Han:
Fast and Accurate Reconstruction of Pan-Tilt RGB-D Scans via Axis Bound Registration. - Vladimir Braverman, Robert Krauthgamer, Lin F. Yang:
Universal Streaming of Subset Norms. - Karttikeya Mangalam, Mathieu Salzamann:
On Compressing U-net Using Knowledge Distillation. - Georgia Chalvatzaki, Petros Koutras, Jack Hadfield, Xanthi S. Papageorgiou, Costas S. Tzafestas, Petros Maragos:
On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollator. - Jack Hadfield, Georgia Chalvatzaki, Petros Koutras, Mehdi Khamassi, Costas S. Tzafestas, Petros Maragos:
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task. - Diana Haidar, Mohamed Medhat Gaber, Yevgeniya Kovalchuk:
AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection. - Irene Córdoba
Towards Gaussian Bayesian Network Fusion. - Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu, Suman Banerjee:
Characterizing Privacy Perceptions of Voice Assistants: A Technology Probe Study. - Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. - Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. - Hugo Prol, Vincent Dumoulin, Luis Herranz
Cross-Modulation Networks for Few-Shot Learning. - Tony Mason, Ada Gavrilovska, David A. Joyner:
Collaboration Versus Cheating. - Daniel Neil, Joss Briody, Alix Lacoste
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs. - Zhixuan Yu, Jae Shin Yoon, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park:
HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset. - Jie Xu, Wei Ding, Xiaoyan Hu:
VATE: a trade-off between memory and preserving time for high accuracy cardinalities estimation under sliding time window. - Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang:
Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks. - Sanmit Narvekar, Peter Stone:
Learning Curriculum Policies for Reinforcement Learning. - Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Nassir Navab, Federico Tombari:
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data. - Shubham Sahay, Dmitri B. Strukov:
A Behavioral Compact Model of 3D NAND Flash Memory. - Sagi Eppel:
Classifying a specific image region using convolutional nets with an ROI mask as input. - Edward Chou, Florian Tramèr, Giancarlo Pellegrino, Dan Boneh:
SentiNet: Detecting Physical Attacks Against Deep Learning Systems. - Matthew O'Kelly, Aman Sinha, Justin Norden, Hongseok Namkoong:
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation. - Maria Alejandra Rodriguez
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments. - Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li:
Plan-Recognition-Driven Attention Modeling for Visual Recognition. - Rajinder Sandhu, Adel Nadjaran Toosi, Rajkumar Buyya:
An API for Development of User Defined Scheduling Algorithms in Aneka PaaS Cloud Software. - Bruce McIntosh, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries. - Lijuan Jiang, Yongzhao Li, Yinghui Ye, Yunfei Chen, Ming Jin, Hailin Zhang:
Unilateral Left-Tail Anderson Darling Test Based Spectrum Sensing with Laplacian Noise. - Jiaping Ren, Wei Xiang, Yangxi Xiao, Ruigang Yang, Dinesh Manocha, Xiaogang Jin:
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization. - Jayant Sharma, Zixing Wang, Alberto Speranzon, Vijay Venkataraman, Hyun Soo Park:
ECO: Egocentric Cognitive Mapping. - Xinyi Zhou
Fake News: A Survey of Research, Detection Methods, and Opportunities. - Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Haoshu Fang, Cewu Lu:
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark. - Nhat M. Nguyen, Nilanjan Ray:
End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation. - Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille:
Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. - Han Cai, Ligeng Zhu, Song Han:
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. - Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao:
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. - Simiao Zuo, Jialin Wu:
Image Score: How to Select Useful Samples. - Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu:
GAN-EM: GAN based EM learning framework. - Sijia Xu, Hongyu Kuang, Zhi Zhuang, Renjie Hu, Yang Liu, Huyang Sun:
Macro action selection with deep reinforcement learning in StarCraft. - Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means Based on Variational Transportation. - Feng Shu, Ling Xu, Jinyong Lin, Jinsong Hu, Linqing Gui, Jun Li, Jiangzhou Wang:
Machine-Learning-based High-resolution DOA Measurement and Robust DM for Hybrid Analog-Digital Massive MIMO Transceiver. - Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo:
Analysis on Gradient Propagation in Batch Normalized Residual Networks. - Shaojie Wang, Wentian Zhao, Ziyi Kou, Chenliang Xu:
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos. - (Withdrawn) A Logic for Recursive Quantum Programs.
- Heriberto Cuayáhuitl, Seonghan Ryu, Donghyeon Lee, Jihie Kim:
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. - Jiawei Zhang, Yuzhen Jin, Jilan Xu, Xiaowei Xu, Yanchun Zhang:
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation. - Yuefu Zhou, Ya Zhang, Yanfeng Wang, Qi Tian:
Network Compression via Recursive Bayesian Pruning. - Or Birenzwige, Shay Golan
Locally Consistent Parsing for Text Indexing in Small Space. - Jun Geng, Lifeng Lai:
Quick Best Action Identification in Linear Bandit Problems. - Hao-Ting Wei, Sung-Hsien Hsieh, Wen-Liang Hwang, Chung-Shou Liao, Chun-Shien Lu:
Link Delay Estimation Using Sparse Recovery for Dynamic Network Tomography. - Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Y. Ng, Nigam H. Shah:
Predicting Inpatient Discharge Prioritization With Electronic Health Records. - Rasika Bhalerao, Maxwell Aliapoulios, Ilia Shumailov, Sadia Afroz, Damon McCoy:
Towards Automatic Discovery of Cybercrime Supply Chains. - Jasper Linmans, Bob van de Velde, Evangelos Kanoulas:
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions. - Nupur Baghel, Yaman Kumar, Paavini Nanda, Rajiv Ratn Shah, Debanjan Mahata, Roger Zimmermann:
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media. - Pawel Góra, Maciej Brzeski, Marcin Mozejko, Arkadiusz Klemenko, Adrian Kochanski:
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks. - Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao
CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing. - Thomas Durieux, Benoit Cornu, Lionel Seinturier, Martin Monperrus:
Dynamic Patch Generation for Null Pointer Exceptions using Metaprogramming. - Taimoor Tariq, Munchurl Kim:
A Psychovisual Analysis on Deep CNN Features for Perceptual Metrics and A Novel Psychovisual Loss. - Shiyu Liu, Mehul Motani:
Feature Selection Based on Unique Relevant Information for Health Data. - Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin:
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. - Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny:
Efficient Lifelong Learning with A-GEM. - Domenico Cantone, Simone Faro, Arianna Pavone:
Sequence Searching Allowing for Non-Overlapping Adjacent Unbalanced Translocations. - Qingyu Chen, Yifan Peng, Tiarnan D. Keenan, Shazia Dharssi, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
A multi-task deep learning model for the classification of Age-related Macular Degeneration. - Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri:
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices. - Philipp Mayr, Muthu Kumar Chandrasekaran, Kokil Jaidka:
Report on the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018). - Adrian Benton:
Learning Representations of Social Media Users. - Cedric Scheerlinck, Nick Barnes, Robert E. Mahony:
Computing Spatial Image Convolutions for Event Cameras. - Garrick Brazil, Xiaoming Liu:
Pedestrian Detection with Autoregressive Network Phases. - Nicolai Wojke, Alex Bewley:
Deep Cosine Metric Learning for Person Re-Identification. - Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell:
Disentangling Propagation and Generation for Video Prediction. - Zhao Song, Ronald E. Parr, Lawrence Carin:
Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits. - Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy:
Personalizing Intervention Probabilities By Pooling. - Aditya Sripada, Harish Asokan, Abhishek Warrier, Arpit Kapoor, Harshit Gaur, Sridhar R:
Teleoperation of a Humanoid Robot with Motion Imitation and Legged Locomotion. - Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. - Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang:
Anchor Box Optimization for Object Detection. - Florian Lemmerich, Diego Sáez-Trumper, Robert West, Leila Zia:
Why the World Reads Wikipedia: Beyond English Speakers. - Divya Shanmugam, Davis W. Blalock, Jen J. Gong, John V. Guttag:
Multiple Instance Learning for ECG Risk Stratification. - Abdulkadir Celik, Ming-Cheng Tsai, Redha M. Radaydeh, Fawaz S. Al-Qahtani, Mohamed-Slim Alouini
Distributed Cluster Formation and Power-Bandwidth Allocation for Imperfect NOMA in DL-HetNets. - Liang Yang, Hao Jiang, Jizhong Xiao, Zhouyuan Huo:
Ego-Downward and Ambient Video based Person Location Association. - Eman T. Hassan, Xin Chen, David J. Crandall:
Unsupervised Domain Adaptation using Generative Models and Self-ensembling. - Siyuan Qiao, Zhe L. Lin, Jianming Zhang, Alan L. Yuille:
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. - Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang:
Model-Reuse Attacks on Deep Learning Systems. - Lev Yohananov, Yuval Efron, Eitan Yaakobi:
Double and Triple Node-Erasure-Correcting Codes over Graphs. - Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang, Xingdi Zhang, Shuaicheng Liu, Bing Zeng, Marc Pollefeys:
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image. - Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas
Improving Clinical Predictions through Unsupervised Time Series Representation Learning. - Rawal Khirodkar, Donghyun Yoo, Kris M. Kitani:
VADRA: Visual Adversarial Domain Randomization and Augmentation. - Eduardo Carvalho Pinto, Carola Doerr:
Towards a More Practice-Aware Runtime Analysis of Evolutionary Algorithms. - J. Weston Hughes, Taylor Sittler
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification. - Ivan Dokmanic:
Permutations Unlabeled beyond Sampling Unknown. - Duy-Kien Nguyen, Takayuki Okatani:
Multi-task Learning of Hierarchical Vision-Language Representation. - (Withdrawn) Prediction of New Onset Diabetes after Liver Transplant.
- Min Li, Chunshan Liu, Stephen V. Hanly, Iain B. Collings, Philip Whiting:
Explore and Learn: Optimized Two-Stage Search for Millimeter-Wave Beam Alignment. - Parvathy Sudhir Pillai, Tze-Yun Leong:
Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data. - Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille:
Elastic Boundary Projection for 3D Medical Imaging Segmentation. - Niki Kilbertus, Giambattista Parascandolo, Bernhard Schölkopf:
Generalization in anti-causal learning. - Jie Zhao, Quanzheng Li, Hongfeng Li, Li Zhang:
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model. - Aman Verma, Guido Powell, Yu Luo
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models. - Satya Narayan Shukla, Benjamin M. Marlin:
Modeling Irregularly Sampled Clinical Time Series. - Zhibo Wang, Mengkai Song, Zhifei Zhang, Yang Song, Qian Wang, Hairong Qi:
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning. - Zhiyuan Jiang, Sheng Chen, Andreas F. Molisch, Rath Vannithamby, Sheng Zhou, Zhisheng Niu:
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach. - Junfeng Wen, Yanshuai Cao, Ruitong Huang:
Few-Shot Self Reminder to Overcome Catastrophic Forgetting. - Vipul Satone
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data. - Wenyuan Li, Yunlong Wang, Yong Cai, Corey W. Arnold, Emily Zhao, Yilian Yuan:
Semi-supervised Rare Disease Detection Using Generative Adversarial Network. - Joseph Bullock
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets. - Jinyuan Chen, Fan Li:
Adding a Helper Can Totally Remove the Secrecy Constraints in Interference Channel. - Junghyuk Lee, Jong-Seok Lee:
Music Popularity: Metrics, Characteristics, and Audio-Based Prediction. - Jie Li
Universal Perturbation Attack Against Image Retrieval. - Weiyu Huang, Yunlong Wang, Li Zhou, Emily Zhao, Yilian Yuan, Alejandro Ribeiro:
Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series. - Fang Liu:
SUSAN: Segment Unannotated image Structure using Adversarial Network. - Muhammed Tawfiqul Islam, Rajkumar Buyya:
Resource Management and Scheduling for Big Data Applications in Cloud Computing Environments. - Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar:
Split learning for health: Distributed deep learning without sharing raw patient data. - Frederik Ebert, Chelsea Finn, Sudeep Dasari, Annie Xie, Alex X. Lee, Sergey Levine:
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control. - Sabah Al-Fedaghi, Nourah Al-Huwais:
Conceptual Modeling of Inventory Management Processes as a Thinging Machine. - Hyunkwang Lee, Myeongchan Kim, Synho Do:
Practical Window Setting Optimization for Medical Image Deep Learning. - Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian:
Towards Visual Feature Translation. - Yunpeng Li, Costas Courcoubetis, Lingjie Duan:
Recommending Paths: Follow or Not Follow? - Xiaobo Zhou, Shihao Yan, Jinsong Hu, Jiande Sun, Jun Li, Feng Shu:
Joint Optimization of a UAV's Trajectory and Transmit Power for Covert Communications. - Chii Chang, Satish Narayana Srirama, Rajkumar Buyya:
Internet of Things (IoT) and New Computing Paradigms. - Adel Nadjaran Toosi, Md. Redowan Mahmud, Qinghua Chi, Rajkumar Buyya:
Management and Orchestration of Network Slices in 5G, Fog, Edge and Clouds. - Ramesh B. Manyam, Yanqing Zhang, William B. Keeling, Jose Binongo, Michael Kayatta, Seth Carter:
Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery. - Qi Wang, Dehua Zhou, Yanling Li:
Secure outsourced calculations with homomorphic encryption. - Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar:
Resource Constrained Deep Reinforcement Learning. - Panagiotis Stalidis
Examining Deep Learning Architectures for Crime Classification and Prediction. - Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C. L. Wang:
General Support-Effective Decomposition for Multi-Directional 3D Printing. - Yaocong Hu, MingQi Lu, Xiaobo Lu:
Spatial-temporal Fusion Convolutional Neural Network for Simulated Driving Behavior Recognition. - Mei-Mei Gu, Rong-Xia Hao, Jou-Ming Chang:
The Component Connectivity of Alternating Group Graphs and Split-Stars. - Evgeniy Shishkin:
Debugging Smart Contract's Business Logic Using Symbolic Model-Checking. - Jean-Philippe Fauvelle, Alexandre Dey, Sylvain Navers:
Protection of an information system by artificial intelligence: a three-phase approach based on behaviour analysis to detect a hostile scenario. - Bo Du, Lixiang Ru, Chen Wu, Liangpei Zhang:
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images. - Shichao Li, Xin Yang, K. T. Tim Cheng:
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture. - Sandrine Anthoine, Yannick Boursier, Laurent Jacques:
Proceedings of the fourth "international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques" (iTWIST'18). - Francisco Javier Andrade Chavez, Gabriele Nava, Silvio Traversaro, Francesco Nori, Daniele Pucci:
Model Based In Situ Calibration with Temperature compensation of 6 axis Force Torque Sensors. - Amir Ebrahimi Fard, Rijk Mercuur, Virginia Dignum, Catholijn M. Jonker, Bartel A. Van de Walle:
Towards Agent-based Models of Rumours in Organizations: A Social Practice Theory Approach. - Fengxian Tang, Yonghu Yan, Limei Peng, Sanjay K. Bose, Gangxiang Shen:
Counter-Propagating Core Assignment in Multi-Core Fiber Optical Networks to Reduce Inter-Core Crosstalk and Capacity Wastage. - Wei-Chun Chen, Chia-Che Chang, Chien-Yu Lu, Che-Rung Lee:
Knowledge Distillation with Feature Maps for Image Classification. - Toni Adame, Marc Carrascosa, Boris Bellalta:
The TMB path loss model for 5 GHz indoor WiFi scenarios: On the empirical relationship between RSSI, MCS, and spatial streams. - Eoin Brophy, José Juan Dominguez Veiga, Zhengwei Wang, Alan F. Smeaton, Tomás E. Ward:
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data. - Christian Pinto, Yiannis Gkoufas, Andrea Reale, Seetharami Seelam, Steven Eliuk:
Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud. - Hamed Hassanzadeh, Mahnoosh Kholghi, Anthony N. Nguyen, Kevin Chu:
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals. - Hoang Dung Vu, Kok-Soon Chai, Bryan D. Keating, Nurislam Tursynbek, Boyan Xu, Kaige Yang, Xiaoyan Yang, Zhenjie Zhang:
Data Driven Chiller Plant Energy Optimization with Domain Knowledge. - Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu:
Building Sequential Inference Models for End-to-End Response Selection. - Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma:
Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery. - Francisco J. Soulignac:
Total 2-domination of proper interval graphs. - Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng:
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. - Yizhak Ben-Shabat
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks. - Sayan Putatunda
Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children. - Petros Koutras, Petros Maragos:
SUSiNet: See, Understand and Summarize it. - Shuaitao Zhang, Yuliang Liu, Lianwen Jin, Yaoxiong Huang, Songxuan Lai:
EnsNet: Ensconce Text in the Wild. - Abdulkadir Celik, Amer AlGhadhban, Basem Shihada, Mohamed-Slim Alouini
Design and Provision of Traffic Grooming for Optical Wireless Data Center Networks. - Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille:
CRAVES: Controlling Robotic Arm with a Vision-based Economic System. - Masanori Suganuma, Xing Liu, Takayuki Okatani:
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. - Hamed Rahmani Khezri, Puria Azadi Moghadam, Mohammad Karimzadeh-Farshbafan, Vahid Shah-Mansouri, Hamed Kebriaei, Dusit Niyato:
Deep Q-Learning for Dynamic Reliability Aware NFV-Based Service Provisioning. - Aryaman Gupta, Kalpit C. Thakkar, Vineet Gandhi
Nose, eyes and ears: Head pose estimation by locating facial keypoints. - David Stutz
Disentangling Adversarial Robustness and Generalization. - Huseyin Coskun:
Dynamic Ecological System Analysis. - Aleksey O. Zakharov, Yulia V. Kovalenko:
Construction and reduction of the Pareto set in asymmetric travelling salesman problem with two criteria. - Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama:
Testing Changes in Communities for the Stochastic Block Model. - Danielle Caled, Mário J. Silva:
FTR-18: Collecting rumours on football transfer news. - Mounir Baammi:
Malware static analysis and DDoS capabilities detection. - Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan
Generating Material Maps to Map Informal Settlements. - Rex C. Y. Cheung, Alexander Aue, Thomas C. M. Lee:
Segmenting Dynamic Network Data. - Rong Ge, Holden Lee, Andrej Risteski:
Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition. - Atul Kr. Ojha, Koel Dutta Chowdhury, Chao-Hong Liu, Karan Saxena:
The RGNLP Machine Translation Systems for WAT 2018. - Jinseok Choi, Gilwon Lee, Brian L. Evans:
A Hybrid Beamforming Receiver with Two-Stage Analog Combining and Low-Resolution ADCs. - Yingcong Tan, Andrew Delong, Daria Terekhov:
Deep Inverse Optimization. - Berk Kaya, Yigit Baran Can, Radu Timofte:
Towards Spectral Estimation from a Single RGB Image in the Wild. - Lijun Zhang, Yujin Zhang, Yongbin Gao:
A Wasserstein GAN model with the total variational regularization. - Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam
Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data. - Yerai Doval, Carlos Gómez-Rodríguez:
Comparing Neural- and N-Gram-Based Language Models for Word Segmentation. - Arnob Ghosh, Vaneet Aggarwal, Feng Qian:
A Robust Algorithm for Tile-based 360-degree Video Streaming with Uncertain FoV Estimation. - Yanpeng Yang, Hossein Shokri Ghadikolaei, Carlo Fischione, Marina Petrova, Ki Won Sung:
Fast and Reliable Initial Access with Random Beamforming for mmWave Networks. - Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. - Arnab Poddar, Md. Sahidullah, Goutam Saha:
Novel Quality Metric for Duration Variability Compensation in Speaker Verification using i-Vectors. - Carlos Munuera:
Locally Recoverable codes with local error detection. - Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, María Teresa Medina-Juliá, Ricardo Ron-Angevin:
Evaluation of flashing stimuli shape and colour heterogeneity using a P300 brain-computer interface speller. - Hengxuan Li, Collin F. Lynch, Tiffany Barnes:
Early Prediction of Course Grades: Models and Feature Selection. - Ziyao Zhang, Liang Ma, Konstantinos Poularakis, Kin K. Leung, Lingfei Wu:
DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN. - Klaus-Tycho Foerster, Juho Hirvonen, Stefan Schmid, Jukka Suomela:
On the Power of Preprocessing in Decentralized Network Optimization. - Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri:
Towards Solving Text-based Games by Producing Adaptive Action Spaces. - Andrew Stirn, Tony Jebara:
Thompson Sampling for Noncompliant Bandits. - Vijay Arvindh, Govind Aadithya R, Shravan Krishnan
Collision-Free Multi Robot Trajectory Optimization in Unknown Environments using Decentralized Trajectory Planning. - Shreya Goyal, Satya Bhavsar, Shreya Patel, Chiranjoy Chattopadhyay, Gaurav Bhatnagar:
SUGAMAN: Describing Floor Plans for Visually Impaired by Annotation Learning and Proximity based Grammar. - Henry Adams, Johnathan Bush, Brittany Carr, Lara Kassab, Joshua Mirth:
On the Nonlinear Statistics of Optical Flow. - Ranjith Dinakaran, Ahmed Bouridane, Li Zhang, Fozia Mehboob, A. Rauf, Richard Jiang:
Deep Learning based Pedestrian Detection at Distance in Smart Cities. - Glib Kechyn:
Automatic lesion boundary detection in dermoscopy. - Saúl Alonso-Monsalve
Image-based model parameter optimisation using Model-Assisted Generative Adversarial Networks. - Jonathan P. Chen, Fritz Obermeyer, Vladimir Lyapunov, Lionel Gueguen, Noah D. Goodman:
Joint Mapping and Calibration via Differentiable Sensor Fusion. - Sami Sebastian Brandt:
Integral Geometric Dual Distributions of Multilinear Models. - Sudharshan Chandra Babu, Shishira R. Maiya, Sivasankar Elango:
Relation Networks for Optic Disc and Fovea Localization in Retinal Images. - Shazia Akbar, Anne L. Martel
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology. - Wei Wei, Lingjie Xu, Lingling Jin, Wei Zhang, Tianjun Zhang:
AI Matrix - Synthetic Benchmarks for DNN. - Donghui Yan, Timothy W. Randolph, Jian Zou, Peng Gong:
Incorporating Deep Features in the Analysis of Tissue Microarray Images. - D. Yoan Loic Mekontchou Yomba:
A Consolidated Approach to Convolutional Neural Networks and the Kolmogorov Complexity. - Eduardo Ruiz, Walterio W. Mayol-Cuevas:
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection. - Xinyang Zhang, Ningfei Wang, Shouling Ji, Hua Shen, Ting Wang:
Interpretable Deep Learning under Fire. - Weijian Deng, Liang Zheng, Jianbin Jiao:
Domain Alignment with Triplets. - Dianxiong Liu, Jinlong Wang, Yuhua Xu, Lang Ruan, Yuli Zhang:
A Coalition-Based Communication Framework for Intelligent Flying Ad-Hoc Networks. - Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni:
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. - Elnaz Nouri, Ehsan Hosseini-Asl:
Toward Scalable Neural Dialogue State Tracking Model. - Karthik C. S., Pasin Manurangsi:
On Closest Pair in Euclidean Metric: Monochromatic is as Hard as Bichromatic. - Daewon Seo, Lav R. Varshney:
The CEO Problem with rth Power of Difference and Logarithmic Distortions. - Jonathan Eckstein, Gyorgy Matyasfalvi:
Efficient Distributed-Memory Parallel Matrix-Vector Multiplication with Wide or Tall Unstructured Sparse Matrices. - Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara:
From the User to the Medium: Neural Profiling Across Web Communities. - Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
The Right (Angled) Perspective: Improving the Understanding of Road Scenes using Boosted Inverse Perspective Mapping. - Minghan Li, Tanli Zuo, Ruicheng Li, Martha White, Weishi Zheng:
Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling. - Bumjin Im, Ang Chen, Dan S. Wallach:
An Historical Analysis of the SEAndroid Policy Evolution. - Ozsel Kilinc, Giovanni Montana:
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations. - Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell:
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection. - Yusuke Kawamoto, Takao Murakami:
Differentially Private Obfuscation Mechanisms for Hiding Probability Distributions. - Ashish Kumar, Saurabh Gupta, David F. Fouhey, Sergey Levine, Jitendra Malik:
Visual Memory for Robust Path Following. - Sergi Delgado-Segura, Surya Bakshi, Cristina Pérez-Solà, James Litton, Andrew Pachulski, Andrew Miller, Bobby Bhattacharjee:
TxProbe: Discovering Bitcoin's Network Topology Using Orphan Transactions. - Yijie Guo, Junhyuk Oh, Satinder Singh, Honglak Lee:
Generative Adversarial Self-Imitation Learning. - Noah J. Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster:
Keeping the Smart Home Private with Smart(er) IoT Traffic Shaping. - Arkaitz Zubiaga, Rob Procter, Carsten Maple:
A Longitudinal Analysis of the Public Perception of the Opportunities and Challenges of the Internet of Things. - Davide Belli, Shi Hu, Ecem Sogancioglu, Bram van Ginneken:
Chest X-Rays Image Inpainting with Context Encoders. - Dirk Sudholt:
Analysing the Robustness of Evolutionary Algorithms to Noise: Refined Runtime Bounds and an Example Where Noise is Beneficial. - Yanjun Li, Hengtong Kang, Ketian Ye, Shuyu Yin, Xiaolin Li:
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model. - Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. - Yanning Shen, Geert Leus, Georgios B. Giannakis:
Online Graph-Adaptive Learning with Scalability and Privacy. - Ahmed Abdelatty, Pracheta Sahoo, Chiradeep Roy:
Structure Learning Using Forced Pruning. - M. Rajaati, Mohammad Reza Hooshmandasl, M. Alambardar Meybodi, Bijan Davvaz:
On Mixed Domination in Generalized Petersen Graphs. - Aishwarya Kamath, Rajarshi Das:
A Survey on Semantic Parsing. - Xiao-Yang Liu, Zihan Ding, Sem C. Borst, Anwar Walid:
Deep Reinforcement Learning for Intelligent Transportation Systems. - Hamid Fekri Azgomi, Mo M. Jamshidi:
A Brief survey on Smart Community and Smart Transportation. - Chang Sun, Lianne Ippel
Analyzing Partitioned FAIR Health Data Responsibly. - Irene Córdoba
Ann: A domain-specific language for the effective design and validation of Java annotations. - Hashim A. Hashim, Lyndon J. Brown, Kenneth A. McIsaac:
Nonlinear Stochastic Position and Attitude Filter on the Special Euclidean Group 3. - Md. Redowan Mahmud, Rajkumar Buyya:
Modelling and Simulation of Fog and Edge Computing Environments using iFogSim Toolkit. - Robert J. Colvin, Graeme Smith:
A high-level operational semantics for hardware weak memory models. - Linlin Yang, Angela Yao:
Disentangling Latent Hands for Image Synthesis and Pose Estimation. - Ahmed Arafa, Sennur Ulukus:
Timely Updates in Energy Harvesting Two-hop Networks: Offline and Online Policies. - Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer:
DeepVoxels: Learning Persistent 3D Feature Embeddings. - Afshin Sadeghi, Sarven Capadisli, Johannes Wilm, Christoph Lange, Philipp Mayr:
Automatically Annotating Articles Towards Opening and Reusing Transparent Peer Reviews. - Ximeng Sun, Huijuan Xu, Kate Saenko:
A Two-Stream Variational Adversarial Network for Video Generation. - Chowdhury Rafeed Rahman, Preetom Saha Arko, Mohammed Eunus Ali, Mohammad Ashik Iqbal Khan, Abu Wasif, Md. Rafsan Jani, Md. Shahjahan Kabir:
Identification and Recognition of Rice Diseases and Pests Using Deep Convolutional Neural Networks. - Xue Feng, Nicholas J. Tustison, Craig H. Meyer:
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features. - Hamid Reza Vaezi Joze, Oscar Koller:
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language. - Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence
Transferring Knowledge across Learning Processes. - Nikhil Kotecha:
Bach2Bach: Generating Music Using A Deep Reinforcement Learning Approach. - Mohammad Raji, Behzad Montazeri:
On the Relationship Between Modularity and Stability in Software Packages. - Damien Busatto-Gaston
Symbolic Approximation of Weighted Timed Games. - Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang, Madalin Mihailescu, Ariel Sibilia, Ahmed Bilal Ashraf, Babak Taati:
A Hybrid Instance-based Transfer Learning Method. - Ishan Bhatnagar, Shubhang Bhatnagar:
QR code denoising using parallel Hopfield networks. - Hyunkwang Lee, Chao Huang, Sehyo Yune, Shahein H. Tajmir, Myeongchan Kim, Synho Do:
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction. - Sharon Shoham:
Undecidability of Inferring Linear Integer Invariants. - Wengong Jin, Kevin Yang, Regina Barzilay, Tommi S. Jaakkola:
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization. - Patricia Vitoria, Joan Sintes, Coloma Ballester:
Semantic Image Inpainting Through Improved Wasserstein Generative Adversarial Networks. - Peter Henderson, Emma Brunskill:
Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research. - Carlos Sarraute, Martin Minnoni:
Brief survey of Mobility Analyses based on Mobile Phone Datasets. - Humayun Irshad, Qazaleh Mirsharif, Jennifer Prendki:
Crowd Sourcing based Active Learning Approach for Parking Sign Recognition. - Zhiyu Sun, Jia Lu, Stephen Baek:
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation. - Jacqueline Brixey, Ramesh R. Manuvinakurike, Nham Le, Tuan Manh Lai, Walter Chang, Trung Bui:
A System for Automated Image Editing from Natural Language Commands. - Nathaniel Braman
Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network. - Sebastian Caldas, Peter Wu, Tian Li, Jakub Konecný, H. Brendan McMahan, Virginia Smith, Ameet Talwalkar:
LEAF: A Benchmark for Federated Settings. - Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian:
Correspondence Analysis of Government Expenditure Patterns. - João Caldeira
Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia. - Georgy Derevyanko, Guillaume Lamoureux:
TorchProteinLibrary: A computationally efficient, differentiable representation of protein structure. - Cristian Rusu:
On learning with shift-invariant structures. - Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann, J. Marius Zöllner:
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning. - Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman:
Mitigating Planner Overfitting in Model-Based Reinforcement Learning. - Hamidreza Tavafoghi, Yi Ouyang, Demosthenis Teneketzis:
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part I: Non-Strategic Agents. - Hamidreza Tavafoghi, Yi Ouyang, Demosthenis Teneketzis:
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part II: Strategic Agents. - Vibhuti Gupta, Rattikorn Hewett:
Unleashing the Power of Hashtags in Tweet Analytics with Distributed Framework on Apache Storm. - Mehran Elyasi, Soheil Mohajer:
Determinant Codes with Helper-Independent Repair for Single and Multiple Failures. - Philip R. Cohen:
Back to the Future for Dialogue Research: A Position Paper. - Anik Islam, Mohammed Belal Uddin, Md. Fazlul Kader, Soo Young Shin:
Blockchain based secure data handover scheme in non-orthogonal multiple access. - Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit:
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. - Sifei Luan, Di Yang, Koushik Sen, Satish Chandra:
Aroma: Code Recommendation via Structural Code Search. - Hugo A. Akitaya, Erik D. Demaine, Takashi Horiyama, Thomas C. Hull, Jason S. Ku, Tomohiro Tachi:
Rigid Foldability is NP-Hard. - Aaron Potechin:
Sum of squares bounds for the total ordering principle. - Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Pre-Defined Sparse Neural Networks with Hardware Acceleration. - Erik D. Demaine, Martin L. Demaine, David A. Huffman, Duks Koschitz, Tomohiro Tachi:
Conic Crease Patterns with Reflecting Rule Lines. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
On incompressible high order networks. - Md. Fazlul Kader, Mohammed Belal Uddin, Soo Young Shin:
Capacity and outage analysis of a dual-hop decode-and-forward relay-aided NOMA scheme. - Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau:
Deep Generative Modeling of LiDAR Data. - Jeffrey L. Krichmar, William Severa, Salar M. Khan, James Leland Olds
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future. - Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. - Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. - Wenjin Wu, Guojun Liu, Hui Ye, Chenshuang Zhang, Tianshu Wu, Daorui Xiao, Wei Lin, Xiaoyu Zhu:
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search. - Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon:
Learning to Fuse Things and Stuff. - Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. - Pragna Mannam, Alexander Volkov Jr., Robert Paolini, Gregory S. Chirikjian, Matthew T. Mason:
Sensorless Pose Determination using Randomized Action Sequences. - Nadisanka Rupasinghe, Yavuz Yapici, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Enhancing Physical Layer Security for NOMA Transmission in mmWave Drone Networks. - Junjie Wang, Bihuan Chen, Lei Wei, Yang Liu:
Superion: Grammar-Aware Greybox Fuzzing. - Sina Dabiri, Kevin P. Heaslip:
Twitter-based traffic information system based on vector representations for words. - Roohollah Etemadi, Jianguo Lu:
PES: Priority Edge Sampling in Streaming Triangle Estimation. - Gandeva Bayu Satrya, Soo Young Shin:
Evolutionary Computing Approach to Optimize Superframe Scheduling on Industrial Wireless Sensor Networks. - Mingzhe Chen, Omid Semiari, Walid Saad, Xuanlin Liu, Changchuan Yin:
Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks. - Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet:
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture. - Zhiyu Liu, Bo Wu, Jin Dai, Hai Lin:
Distributed Communication-aware Motion Planning for Networked Mobile Robots under Formal Specifications. - Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro:
Practical Text Classification With Large Pre-Trained Language Models. - Soroush Khaleghi, Wenjing Rao:
Repairability Enhancement of Scalable Systems with Locally Shared Spares. - Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi:
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination. - Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann:
Prototype-based Neural Network Layers: Incorporating Vector Quantization. - Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Parameter Re-Initialization through Cyclical Batch Size Schedules. - Masataro Asai:
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions. - Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu:
Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks. - Julian Büchel, Okan K. Ersoy:
Ladder Networks for Semi-Supervised Hyperspectral Image Classification. - Zhiyuan Jiang, Ziyan He, Sheng Chen, Andreas F. Molisch, Sheng Zhou, Zhisheng Niu:
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation. - Jason Y. Zhang, Anca D. Dragan:
Learning from Intended Corrections. - Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Learning Vine Copula Models For Synthetic Data Generation. - Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould:
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. - Roei Herzig, Elad Levi, Huijuan Xu, Eli Brosh, Amir Globerson, Trevor Darrell:
Classifying Collisions with Spatio-Temporal Action Graph Networks. - Zhuoran Shen, Mingyuan Zhang, Shuai Yi, Junjie Yan, Haiyu Zhao:
Factorized Attention: Self-Attention with Linear Complexities. - Hongyu Xiong, Ruixiao Sun:
Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation. - Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Shuguang Cui, Zhisheng Niu:
A Two-Step Learning and Interpolation Method for Location-Based Channel Database. - Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo:
Quantification and Analysis of Scientific Language Variation Across Research Fields. - Tuhin Sarkar, Alexander Rakhlin:
How fast can linear dynamical systems be learned? - Mohammad Naghshvar, Ahmed K. Sadek, Auke J. Wiggers:
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty. - George Larionov, Zachary Kaden, Hima Varsha Dureddy, Gabriel Bayomi Tinoco Kalejaiye, Mihir Kale, Srividya Pranavi Potharaju, Ankit Parag Shah, Alexander I. Rudnicky:
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture. - Shohei Yamamoto, Antonio Tejero-de-Pablos, Yoshitaka Ushiku, Tatsuya Harada:
Conditional Video Generation Using Action-Appearance Captions. - Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada:
Multimodal Explanations by Predicting Counterfactuality in Videos. - (Withdrawn) A Game-Theoretic Learning Framework for Multi-Agent Intelligent Wireless Networks.
- Szu-Yu Chou, Kai-Hsiang Cheng, Jyh-Shing Roger Jang, Yi-Hsuan Yang:
Learning to match transient sound events using attentional similarity for few-shot sound recognition. - Sanchayan Santra, Ranjan Mondal, Pranoy Panda, Nishant Mohanty, Shubham Bhuyan:
Image Dehazing via Joint Estimation of Transmittance Map and Environmental Illumination. - Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. - Kin Wah Edward Lin, Balamurali B. T., Enyan Koh, Simon Lui, Dorien Herremans
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. - Atsushi Kanehira, Tatsuya Harada:
Learning to Explain with Complemental Examples. - Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra:
Towards Continuous Domain adaptation for Healthcare. - Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura:
Rare Event Detection using Disentangled Representation Learning. - Yujun Shen, Bolei Zhou, Ping Luo, Xiaoou Tang:
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis. - Noureldien Hussein
Timeception for Complex Action Recognition. - (Withdrawn) Understanding Information Centrality Metric: A Simulation Approach.
- Pablo Fondo-Ferreiro, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga:
QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregates in Software-Defined Networks. - Pablo Fondo-Ferreiro, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga:
Implementing energy saving algorithms for Ethernet link aggregates with ONOS. - Yushan Gao, Thomas Blumensath:
BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems. - Ulrich Dorsch, Stefan Milius, Lutz Schröder:
Graded Monads for the Linear Time - Branching Time Spectrum. - Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun:
JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. - Herman J. Haverkort:
Finding the vertices of the convex hull, even unordered, takes Omega(n log n) time - a proof by reduction from epsilon-closeness. - Victor Boutin
From biological vision to unsupervised hierarchical sparse coding. - Cong Chen, Paolo Penna, Yinfeng Xu:
Online scheduling of jobs with favorite machines. - Blesson Varghese, Massimo Villari, Omer F. Rana, Philip James, Tejal Shah, Maria Fazio, Rajiv Ranjan:
Realizing Edge Marketplaces: Challenges and Opportunities. - Paulo Vitor de Campos Souza, Augusto Junio Guimarães, Vanessa Souza Araujo, Thiago Silva Rezende, Vinicius Jonathan Silva Araujo:
Regularized Fuzzy Neural Networks to Aid Effort Forecasting in the Construction and Software Development. - Mathieu Carrière, Raul Rabadan:
Topological Data Analysis of Single-cell Hi-C Contact Maps. - Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos. - Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe:
Megaphone: Live state migration for distributed streaming dataflows. - Siddharth Garg, Zahra Ghodsi, Carmit Hazay, Yuval Ishai, Antonio Marcedone, Muthuramakrishnan Venkitasubramaniam:
Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation. - Xiaoguang Lin, Yang Yong, Zhang Ju:
Design and implementation of smart cooking based on amazon echo. - Zelin Zhao, Gao Peng, Haoyu Wang, Haoshu Fang, Chengkun Li, Cewu Lu:
Estimating 6D Pose From Localizing Designated Surface Keypoints. - Jan Brabec
Bad practices in evaluation methodology relevant to class-imbalanced problems. - Roman E. Rolón, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner:
A multi-class structured dictionary learning method using discriminant atom selection. - Devraj Mandal, Pramod Rao, Soma Biswas:
A Deep Learning Framework for Semi-Supervised Cross-Modal Retrieval with Label Prediction. - Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang Bai:
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection. - Vahid Garousi, Markus Borg, Markku Oivo:
Cut to the chase: Revisiting the relevance of software engineering research. - Harkirat Singh Behl, Mohammad Najafi, Philip H. S. Torr:
Meta Learning Deep Visual Words for Fast Video Object Segmentation. - Wei Zeng, Sezer Karaoglu, Theo Gevers:
Inferring Point Clouds from Single Monocular Images by Depth Intermediation. - Zhan Yang, Osolo Ian Raymond, Wuqing Sun, Jun Long:
Deep Attention-guided Hashing. - Tao Liu, Jie Huang:
Discrete-Time Distributed Observers over Jointly Connected Switching Networks and an Application. - Vincent Schellekens, Laurent Jacques:
Compressive Classification (Machine Learning without learning). - Mikhail Karchevskiy, Insaf Ashrapov, Leonid Kozinkin:
Automatic salt deposits segmentation: A deep learning approach. - Bohdan Khomtchouk, Shyam Sudhakaran:
Modeling natural language emergence with integral transform theory and reinforcement learning. - Mehdi Hosseinzadeh, Guy Albert Dumont, Emanuele Garone:
Constrained Control of Depth of Hypnosis During Induction Phase. - Stefan Wagner, Matthias Tichy, Michael Felderer, Stefan Leue:
Verlässliche Software im 21. Jahrhundert. - Marco Pulimeno, Italo Epicoco, Massimo Cafaro:
Distributed mining of time-faded heavy hitters. - Qingguo Xiao, Guangyao Li, Qiaochuan Chen:
Deep Inception Generative Network for Cognitive Image Inpainting. - S. M. Dhannya, N. S. Narayanaswamy:
Conflict-Free Colouring using Maximum Independent Set and Minimum Colouring. - Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman:
The Visual Centrifuge: Model-Free Layered Video Representations. - Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht:
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. - Sushree Sangeeta Behera, Bappaditya Mandal, Niladri B. Puhan:
Cross-spectral Periocular Recognition: A Survey. - Enrico Piovano, Hamdi Joudeh, Bruno Clerckx:
Centralized and Decentralized Cache-Aided Interference Management in Heterogeneous Parallel Channels. - Michal Hledík, Thomas R. Sokolowski, Gasper Tkacik:
A Tight Upper Bound on Mutual Information. - Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis:
Matrix Factorization via Deep Learning. - Nuno M. G. Paulino, Mathias Foo, Jongmin Kim, Declan G. Bates:
On the stability of nucleic acid feedback controllers. - Suman Banerjee, Rogers Mathew:
An Inapproximability Result for the Target Set Selection Problem on Bipartite Graphs. - Brett K. Beaulieu-Jones, William Yuan, Samuel G. Finlayson, Zhiwei Steven Wu:
Privacy-Preserving Distributed Deep Learning for Clinical Data. - (Withdrawn) Hyperbolic Embeddings for Learning Options in Hierarchical Reinforcement Learning.
- Saket Tiwari, Philip S. Thomas:
Natural Option Critic. - Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. - Zuoyue Li, Jan Dirk Wegner, Aurélien Lucchi:
PolyMapper: Extracting City Maps using Polygons. - Rui Portocarrero Sarmento, André Tarrinho, Pedro Câmara, Vera Costa:
A System for Efficient Communication between Patients and Pharmacies. - Fei Wang, Zhenjiang Li, Jinsong Han:
Continuous User Authentication by Contactless Wireless Sensing. - Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella:
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems. - Imane Fouad, Nataliia Bielova, Arnaud Legout, Natasa Sarafijanovic-Djukic:
Tracking the Pixels: Detecting Web Trackers via Analyzing Invisible Pixels. - Pawel Korus, Nasir D. Memon:
Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels. - Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
SurfConv: Bridging 3D and 2D Convolution for RGBD Images. - Daniele Salvati, Carlo Drioli, Gian Luca Foresti:
Localization and Tracking of an Acoustic Source using a Diagonal Unloading Beamforming and a Kalman Filter. - Hang Chu, Daiqing Li, Sanja Fidler:
A Face-to-Face Neural Conversation Model. - (Withdrawn) Leveraging Multi-grained Sentiment Lexicon Information for Neural Sequence Models.
- Yue Zhao, Maciej K. Hryniewicki, Zain Nasrullah, Zheng Li:
LSCP: Locally Selective Combination in Parallel Outlier Ensembles. - Behrooz Khadem, Siavosh Abedi, Isa Sa-adatyar:
An Idea to Increase the Security of EAP-MD5 Protocol Against Dictionary Attack. - Joan Solà, Jérémie Deray, Dinesh Atchuthan:
A micro Lie theory for state estimation in robotics. - Muhammad Abdul Wahab, Pascal Cotret, Mounir Nasr Allah, Guillaume Hiet, Arnab Kumar Biswas, Vianney Lapôtre, Guy Gogniat:
A small and adaptive coprocessor for information flow tracking in ARM SoCs. - Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane, Luke Oakden-Rayner:
Towards generative adversarial networks as a new paradigm for radiology education. - Takayuki Kihara, Alberto Marcone
Searching for an analogue of ATR in the Weihrauch lattice. - Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers. - Rizwan Ahmed Khan, Arthur Crenn, Alexandre Meyer, Saïda Bouakaz:
A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE). - Tobias Christiani:
Optimal Boolean Locality-Sensitive Hashing. - Jeff Erickson, Yipu Wang:
Topologically Trivial Closed Walks in Directed Surface Graphs. - Netanel Raviv, Itzhak Tamo, Eitan Yaakobi:
Private Information Retrieval in Graph Based Replication Systems. - Neda Sakhaee, Mark C. Wilson:
Information Extraction Framework to Build Legislation Network. - Iris Rubi Seaman, Jan-Willem van de Meent, David Wingate:
Modeling Theory of Mind for Autonomous Agents with Probabilistic Programs. - Yang Liu, Wenwu Wang, Volkan Kilic:
Intensity Particle Flow SMC-PHD Filter For Audio Speaker Tracking. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Multilevel MIMO Detection with Deep Learning. - Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg:
A Duality-Based Unified Approach to Bayesian Mechanism Design. - Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim:
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search. - Alina Ene, Huy L. Nguyen, Adrian Vladu:
A Parallel Double Greedy Algorithm for Submodular Maximization. - Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro:
Improving Semantic Segmentation via Video Propagation and Label Relaxation. - Alexander Pilz, Emo Welzl, Manuel Wettstein:
From Crossing-Free Graphs on Wheel Sets to Embracing Simplices and Polytopes with Few Vertices. - Kaushal Kafle, Kevin Moran, Sunil Manandhar, Adwait Nadkarni, Denys Poshyvanyk:
A Study of Data Store-based Home Automation. - Donglai Xiang, Hanbyul Joo, Yaser Sheikh:
Monocular Total Capture: Posing Face, Body, and Hands in the Wild. - Mahyar Najibi, Bharat Singh, Larry S. Davis:
AutoFocus: Efficient Multi-Scale Inference. - Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics from Video. - Keerti Choudhary, Omer Gold:
Diameter Spanner, Eccentricity Spanner, and Approximating Extremal Graph Distances: Static, Dynamic, and Fault Tolerant. - Jacob Menick, Nal Kalchbrenner:
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling. - Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. - Nicola Galesi, Fariba Ranjbar, Michele Zito:
Vertex-Connectivity Measures for Node Failure Identification in Boolean Network Tomography. - Nitish Nag, Ramesh C. Jain:
A Navigational Approach to Health. - Jian Peng, Hao Jiang, Zhuo Li, Enqiang Guo, Xiaohong Wan, Min Deng, Qing Zhu, Haifeng Li:
Overcoming Catastrophic Forgetting by Soft Parameter Pruning. - Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli:
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. - Oren Dovrat, Itai Lang, Shai Avidan:
Learning to Sample. - Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. - Tillman Weyde, Radha Manisha Kopparti:
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations. - Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. - Niranjan Hasabnis:
Auto-tuning TensorFlow Threading Model for CPU Backend. - Muhammad Abdul Wahab, Pascal Cotret, Mounir Nasr Allah, Guillaume Hiet, Arnab Kumar Biswas, Vianney Lapôtre, Guy Gogniat:
A novel lightweight hardware-assisted static instrumentation approach for ARM SoC using debug components. - Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Matthew Mattina:
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning. - Martin Beaudry:
Proving that a Tree Language is not First-Order Definable. - Ning Jin, Yilin Zhu, Zhenglin Geng, Ronald Fedkiw:
A Pixel-Based Framework for Data-Driven Clothing. - Yahui Sun:
Solving group Steiner problems as Steiner problems: the rigorous proof. - Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. - Tianhang Zheng, Changyou Chen, Junsong Yuan, Kui Ren:
Learning Saliency Maps for Adversarial Point-Cloud Generation. - Emil Björnson, Erik G. Larsson:
How Energy-Efficient Can a Wireless Communication System Become? - KouZi Xing:
Training for 'Unstable' CNN Accelerator: A Case Study on FPGA. - Tatsuki Koga, Naoki Nonaka, Jun Sakuma, Jun Seita
General-to-Detailed GAN for Infrequent Class Medical Images. - Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee:
Spread of hate speech in online social media. - Haraldur Tómas Hallgrímsson, Filip Jankovic, Tim Althoff, Luca Foschini:
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data. - Gabriel Cadamuro, Aggrey Muhebwa, Jay Taneja:
Assigning a Grade: Accurate Measurement of Road Quality Using Satellite Imagery. - Éloi Brassard-Gourdeau, Richard Khoury:
Impact of Sentiment Detection to Recognize Toxic and Subversive Online Comments. - Zhenan Feng
Rapid 3D Reconstruction of Indoor Environments to Generate Virtual Reality Serious Games Scenarios. - Sebastian Bujwid, Miquel Martí, Hossein Azizpour, Alessandro Pieropan:
GANtruth - an unpaired image-to-image translation method for driving scenarios. - Yingxue Zhang, Michael G. Rabbat:
A Graph-CNN for 3D Point Cloud Classification. - Ye Zhu, Sven Ewan Shepstone, Pablo Martínez-Nuevo, Miklas Strøm Kristoffersen
Multiview Based 3D Scene Understanding On Partial Point Sets. - Jinyin Chen, Haibin Zheng, Hui Xiong, Mengmeng Su:
FineFool: Fine Object Contour Attack via Attention. - Yuji Yoshimura, Bill Yang Cai, Zhoutong Wang, Carlo Ratti:
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence. - Ahmed Ashraf, Shehroz S. Khan, Nikhil Bhagwat, M. Mallar Chakravarty, Babak Taati:
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies. - Thomas Unterthiner, Sjoerd van Steenkiste
Towards Accurate Generative Models of Video: A New Metric & Challenges. - Tarin Clanuwat, Mikel Bober-Irizar
Deep Learning for Classical Japanese Literature. - Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira:
Knowing what you know in brain segmentation using deep neural networks. - Mohamed Alzenad, Halim Yanikomeroglu:
Coverage and Rate Analysis for Unmanned Aerial Vehicle Base Stations with LoS/NLoS Propagation. - Seongkyu Mun, Suwon Shon:
Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion. - Dmytro Karamshuk, David Matthews:
Learning Cheap and Novel Flight Itineraries. - Siqi Liu, Eli Gibson
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. - Yuan Yao, Hyun Soo Park:
Multiview Cross-supervision for Semantic Segmentation. - Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith:
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. - Sharad Mehrotra, Kerim Yasin Oktay, Shantanu Sharma:
Exploiting Data Sensitivity on Partitioned Data. - Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Learning Single-View 3D Reconstruction with Adversarial Training. - Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-based Complementary Product Recommendation. - Ghaith Hattab, Danijela Cabric:
Performance Analysis of Uplink Cellular IoT Using Different Deployments of Data Aggregators. - Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoît Naegel:
Cerebrovascular Network Segmentation on MRA Images with Deep Learning. - Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang:
Moment Matching for Multi-Source Domain Adaptation. - Miguel Arduengo, Luis Sentis:
Robot Economy: Ready or Not, Here It Comes. - Tim G. J. Rudner
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. - Zachariah Carmichael, Seyed Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi:
Deep Positron: A Deep Neural Network Using the Posit Number System. - Dong Ma, Guohao Lan, Mahbub Hassan, Wen Hu, Mushfika Baishakhi Upama, Ashraf Uddin, Moustafa Youssef:
SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells. - Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. - Rohan Ghuge, Viswanath Nagarajan:
A Quasi-Polynomial Algorithm for Submodular Tree Orienteering in Directed Graphs. - Daniel Crankshaw, Gur-Eyal Sela, Corey Zumar, Xiangxi Mo, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
InferLine: ML Inference Pipeline Composition Framework. - Huanle Zhang, Ahmed Elmokashfi, Zhicheng Yang, Prasant Mohapatra:
Wireless Access to Ultimate Virtual Reality 360-Degree Video At Home. - Zhili Chen, Yu Wang, Shun Zhang, Hong Zhong, Lin Chen:
Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering. - (Withdrawn) Capture Dense: Markerless Motion Capture Meets Dense Pose Estimation.
- Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. - Balkis Abidi, Sadok Ben Yahia, Charith Perera:
Hybrid Microaggregation for Privacy-Preserving Data Mining. - Murat Pasa Uysal:
A Formal Method for Mapping Software Engineering Practices to Essence. - Sabah Al-Fedaghi, Mona Al-Otaibi:
Conceptual Modeling of a Procurement Process: Case study of RFP for Public Key Infrastructure. - Hedyeh Beyhaghi, S. Matthew Weinberg:
Optimal (and Benchmark-Optimal) Competition Complexity for Additive Buyers over Independent Items. - Jiaqi Chen, Xiaohu Ge, Qiang Ni:
Coverage and Handoff Analysis of 5G Fractal Small Cell Networks. - Shota Matsumoto, Ryota Yamanaka, Hirokazu Chiba:
Mapping RDF Graphs to Property Graphs. - Sourav Pal, Tharun Mohandoss, Pabitra Mitra:
Visual Attention for Behavioral Cloning in Autonomous Driving. - Haichuan Yang, Yuhao Zhu, Ji Liu:
ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. - Huangyi Ge, Sze Yiu Chau, Ninghui Li:
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples. - Chia-Wei Chen, Sheng-Chuan Chou, Lun-Wei Ku
Enriching Article Recommendation with Phrase Awareness. - Adam Sadilek, Stephanie Caty, Lauren DiPrete, Raed Mansour, Tom Schenk Jr., Mark Bergtholdt, Ashish Jha, Prem Ramaswami, Evgeniy Gabrilovich:
Machine-learned epidemiology: real-time detection of foodborne illness at scale. - Stephen Mussmann, Percy Liang:
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss. - Masataro Asai:
Photo-Realistic Blocksworld Dataset. - Mengya Gao, Yujun Shen, Quanquan Li, Chen Change Loy, Xiaoou Tang:
Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer. - Yifan Chen, Yevgeniy Vorobeychik:
Regularized Ensembles and Transferability in Adversarial Learning. - Guangyan Hu, Desheng Zhang, Sandro Rigo, Thu D. Nguyen:
Approximation with Error Bounds in Spark. - Peixi Peng, Junliang Xing, Lu Pang:
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration. - Piyush Mital, Saurabh Agarwal, Bhargavi Neti, Yashodhara Haribhakta, Vibhavari Kamble, Krishnanjan Bhattacharjee, Debashri Das, Swati Mehta, Ajai Kumar:
Graph based Question Answering System. - Chiranjib Saha, Harpreet S. Dhillon, Naoto Miyoshi, Jeffrey G. Andrews:
Unified Analysis of HetNets using Poisson Cluster Process under Max-Power Association. - Ignacio Cano, Lequn Chen, Pedro Fonseca, Tianqi Chen, Chern Cheah, Karan Gupta, Ramesh Chandra, Arvind Krishnamurthy:
ADARES: Adaptive Resource Management for Virtual Machines. - Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang:
Knowledge Distillation from Few Samples. - Guanyu Li, Pengfei Zhang, Caiyan Jia:
Attention Boosted Sequential Inference Model. - Dmitry Malioutov, Kuldeep S. Meel:
MLIC: A MaxSAT-Based framework for learning interpretable classification rules. - Jaiyam Sharma, Saket Navlakha:
Improving Similarity Search with High-dimensional Locality-sensitive Hashing. - Zongyi Zhao, Xingang Shi, Xia Yin, Zhiliang Wang:
HashFlow For Better Flow Record Collection. - Dusan Knop, Martin Koutecký, Matthias Mnich
Voting and Bribing in Single-Exponential Time. - Frédéric Blanqui, Guillaume Genestier:
Termination of λΠ modulo rewriting using the size-change principle (work in progress). - Jiaxin Shi, Hanwang Zhang, Juanzi Li:
Explainable and Explicit Visual Reasoning over Scene Graphs. - Sylvain Bouveret, Katarína Cechlárová, Julien Lesca:
Chore division on a graph. - Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich:
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. - Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-shot Object Detection via Feature Reweighting. - Kai Lei, Shangchun Si, Desi Wen, Ying Shen:
An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training. - Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. - Kai Lei, Kaiqi Yuan, Qiang Zhang, Ying Shen:
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs. - Ying Shen, Qiang Zhang, Jin Zhang, Jiyue Huang, Yuming Lu, Kai Lei:
Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding. - Benjamin Matthiss, Arghavan Momenifarahani, Kay Ohnmeiss, Martin Felder:
Influence of Demand and Generation Uncertainty on the Operational Efficiency of Smart Grids. - Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu:
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. - Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation. - Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen:
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. - Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu:
Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. - Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi:
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions. - Mariam Zouari, Nesrine Baklouti, Javier J. Sánchez Medina, Mounir Ben Ayed, Adel M. Alimi:
An Evolutionary Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (EHIT2FKRS) for Travel Route Assignment. - Wei Shen, Rujie Liu:
Learning to generate filters for convolutional neural networks. - Niko Reunanen, Ville Könönen, Hermanni Hälvä, Jani Mäntyjärvi, Arttu Lämsä
Computational Graph Approach for Detection of Composite Human Activities. - Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann:
Local Temporal Bilinear Pooling for Fine-grained Action Parsing. - Yan Zhang, Heiko Neumann:
An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls. - Qiankun Yu, Jigang Wu, Long Chen:
POEM: Pricing Longer for Edge Computing in the Device Cloud. - Jia Guo, Jiankang Deng, Niannan Xue, Stefanos Zafeiriou:
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment. - Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. - Swapneel Mehta
Anomaly Detection for Network Connection Logs. - Ke Ma, Qianqian Xu, Xiaochun Cao:
Robust Ordinal Embedding from Contaminated Relative Comparisons. - Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli
Unsupervised Generation of Optical Flow Datasets from Videos in the Wild. - Renaud-Alexandre Pitaval:
Time-Frequency Selective MIMO Precoding for OFDM with Insufficient CP. - Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer:
Closing the gap between software engineering education and industrial needs. - Vitor Bosshard, Benedikt Bünz, Benjamin Lubin, Sven Seuken:
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification. - Stefan Nothaas, Kevin Beineke, Michael Schöttner:
Ibdxnet: Leveraging InfiniBand in Highly Concurrent Java Applications. - Joseph Bethge, Marvin Bornstein, Adrian Loy, Haojin Yang, Christoph Meinel:
Training Competitive Binary Neural Networks from Scratch. - Jielei Chu, Tianrui Li, Hongjun Wang, Jing Liu, Hua Meng:
Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering. - Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Summarizing Videos with Attention. - Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge:
VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability. - Siddharth Bhandari, Prahladh Harsha, Tulasimohan Molli, Srikanth Srinivasan:
On the Probabilistic Degree of OR over the Reals. - Tomohiko Konno, Hodaka Kurokawa, Fuyuki Nabeshima, Yuki Sakishita, Ryo Ogawa, Iwao Hosako, Atsutaka Maeda:
Deep Learning Model for Finding New Superconductors. - Adam Badawy, Aseel Addawood, Kristina Lerman, Emilio Ferrara:
Characterizing the 2016 Russian IRA Influence Campaign. - Uli Fahrenberg, Christian Johansen, Christopher Trotter, Krzysztof Ziemianski:
Sculptures in Concurrency. - Liehuang Zhu, Baokun Zheng, Meng Shen, Shui Yu
Research on the Security of Blockchain Data: A Survey. - Stefan Milius, Henning Urbat:
Equational Axiomatization of Algebras with Structure. - Menglin Wang, Baisheng Lai, Zhongming Jin, Xiaojin Gong, Jianqiang Huang, Xiansheng Hua:
Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction. - Kook Jin Ahn, Graham Cormode, Sudipto Guha, Andrew McGregor, Anthony Wirth:
Correlation Clustering in Data Streams. - Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang:
Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission. - Haipeng Jia, Xueshuang Xiang, Da Fan, Meiyu Huang, Changhao Sun, Qingliang Meng, Yang He, Chen Chen:
DropPruning for Model Compression. - Robert Ganian, N. S. Narayanaswamy, Sebastian Ordyniak, C. S. Rahul, M. S. Ramanujan:
On the Complexity Landscape of Connected f -Factor Problems. - Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara:
Learn to See by Events: RGB Frame Synthesis from Event Cameras. - Vahid Aref:
Nonlinear Fourier Transform of Truncated Multi-Soliton Pulses. - Shile Li, Dongheui Lee:
Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer. - Milad Khaledyan, Tairan Liu, Marcio S. de Queiroz:
Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents. - Jinyuan Jia, Neil Zhenqiang Gong:
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. - Cristobal Camarero:
Simple, Fast and Practicable Algorithms for Cholesky, LU and QR Decomposition Using Fast Rectangular Matrix Multiplication. - Bernhard C. Geiger:
A Short Note on the Jensen-Shannon Divergence between Simple Mixture Distributions. - Qiaoying Huang, Xiao Chen, Mariappan S. Nadar:
End-to-end Segmentation with Recurrent Attention Neural Network. - Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High Speed Driving with a Deep Dynamic Observer. - Shuo Yang, Zhenzhe Zheng, Shaojie Tang, Fan Wu, Guihai Chen:
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing. - Sven Jacobsson, Ulf Gustavsson, Giuseppe Durisi, Christoph Studer:
Massive MU-MIMO-OFDM Uplink with Hardware Impairments: Modeling and Analysis. - Kubilay Atasu, Thomas Mittelholzer:
Low-Complexity Data-Parallel Earth Mover's Distance Approximations. - Vahid Aref, Son T. Le, Henning Bülow:
An Efficient Nonlinear Fourier Transform Algorithm for Detection of Eigenvalues from Continuous Spectrum. - Hadil Abukwaik, Mohammed Abufouda, Thejashree Nair, H. Dieter Rombach:
How practical is it? Machine Learning for Identifying Conceptual Interoperability Constraints in API Documents. - Jérémie Chalopin, Victor Chepoi
Unlabeled sample compression schemes and corner peelings for ample and maximum classes. - Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. - Christian Jilek, Markus Schröder, Rudolf Novik, Sven Schwarz, Heiko Maus, Andreas Dengel:
Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications. - Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang:
Learning Attraction Field Representation for Robust Line Segment Detection. - Sebastian A. Nugroho, Ahmad F. Taha, Christian G. Claudel:
A Control-Theoretic Approach for Modeling, Classification, and Robust Traffic Density Estimation. - Michael Segundo Ortiz
Toward Exploratory Search in Biomedicine: Evaluating Document Clusters by MeSH as a Semantic Anchor. - Abdullah Hamdi
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications. - Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
Integrated unpaired appearance-preserving shape translation across domains. - Felix Haub, Thorsten Laude, Jörn Ostermann:
HEVC Inter Coding Using Deep Recurrent Neural Networks and Artificial Reference Pictures. - Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen:
End-to-end contextual speech recognition using class language models and a token passing decoder. - Jordan Barrett, Christopher Duffy, Richard J. Nowakowski:
The Spread of Voting Attitudes in Social Networks. - Vijay Arya, Sayandeep Sen, Palanivel A. Kodeswaran:
Blockchain Enabled Trustless API Marketplace. - Tristan Deleu, Yoshua Bengio:
The effects of negative adaptation in Model-Agnostic Meta-Learning. - Bruno Messias, Luciano da F. Costa:
Characterization and space embedding of directed graphs and social networks through magnetic Laplacians. - Xiaoxiao Sun, Liang Zheng:
Dissecting Person Re-identification from the Viewpoint of Viewpoint. - Umanga Bista, Alexander Patrick Mathews, Minjeong Shin, Aditya Krishna Menon, Lexing Xie
Comparative Document Summarisation via Classification. - Siddharth Mayya, Pietro Pierpaoli, Magnus Egerstedt:
Voluntary Retreat for Decentralized Interference Reduction in Robot Swarms. - Jens Grubert, Eyal Ofek, Michel Pahud, Per Ola Kristensson:
The Office of the Future: Virtual, Portable and Global. - Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek:
Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems. - Rafael Gomes Mantovani
An empirical study on hyperparameter tuning of decision trees. - Danial Davarnia, John N. Hooker:
Consistency for 0-1 Programming. - Jonathan J. Hunt, André Barreto, Timothy P. Lillicrap, Nicolas Heess:
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction. - John N. Hooker:
Truly Autonomous Machines Are Ethical. - Praneet Singh, Kedar Deshpande:
Performance Evaluation of Cryptographic Ciphers on IoT Devices. - Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner:
Towards a Definition of Disentangled Representations. - Kyle Butt, Derek Sorensen, Michael Stay:
Casanova. - Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani:
Efficient and Robust Machine Learning for Real-World Systems. - Henk Barendregt:
Gems of Corrado Böhm. - Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman:
Photo Wake-Up: 3D Character Animation from a Single Photo. - Hao Lou, Farzad Farnoud, Moshe Schwartz, Jehoshua Bruck:
Evolution of k-mer Frequencies and Entropy in Duplication and Substitution Mutation Systems. - Aditi Chaudhary, Bhargavi Paranjape, Michiel de Jong:
Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. - Huan Gao, Yongqiang Wang:
Dynamics Based Privacy Protection for Average Consensus on Directed Graphs. - Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave, Steven Bohez, Yuval Tassa, Dan Belov, Nicolas Heess, Martin A. Riedmiller:
Relative Entropy Regularized Policy Iteration. - Houssem Ben Braiek, Foutse Khomh:
On Testing Machine Learning Programs. - Haimonti Dutta, Nitin Nataraj:
GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs. - David López-Pérez, Ming Ding:
A Brief History on the Theoretical Analysis of Dense Small Cell Wireless Networks. - Ruishan Liu, Nicoló Fusi, Lester Mackey:
Model Compression with Generative Adversarial Networks. - Yilei Zeng, Anna Sapienza, Emilio Ferrara:
The Influence of Social Ties on Performance in Team-based Online Games. - Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu:
Differentially Private Data Generative Models. - Alistair E. W. Johnson, Tom J. Pollard
Generalizability of predictive models for intensive care unit patients. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Differential Privacy Techniques for Cyber Physical Systems: A Survey. - Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar:
Adversarially Learned Anomaly Detection. - Srijan Kumar, Xikun Zhang, Jure Leskovec:
Learning Dynamic Embeddings from Temporal Interactions. - Xiangyun Tang, Liehuang Zhu, Meng Shen, Xiaojiang Du:
When Homomorphic Cryptosystem Meets Differential Privacy: Training Machine Learning Classifier with Privacy Protection. - Yaling Tao, Kentaro Takagi, Kouta Nakata:
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets. - Kamil Bujel, Feiko Lai, Michal Szczecinski, Winnie So, Miguel Fernandez:
Solving High Volume Capacitated Vehicle Routing Problem with Time Windows using Recursive-DBSCAN clustering algorithm. - Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. - Tahsin Mostafiz, Khalid Ashraf:
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study. - Mario Graff, Sabino Miranda-Jiménez, Eric Sadit Tellez, Daniela Moctezuma:
EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis. - Jan Kremer, Lasse Borgholt, Lars Maaløe:
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition. - Saïd Abdeddaïm, Sylvestre Vimard, Lina Fatima Soualmia
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain. - Edouard Fournier, Stéphane Grihon, Thierry Klein:
A case study : Influence of Dimension Reduction on regression trees-based Algorithms -Predicting Aeronautics Loads of a Derivative Aircraft. - Danilo Barros Mendes, Nilton Correia da Silva:
Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images. - Yilun Zhu, Yang Liu, Siyao Peng, Austin Blodgett, Yushi Zhao, Nathan Schneider:
Adpositional Supersenses for Mandarin Chinese. - Lida Zhang, Diego Klabjan:
Layer Flexible Adaptive Computational Time for Recurrent Neural Networks. - Daniel Philps, Tillman Weyde, Artur S. d'Avila Garcez, Roy Batchelor:
Continual Learning Augmented Investment Decisions. - Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman:
Quantifying Generalization in Reinforcement Learning. - Dae Young Park, Kwang Hee Lee:
Arbitrary Style Transfer with Style-Attentional Networks. - Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang:
Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation. - Qiongzheng Lin, Zhenlin An, Lei Yang:
Rebooting Ultrasonic Positioning Systems for Ultrasound-incapable Smart Devices. - Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Context-Aware Synthesis and Placement of Object Instances. - Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi:
Top-K Off-Policy Correction for a REINFORCE Recommender System. - Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. - Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
dynnode2vec: Scalable Dynamic Network Embedding. - Zeyad A. Al-Odat, Sudarshan K. Srinivasan, Eman Al-qtiemat, Mohana Asha Latha Dubasi, Sana Shuja:
IoT-Based Secure Embedded Scheme for Insulin Pump Data Acquisition and Monitoring. - Suin Kang, Hye Min Kim, Huy Kang Kim:
Trustworthy Smart Band: Security Requirement Analysis with Threat Modeling. - Muhammad Farhan, Qing Wang, Yu Lin, Brendan D. McKay:
A Highly Scalable Labelling Approach for Exact Distance Queries in Complex Networks. - Miguel Sepulcre, Javier Gozálvez:
Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks. - Pratik Jayarao, Chirag Jain, Aman Srivastava:
Exploring the importance of context and embeddings in neural NER models for task-oriented dialogue systems. - Dingzhu Wen
Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks. - Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong:
DNQ: Dynamic Network Quantization. - Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding Scene Graphs for Image Captioning. - Cheng Xu, Ce Zhang, Jianliang Xu:
vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases. - Antonious M. Girgis, Özgür Erçetin, Mohammed Nafie, Tamer A. ElBatt:
A Converse Bound for Cache-Aided Interference Networks. - Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. - Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. - Takayuki Katsuki, Takayuki Osogami, Akira Koseki, Masaki Ono, Michiharu Kudo, Masaki Makino, Atsushi Suzuki:
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps. - Semih Agcaer, Rainer Martin:
Binaural Source Localization based on Modulation-Domain Features and Decision Pooling. - Yuhui Xu, Yuxi Li, Shuai Zhang
Trained Rank Pruning for Efficient Deep Neural Networks. - Mijung Kim, Olivier Janssens, Ho-min Park, Jasper Zuallaert, Sofie Van Hoecke, Wesley De Neve:
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning. - Siddharth Pramod:
Elastic Gossip: Distributing Neural Network Training Using Gossip-like Protocols. - Prashant Gupta, Bala Krishnamoorthy:
Euler Transformation of Polyhedral Complexes. - Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Self-supervised Learning of Dense Shape Correspondence. - Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. - Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. - Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar, Ranjan Ramachandra, Santanu Bhattacharya:
A Review of Homomorphic Encryption Libraries for Secure Computation. - Julian Kullick
Generic machine identification and maximum efficiency operation of induction machines. - Dan Liu, Junhua Liu, Wu Guo, Shifu Xiong, Zhiqiang Ma, Rui Song, Chongliang Wu, Quan Liu:
The USTC-NEL Speech Translation system at IWSLT 2018. - Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. - Evgeny Izutov:
Fast and Accurate Person Re-Identification with RMNet. - Anand Mishra, Ajeet Kumar Singh:
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition. - Giovanni Sileno, Alexander Boer, Tom M. van Engers:
The Role of Normware in Trustworthy and Explainable AI. - Choorkunnu Narayanan Sminesh, Edward Grace Mary Kanaga, Ranjitha K.:
A Proactive Flow Admission and Re-Routing Scheme for Load Balancing and Mitigation of Congestion Propagation in SDN Data Plane. - Ram Krishna Pandey, K. Vignesh, A. G. Ramakrishnan, Chandrahasa B:
Binary Document Image Super Resolution for Improved Readability and OCR Performance. - Fabio Molinari, Alexander Martin Dethof, Jörg Raisch:
Traffic Automation in Urban Road Networks Using Consensus-based Auction Algorithms For Road Intersections. - Vassilis C. Nicodemou, Iason Oikonomidis, Georgios Tzimiropoulos, Antonis A. Argyros:
Learning to Infer the Depth Map of a Hand from its Color Image. - David Robben, Anna M. M. Boers, Henk A. Marquering, Lucianne L. C. M. Langezaal, Yvo B. W. E. M. Roos, Robert J. van Oostenbrugge, Wim H. van Zwam, Diederik W. J. Dippel, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Paul Suetens:
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning. - Cem Orhan, Öznur Tastan:
Active Learning Methods based on Statistical Leverage Scores. - Peng Yang, Ke Tang, Xin Yao:
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization. - Fadime Sener, Angela Yao:
Zero-Shot Anticipation for Instructional Activities. - Balaji Srinivasan Babu, Ganesh R. Kini, P. Vijay Kumar:
A Tight Rate Bound and Matching Construction for Locally Recoverable Codes with Sequential Recovery From Any Number of Multiple Erasures. - Eric Medvet, Alberto Bartoli, Alessio Ansuini, Fabiano Tarlao:
Observing the Population Dynamics in GE by means of the Intrinsic Dimension. - Petra Mutzel, Lutz Oettershagen:
On the Enumeration of Bicriteria Temporal Paths. - Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, Luisa Verdoliva:
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection. - Shuman Jia, Antoine Despinasse, Zihao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant:
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss. - Evgeny Getmantsev, Boris Zhurov, Timothy V. Pyrkov, Peter O. Fedichev:
A novel health risk model based on intraday physical activity time series collected by smartphones. - António Filipe Fonseca:
Representing pictures with emotions. - Jingyang Zhang, Hsin-Pai Cheng, Chunpeng Wu, Hai Li, Yiran Chen:
Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack. - Haifeng Wang:
Utilizing Imbalanced Data and Classification Cost Matrix to Predict Movie Preferences. - Dario Izzo, Dharmesh Tailor, Thomas Vasileiou:
On the stability analysis of optimal state feedbacks as represented by deep neural models. - Florentin Smarandache
Answers to Imamura Note on the Definition of Neutrosophic Logic. - Sherzod Hakimov, Soufian Jebbara, Philipp Cimiano:
Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases. - Jean Barbier, Mohamad Dia, Nicolas Macris, Florent Krzakala, Lenka Zdeborová:
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method. - Paul Ferrand, Marco Maso, Valerio Bioglio:
High-Rate Regular APSK Constellations. - Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Segmentation-driven 6D Object Pose Estimation. - Rohit Gandikota:
Computer Vision for Autonomous Vehicles. - Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel:
Deep-learning to Predict Perceived Differences to a Hidden Reference Image. - Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, Yanhong Wu:
Solving Pictorial Jigsaw Puzzle by Stigmergy-inspired Internet-based Human Collective Intelligence. - Vincent Conitzer:
Can Artificial Intelligence Do Everything That We Can? - Xinhang Zhang, Haoyuan Hu, Longfei Wang, Zhijun Sun, Ying Zhang, Kunpeng Han, Yinghui Xu:
A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System. - Sören Dittmer, Emily J. King, Peter Maass:
Singular Values for ReLU Layers. - Marcel Wild:
ALLSAT compressed with wildcards: Partitionings and face-numbers of simplicial complexes. - Osbert Bastani, Xin Zhang, Armando Solar-Lezama:
Verifying Fairness Properties via Concentration. - Zong Xuan Tan, Jake Brawer, Brian Scassellati:
That's Mine! Learning Ownership Relations and Norms for Robots. - Daniel Estrada
Conscious enactive computation. - Debasis Mitra:
Selected Qualitative Spatio-temporal Calculi Developed for Constraint Reasoning: A Review. - Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu:
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. - Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, R. Venkatesh Babu:
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold. - Yanyuan Qin:
Joint Target Detection, Tracking and Classification with Forward-Backward PHD Smoothing. - Ryoma Sin'ya:
Note on the Infiniteness of L(w1, ..., wk). - Tobias Christiani, Rasmus Pagh, Mikkel Thorup:
Confirmation Sampling for Exact Nearest Neighbor Search. - Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales:
Disjoint Label Space Transfer Learning with Common Factorised Space. - Kathrin Grosse, David Pfaff, Michael T. Smith, Michael Backes:
The Limitations of Model Uncertainty in Adversarial Settings. - Alexandre Ramé, Emilien Garreau, Hedi Ben-Younes, Charles Ollion:
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation. - Jin Shang, Muhammad Junaid Farooq, Quanyan Zhu:
Real-Time Transmission Mechanism Design for Wireless IoT Sensors with Energy Harvesting under Power Saving Mode. - Tillman Weyde, Radha Manisha Kopparti:
Modelling Identity Rules with Neural Networks. - Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Tube-CNN: Modeling temporal evolution of appearance for object detection in video. - Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu, Sargur N. Srihari:
Hybrid Feature Learning for Handwriting Verification. - Jenn-Bing Ong, Wee Keong Ng, C.-C. Jay Kuo:
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition. - Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, Stan Sclaroff:
Guided Zoom: Questioning Network Evidence for Fine-grained Classification. - Jeffrey A. Thompson, Jinxiang Hu, Dinesh Pal Mudaranthakam, David Streeter, Lisa Neums, Michele Park, Devin C. Koestler, Byron Gajewski, Matthew S. Mayo:
Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Healthcare Records. - Martin Bichler, Sören Merting, Aykut Uzunoglu:
Assigning Course Schedules: About Preference Elicitation, Fairness, and Truthfulness. - Si-An Chen, Voot Tangkaratt, Hsuan-Tien Lin, Masashi Sugiyama:
Active Deep Q-learning with Demonstration. - Anshul Goyal, Kartikeya Bhardwaj, Radu Marculescu:
Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks. - Yan Zuo, Gil Avraham, Tom Drummond:
Traversing Latent Space using Decision Ferns. - Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. - Frank McSherry, Andrea Lattuada, Malte Schwarzkopf:
K-Pg: Shared State in Differential Dataflows. - Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang
Pathological Evidence Exploration in Deep Retinal Image Diagnosis. - Matthew G. Reyes:
Local Conditioning: Exact Message Passing for Cyclic Undirected Distributed Networks. - Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation. - Hado van Hasselt, Yotam Doron, Florian Strub, Matteo Hessel, Nicolas Sonnerat, Joseph Modayil:
Deep Reinforcement Learning and the Deadly Triad. - Elias Bassani, Marco Viviani:
Feature Analysis for Assessing the Quality of Wikipedia Articles through Supervised Classification. - Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. - Nam Le, Jean-Marc Odobez:
Theoretical Guarantees of Deep Embedding Losses Under Label Noise. - Emily Fertig, Aryan Arbabi, Alexander A. Alemi:
β-VAEs can retain label information even at high compression. - Elad Hazan, Sham M. Kakade, Karan Singh, Abby Van Soest:
Provably Efficient Maximum Entropy Exploration. - Matthew Jagielski, Michael J. Kearns, Jieming Mao, Alina Oprea, Aaron Roth, Saeed Sharifi-Malvajerdi, Jonathan R. Ullman:
Differentially Private Fair Learning. - Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian:
Online Model Distillation for Efficient Video Inference. - Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. - Craig Rieger, Milos Manic:
On Critical Infrastructures, Their Security and Resilience - Trends and Vision. - Cees Ferdinand Verdier, Manuel Mazo Jr.:
Formal Synthesis of Analytic Controllers for Sampled-Data Systems via Genetic Programming. - Binny Mathew, Navish Kumar, Ravina, Pawan Goyal, Animesh Mukherjee:
Analyzing the hate and counter speech accounts on Twitter. - Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su:
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding. - Dingkang Wang, Yusu Wang:
An Improved Cost Function for Hierarchical Cluster Trees. - Carlos Esteves, Avneesh Sud, Zhengyi Luo, Kostas Daniilidis, Ameesh Makadia:
Cross-Domain 3D Equivariant Image Embeddings. - Alyson Maslowski, Halim Abbas, Kelley Abrams, Sharief Taraman, Ford Garberson, Susan Segar:
Project Rosetta: A Childhood Social, Emotional, and Behavioral Developmental Ontology. - Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representation. - Hanrui Wang, Jiacheng Yang, Hae-Seung Lee, Song Han:
Learning to Design Circuits. - Yuan Jin, Mark J. Carman, Ye Zhu, Yong Xiang:
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control. - Bo Luo, Min Li, Yu Li, Qiang Xu:
On Configurable Defense against Adversarial Example Attacks. - Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar:
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. - Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Knockoff Nets: Stealing Functionality of Black-Box Models. - Eugene A. Golikov, Maksim Kretov:
Embedding-reparameterization procedure for manifold-valued latent variables in generative models. - Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. - Tomas Wilkinson, Jonas Lindström, Anders Brun:
Neural Word Search in Historical Manuscript Collections. - Christopher Xie, Yu Xiang, Dieter Fox, Zaïd Harchaoui:
Object Discovery in Videos as Foreground Motion Clustering. - Gajendra J. Katuwal, Sandip Pandey, Mark Hennessey, Bishal Lamichhane:
Applications of Blockchain in Healthcare: Current Landscape & Challenges. - Yu Yang, Xiaoyang Xie, Zhihan Fang, Fan Zhang, Yang Wang, Desheng Zhang:
VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration. - Fabian Manhardt, Wadim Kehl, Adrien Gaidon:
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape. - Karan Sharma, Claudio Castellini, Egon L. van den Broek, Alin Albu-Schäffer, Friedhelm Schwenker:
A dataset of continuous affect annotations and physiological signals for emotion analysis. - Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar:
Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning. - Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. - Miguel Lázaro-Gredilla, Dianhuan Lin, J. Swaroop Guntupalli, Dileep George:
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs. - Kimberly Chou:
Multi-Hop Communication for nTorrent in a Wireless Ad Hoc Environment. - Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
Generation of Synthetic Electronic Medical Record Text. - Krishnamurthy Dvijotham, Marta Garnelo, Alhussein Fawzi, Pushmeet Kohli:
Verification of deep probabilistic models. - Raziel Alvarez, Hyun-Jin Park:
End-to-End Streaming Keyword Spotting. - Abraham Hinteregger, Bernhard Haslhofer:
An Empirical Analysis of Monero Cross-Chain Traceability. - Yanyi Zhang, Xinyu Li, Kaixiang Huang, Yehan Wang, Shuhong Chen, Ivan Marsic:
Tri-axial Self-Attention for Concurrent Activity Recognition. - Zhiqin Chen
Learning Implicit Fields for Generative Shape Modeling. - Artit Wangperawong:
Attending to Mathematical Language with Transformers. - Ali Bou Nassif, Omar Mahdi, Qassim Nasir, Manar AbuTalib, Mohammad Azzeh:
Machine Learning Classifications of Coronary Artery Disease. - Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell:
Neural Image Decompression: Learning to Render Better Image Previews. - Jiyang Chen, Zhiwei Feng, Jen-Yang Wen, Bo Liu, Lui Sha:
A Container-based DoS Attack-Resilient Control Framework for Real-Time UAV Systems. - Michael Bao, Matthew Cong, Stéphane Grabli, Ronald Fedkiw:
High-Quality Face Capture Using Anatomical Muscles. - Gary L. Miller, Noel J. Walkington, Alex L. Wang:
Hardy-Muckenhoupt Bounds for Laplacian Eigenvalues. - Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash:
Towards Hiding Adversarial Examples from Network Interpretation. - Anthony Palladino, Christopher J. Thissen:
Cyber Anomaly Detection Using Graph-node Role-dynamics. - Garrett Wilson, Diane J. Cook:
Adversarial Transfer Learning. - John Foley, Emma Tosch, Kaleigh Clary, David D. Jensen:
ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents. - Gang Luo:
Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction. - Xueqiang Zeng, Gang Luo:
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection. - Jihong Park, Sumudu Samarakoon, Mehdi Bennis, Mérouane Debbah:
Wireless Network Intelligence at the Edge. - Zongyi Zhao, Xingang Shi, Xia Yin, Zhiliang Wang:
PriMe: Per-Flow Network Measurement by Combining SRAM with DRAM. - Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian:
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. - Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification based on Image Configuration in Social Anxiety Disorder. - Mikio Kano, Kenta Noguchi, David Orden:
Non-crossing geometric spanning trees with bounded degree and monochromatic leaves on bicolored point sets. - Robert A. Bridges, Michael D. Iannacone, John R. Goodall, Justin M. Beaver:
How do information security workers use host data? A summary of interviews with security analysts. - Sam Witty, Jun Ki Lee, Emma Tosch, Akanksha Atrey, Michael L. Littman, David D. Jensen:
Measuring and Characterizing Generalization in Deep Reinforcement Learning. - Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu:
Gated Attentive-Autoencoder for Content-Aware Recommendation. - Yapeng Tian, Chenxiao Guan, Justin Goodman, Marc Moore, Chenliang Xu:
An Attempt towards Interpretable Audio-Visual Video Captioning. - Anqing Jiang
A new multilayer optical film optimal method based on deep q-learning. - André T. Nguyen, Edward Raff:
Adversarial Attacks, Regression, and Numerical Stability Regularization. - Saurabh Adya, Vinay Palakkode, Oncel Tuzel:
Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training. - Shikuan Li, Zipeng Li, Xiaohu Ge, Yonghui Li:
Uplinks Analysis and Optimization of Hybrid Vehicular Networks. - Yi Luo, Henry D. Pfister:
Adversarial Defense of Image Classification Using a Variational Auto-Encoder. - Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik:
Star Tracking using an Event Camera. - Michael Bao, Xinru Hua, Ronald Fedkiw:
Improved Search Strategies for Determining Facial Expression. - Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu:
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution. - Michael Bao, Jane Wu, Xinwei Yao, Ronald Fedkiw:
Deep Energies for Estimating Three-Dimensional Facial Pose and Expression. - Scott Fujimoto, David Meger, Doina Precup:
Off-Policy Deep Reinforcement Learning without Exploration. - Timothy Yang, Galen Andrew, Hubert Eichner, Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Françoise Beaufays:
Applied Federated Learning: Improving Google Keyboard Query Suggestions. - Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber:
Dynamic Role Binding in Blockchain-Based Collaborative Business Processes. - Pratik Jayarao, Aman Srivastava:
Intent Detection for code-mix utterances in task oriented dialogue systems. - Zhihao Fang, Xutao Guo, Xuemin Zhu, Ruixin Zhou, He Ma:
SeFM: A Sequential Feature Point Matching Algorithm for Object 3D Reconstruction. - Timm Faulwasser, Alexander Engelmann:
Towards economic NMPC for multi-stage AC optimal power flow. - Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar:
Internet of Things Search Engine: Concepts, Classification, and Open Issues. - Chengsheng Mao, Bin Hu, Lei Chen, Philip Moore, Xiaowei Zhang:
Local Distribution in Neighborhood for Classification. - Andreas Lenz, Paul H. Siegel, Antonia Wachter-Zeh, Eitan Yaakobi:
Coding over Sets for DNA Storage. - Idoia Ruiz
Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation. - Nathan F. Lepora, Alex Church, Conrad De Kerckhove, Raia Hadsell, John Lloyd:
From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor. - Mieczyslaw A. Klopotek, Slawomir T. Wierzchon:
On Marginally Correct Approximations of Dempster-Shafer Belief Functions from Data. - Luanzheng Guo, Dong Li, Ignacio Laguna:
PARIS: Predicting Application Resilience Using Machine Learning. - Richard Romano, Gustav Markkula, Erwin R. Boer, A. Hamish Jamson, Alex Bean, Andrew Tomlinson, Anthony Horrobin, Ehsan Sadraei:
An Objective Assessment of the Utility of a Driving Simulator for Low Mu Testing. - Dario Izzo, Marcus Märtens, Binfeng Pan:
A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control. - Hussein Mouzannar, Mesrob I. Ohannessian, Nathan Srebro:
From Fair Decision Making to Social Equality. - Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. - Piotr Szymanski, Tomasz Kajdanowicz, Nitesh V. Chawla:
LNEMLC: Label Network Embeddings for Multi-Label Classifiation. - Xue Wang, Mike Mingcheng Wei, Tao Yao:
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data. - Soumajit Majumder, Angela Yao:
Scale-aware multi-level guidance for interactive instance segmentation. - Delcho Donev, Georg Böcherer:
Polar-Coded Pulse Position Modulation for the Poisson Channel. - George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Improving Retrieval-Based Question Answering with Deep Inference Models. - Kevin Alexander Laube, Andreas Zell:
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search. - Chun-Ming Lai, Xiaoyun Wang, Jon William Chapman, Yu-Cheng Lin, Yu-Chang Ho, Shyhtsun Felix Wu, Patrick D. McDaniel, Hasan Cam:
More or Less? Predict the Social Influence of Malicious URLs on Social Media. - Fan Meng, Peng Chen, Lenan Wu:
Power Allocation in Multi-user Cellular Networks With Deep Q Learning Approach. - Radu Arsinte, Eugen Lupu:
An Experimental Evaluation Of Analog TV Cable Services Distributed In GPON Architecture. - Ehsan Pajouheshgar, Christoph H. Lampert:
Back to square one: probabilistic trajectory forecasting without bells and whistles. - Jae-Mo Kang, Chang-Jae Chun, Il-Min Kim, Dong In Kim:
Channel Tracking for Wireless Energy Transfer: A Deep Recurrent Neural Network Approach. - Kwangho Kim, Jisu Kim, Alessandro Rinaldo:
Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting. - Matthew Hague, Anthony W. Lin, Chih-Duo Hong:
CSS Minification via Constraint Solving (Technical Report). - Sophie M. Fosson:
A biconvex analysis for Lasso l1 reweighting. - Vahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo:
Optimal Dynamic Auctions are Virtual Welfare Maximizers. - Zecang Gu, Yin Liang, Zhaoxi Zhang:
The Modeling of SDL Aiming at Knowledge Acquisition in Automatic Driving. - Zunjie Zhu, Feng Xu:
Real-time Indoor Scene Reconstruction with RGBD and Inertia Input. - Arda Antikacioglu, Tanvi Bajpai, R. Ravi:
A new system-wide diversity measure for recommendations with efficient algorithms. - Alankrita Bhatt, Bobak Nazer, Or Ordentlich, Yury Polyanskiy:
Information-Distilling Quantizers. - Zeyu Zhou:
Per-Flow Cardinality Estimation Based On Virtual LogLog Sketching. - Jonathan Blanchette, Robert Laganière:
On Batch Orthogonalization Layers. - Lisa Tse, Peter Mountney, Paul Klein, Simone Severini:
Graph Cut Segmentation Methods Revisited with a Quantum Algorithm. - Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae:
Open Problems in Engineering and Quality Assurance of Safety Critical Machine Learning Systems. - Tobias Kappé
On Series-Parallel Pomset Languages: Rationality, Context-Freeness and Automata. - Grégoire Cattan, Anton Andreev
Analysis of tagging latency when comparing event-related potentials. - Zenit Music, Fabio Molinari, Sebastian Gallenmüller
Design of a Networked Controller for a Two-Wheeled Inverted Pendulum Robot. - Christine Dahn
Fixed-Parameter Algorithms for the Weighted Max-Cut Problem on Embedded 1-Planar Graphs. - Franc Brglez:
On Uncensored Mean First-Passage-Time Performance Experiments with Multiwalk in Rp: a New Stochastic Optimization Algorithm. - Mayank Bansal, Alex Krizhevsky, Abhijit S. Ogale:
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. - Heba Aly
Hapi: A Robust Pseudo-3D Calibration-Free WiFi-based Indoor Localization System. - Partha Das, Anil S. Baslamisli
Color Constancy by GANs: An Experimental Survey. - Rajeev Sahay, Rehana Mahfuz, Aly El Gamal:
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach. - Naghmeh Momeni, Michael G. Rabbat:
Effectiveness of Alter Sampling in Social Networks. - Davide Righini, Andrea M. Tonello:
New Findings about Multi Conductor Noise in Narrow Band PLC. - Yaxiong Xie, Jie Xiong, Mo Li, Kyle Jamieson
mD-Track: Leveraging Multi-Dimensionality in Passive Indoor Wi-Fi Tracking. - Yu-Chuan Su, Kristen Grauman:
Kernel Transformer Networks for Compact Spherical Convolution. - Marouan Belhaj, Pavlos Protopapas, Weiwei Pan:
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models. - Zeping Zhan, Batu Aytemiz, Adam M. Smith:
Taking the Scenic Route: Automatic Exploration for Videogames. - Jacob Dumford, Walter J. Scheirer:
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations. - Miltiades E. Anagnostou, Maria A. Lambrou:
Playing with and against Hedge. - Oksana Shadura, Brian Paul Bockelman, Vassil Vassilev:
Extending ROOT through Modules. - Oksana Shadura, Vassil Vassilev, Brian Paul Bockelman:
Continuous Performance Benchmarking Framework for ROOT. - Holger Dell, Dániel Marx:
Kernelization of Packing Problems. - Melih Bastopcu, Sennur Ulukus:
Scheduling a Human Channel. - Carmelo Sferrazza, Raffaello D'Andrea:
Transfer learning for vision-based tactile sensing. - Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis:
Variational Saccading: Efficient Inference for Large Resolution Images. - Amir Moradibaad, Ramin Jalilian Mashhoud:
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks. - Milica Bogicevic, Milan Merkle:
Approximate Calculation of Tukey's Depth and Median With High-dimensional Data. - Marcus Poulton, Anastasios Noulas, David Weston, George Roussos:
Modelling Metropolitan-area Ambulance Mobility under Blue Light Conditions. - Dhruv Gosain, Rishabh Joshi:
Removal of Parameter Adjustment of Frangi Filters in Case of Coronary Angiograms. - Kabir Manghnani, Adam Drake, Nathan Wan, Imran S. Haque:
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis. - Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra:
Deep-RBF Networks Revisited: Robust Classification with Rejection. - Martin E. Dyer, Catherine S. Greenhill, Haiko Müller:
Counting independent sets in graphs with bounded bipartite pathwidth. - Nikita Khromov, Alexander Korotin, Andrey Lange, Anton Stepanov, Evgeny Burnaev, Andrey Somov:
Esports Athletes and Players: a Comparative Study. - Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Residual Reinforcement Learning for Robot Control. - Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot:
Harmonic Networks: Integrating Spectral Information into CNNs. - Bruno Yuji Lino Kimura, Antonio Alfredo Ferreira Loureiro:
MPTCP Linux Kernel Congestion Controls. - Nevena Maric:
Cut polytope has vertices on a line. - Rama Kovvuri, Ram Nevatia:
PIRC Net : Using Proposal Indexing, Relationships and Context for Phrase Grounding. - Zhuo Xu, Chen Tang, Masayoshi Tomizuka:
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control. - Aaron Springer, Victoria Hollis, Steve Whittaker:
Dice in the Black Box: User Experiences with an Inscrutable Algorithm. - Aaron Springer, Steve Whittaker:
What Are You Hiding? Algorithmic Transparency and User Perceptions. - Victor Alfonso Rodriguez, Adler J. Perotte:
Phenotype inference with Semi-Supervised Mixed Membership Models. - Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang:
A Hybrid Approach to Privacy-Preserving Federated Learning. - Himan Abdollahpouri, Steve Essinger:
Towards Effective Exploration/Exploitation in Sequential Music Recommendation. - Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian M. Molloy:
Reaching Data Confidentiality and Model Accountability on the CalTrain. - Bahare Fatemi, Siamak Ravanbakhsh, David Poole:
Improved Knowledge Graph Embedding using Background Taxonomic Information. - Md Mehedi Hassan Onik, Mahdi H. Miraz, Chul-Soo Kim:
A Recruitment and Human Resource Management Technique Using Blockchain Technology for Industry 4.0. - Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis, Tamer Basar:
Communication-Efficient Distributed Reinforcement Learning. - Md. Kamruzzaman Sarker, Pascal Hitzler:
Efficient Concept Induction for Description Logics. - Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
Self-Improving Visual Odometry. - Danying Hu, Daniel DeTone, Vikram Chauhan, Igor Spivak, Tomasz Malisiewicz:
Deep ChArUco: Dark ChArUco Marker Pose Estimation. - Kishore Vasan, Jevin West:
Measuring scientific buzz. - Christina M. Mynhardt, Jane L. Wodlinger:
The k-conversion number of regular graphs. - Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou:
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. - Michel Besserve, Rémy Sun, Bernhard Schölkopf:
Counterfactuals uncover the modular structure of deep generative models. - Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu:
Neural Abstract Style Transfer for Chinese Traditional Painting. - Shivanshu Shrivastava:
Utility based Joint Uplink Downlink Optimization Energy Harvesting enabled Hybrid RF/VLC system. - Zhe Wang, Lingjie Duan, Rui Zhang:
Adaptive Deployment for UAV-Aided Communication Networks. - Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. - Weiwei Wan, Kensuke Harada, Fumio Kanehiro:
Preparatory Manipulation Planning using Automatically Determined Single and Dual Arms. - Fang Liu, Lihua Chen, Richard Kijowski, Li Feng:
SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction. - Thomas Mejstrik, Gianpaolo Evangelista:
Estimates of the Reconstruction Error in Partially Redressed Warped Frames Expansions. - Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen:
Achieving Data Truthfulness and Privacy Preservation in Data Markets. - Guangcong Wang, Jianhuang Lai, Peigen Huang, Xiaohua Xie:
Spatial-Temporal Person Re-identification. - Jiajun Du, Yu Qin, Hongtao Lu, Yonghua Zhang:
Attend More Times for Image Captioning. - Chanwoo Park, Jae-Myung Kim, Seok Hyeon Ha
Sampling-based Bayesian Inference with gradient uncertainty. - Paolo Santini, Marco Baldi, Franco Chiaraluce:
Cryptanalysis of a One-Time Code-Based Digital Signature Scheme. - Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey:
No Peek: A Survey of private distributed deep learning. - Oleksandr Kovalchuk, Yuri G. Gordienko, Sergii G. Stirenko:
Impact of MQTT Based Sensor Network Architecture on Delivery Delay Time. - Daqing Liu, Hanwang Zhang, Zheng-Jun Zha, Feng Wu:
Explainability by Parsing: Neural Module Tree Networks for Natural Language Visual Grounding. - Stefanos Pertigkiozoglou, Petros Maragos:
Detecting Adversarial Examples in Convolutional Neural Networks. - Peiyao Shen, Xuebo Zhang, Yongchun Fang:
Real-time Acceleration-continuous Path-constrained Trajectory Planning With Built-in Tradability Between Cruise and Time-optimal Motions. - Luca Cardelli, Mirco Tribastone, Max Tschaikowski:
From Electric Circuits to Chemical Networks. - Mohammed M. Alani:
IoT Lotto: Utilizing IoT Devices in Brute-Force Attacks. - Cheng Cheng, Guijun Ma, Yong Zhang, Mingyang Sun, Fei Teng, Han Ding, Ye Yuan:
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks. - Yu Zhang, Yongwang Zhao, David Sanán:
A Verified Timsort C Implementation in Isabelle/HOL. - Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J. Guibas:
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. - Felix G. Hamza-Lup, Jannick P. Rolland:
Scene Synchronization for Real-Time Interaction in Distributed Mixed Reality and Virtual Reality Environments. - Igal Sason:
Tight Bounds on the Rényi Entropy via Majorization with Applications to Guessing and Compression. - Felix G. Hamza-Lup, Adrian Seitan, Dorin M. Popovici, Crenguta M. Bogdan:
Medical Simulation and Training: "Haptic" Liver. - Yang Liu, Tianjian Chen, Qiang Yang:
Secure Federated Transfer Learning. - Jeremiah Zhe Liu, John W. Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull:
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process. - Erfan Ghadery, Sajad Movahedi, Heshaam Faili, Azadeh Shakery:
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure. - Henry Kvinge, Mark Blumstein:
Letting symmetry guide visualization: multidimensional scaling on groups. - Sangeetha Balasubramanian, Shruti Shriya Gullapuram, Abhinav Shukla:
Engagement Estimation in Advertisement Videos with EEG. - Dennis G. Wilson, Sylvain Cussat-Blanc, Hervé Luga, Kyle Ira Harrington:
Neuromodulated Learning in Deep Neural Networks. - Ceyhun Eksin, Keith Paarporn:
Control of learning in anti-coordination network games. - Lipu Zhou, Jiamin Ye, Montiel Abello, Shengze Wang, Michael Kaess:
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss. - Jonathon Byrd, Zachary C. Lipton:
Weighted Risk Minimization & Deep Learning. - Henry Adams, Ethan Coldren, Sean Willmot:
On Vietoris-Rips complexes of planar curves. - Smitha Gautham, Georgios Bakirtzis, Matthew T. Leccadito, Robert H. Klenke, Carl R. Elks:
A Multilevel Cybersecurity and Safety Monitor for Embedded Cyber-Physical Systems. - Robert Netzorg, Lauren Arnett, Augustin Chaintreau, Eugene Wu:
PopFactor: Live-Streamer Behavior and Popularity. - Tim Salimans, Richard Chen:
Learning Montezuma's Revenge from a Single Demonstration. - Rahul Kumar Jaiswal, Gaurav Saxena:
Biometric Recognition System (Algorithm). - Francesco Caravelli, Juan Pablo Carbajal:
Memristors for the Curious Outsiders. - Yuka Yoneda, Mahito Sugiyama, Takashi Washio:
Learning Graph Representation via Formal Concept Analysis. - Seyed-Vahid Sanei-Mehri, Yu Zhang, Ahmet Erdem Sariyüce, Srikanta Tirthapura:
Counting Butterfies from a Large Bipartite Graph Stream. - Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos:
Efficient transfer learning and online adaptation with latent variable models for continuous control. - Zachary Seymour, Karan Sikka, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar:
Semantically-Aware Attentive Neural Embeddings for Image-based Visual Localization. - Blerta Lindqvist, Shridatt Sugrim, Rauf Izmailov:
AutoGAN: Robust Classifier Against Adversarial Attacks. - Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models. - Manikanta Reddy:
Fishy Cyber Attack Detection in Industrial Control Systems. - Robert Dürichen, Thomas Rocznik, Oliver Renz, Christian Peters:
Binary Input Layer: Training of CNN models with binary input data. - Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He:
Feature Denoising for Improving Adversarial Robustness. - Cristian Rusu:
Learning Multiplication-free Linear Transformations. - Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. - Sagnik Das, Nisha Gandhi, Tejas Naik, Roy Shilkrot:
Increase Apparent Public Speaking Fluency By Speech Augmentation. - Faris B. Mismar, Brian L. Evans:
Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks. - Ali Rezaei
A global sensitivity analysis and reduced order models for hydraulically-fractured horizontal wells. - Vedanshu, Madan Mohan Tripathi:
Zero Initialization of modified Gated Recurrent Encoder-Decoder Network for Short Term Load Forecasting. - Xinpeng Chen, Lin Ma, Jingyuan Chen, Zequn Jie, Wei Liu, Jiebo Luo:
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network. - Gary P. T. Choi, Bernard Chiu, Chris H. Rycroft:
Area-preserving mapping of 3D ultrasound carotid artery images using density-equalizing reference map. - Yang Song, Chong Xiao Wang, Wee Peng Tay:
Compressive Privacy for a Linear Dynamical System. - Richard Skarbez, Doug A. Bowman, J. Todd Ogle, Thomas W. Tucker, Joseph L. Gabbard:
Virtual replicas of real places: Experimental investigations. - Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer:
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. - Muhammad Marwan Muhammad Fuad:
Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality. - Loet Leydesdorff, Lutz Bornmann, Jonathan Adams:
I3: A Non-Parametric Alternative to the Journal Impact Factor. - Chloe Eunhyang Kim, Mahdi Maktab Dar Oghaz, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino:
A Comparison of Embedded Deep Learning Methods for Person Detection. - Xiaopeng Luo:
Minima distribution for global optimization. - Serge Gratton, Philippe L. Toint:
A note on solving nonlinear optimization problems in variable precision. - Sebastian Kauschke, David Hermann Lehmann:
Towards Neural Network Patching: Evaluating Engagement-Layers and Patch-Architectures. - Ruben A. Gevorgyan, Yenok B. Hakobyan:
A matching based clustering algorithm for categorical data. - Daphna Weinshall, Dan Amir:
Theory of Curriculum Learning, with Convex Loss Functions. - Maciej Pesko, Adam Svystun, Pawel Andruszkiewicz, Przemyslaw Rokita, Tomasz Trzcinski:
Comixify: Transform video into a comics. - Anastasis Keliris, Michail Maniatakos:
ICSREF: A Framework for Automated Reverse Engineering of Industrial Control Systems Binaries. - Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve:
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. - Bishal Ghosh, Abhinav Dhall, Ekta Singla:
Speech-Gesture Mapping and Engagement Evaluation in Human Robot Interaction. - Mohammad Amin Sheikhi, Seyed Mohammad Razavizadeh:
Security Vulnerability of FDD Massive MIMO Systems in Downlink Training Phase. - Haofu Liao, Addisu Mesfin, Jiebo Luo:
Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information. - Haofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo:
Adversarial Sparse-View CBCT Artifact Reduction. - Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk:
From Coarse to Fine: Robust Hierarchical Localization at Large Scale. - Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou:
More Knowledge is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring. - Jorge Fandinno, Johannes Klaus Fichte:
Proceedings of the elevent Workshop on Answer Set Programming and Other Computing Paradigms 2018. - Ziming Li, Julia Kiseleva, Maarten de Rijke:
Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. - Benjamin Doerr, Weijie Zheng:
Working Principles of Binary Differential Evolution. - Petr Jancar:
Equivalence of pushdown automata via first-order grammars. - R. Vinayakumar, Barathi Ganesh HB, Prabaharan Poornachandran, Anand Kumar M, Soman K. P:
Deep-Net: Deep Neural Network for Cyber Security Use Cases. - Haofu Liao, Yuncheng Li, Jiebo Luo:
Skin Disease Classification versus Skin Lesion Characterization: Achieving Robust Diagnosis using Multi-label Deep Neural Networks. - Haofu Liao, Jiebo Luo:
A Deep Multi-task Learning Approach to Skin Lesion Classification. - Maria Glenski, Tim Weninger, Svitlana Volkova:
Propagation from Deceptive News Sources: Who Shares, How Much, How Evenly, and How Quickly? - Mark Sh. Levin
On balanced clustering with tree-like structures over clusters. - Rohit Garg, Shichao Yang, Sebastian A. Scherer:
Monocular and Stereo Cues for Landing Zone Evaluation for Micro UAVs. - Yubo Zhang, Pavel Tokmakov, Cordelia Schmid, Martial Hebert:
A Structured Model For Action Detection. - Kai Ding, Homayoun Yousefi'zadeh, Faryar Jabbari:
A Robust Advantaged Node Placement Strategy for Sparse Network Graphs. - Pushpak Jagtap, Fardin Abdi, Matthias Rungger, Majid Zamani, Marco Caccamo:
Software Fault Tolerance for Cyber-Physical Systems via Full System Restart. - Kamran Keykhosravi, Marco Secondini, Giuseppe Durisi, Erik Agrell:
How to Increase the Achievable Information Rate by Per-Channel Dispersion Compensation. - Setareh Maghsudi, Mihaela van der Schaar:
Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty? - Rada Deeb, Joost van de Weijer, Damien Muselet, Mathieu Hébert, Alain Trémeau:
Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections. - Stephen Tu, Benjamin Recht:
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint. - Divyansh Aggarwal, Elchin Valiyev, Fadime Sener, Angela Yao:
Learning Style Compatibility for Furniture. - Ambrose Bonnaire-Sergeant, Rowan Davies, Sam Tobin-Hochstadt:
Practical Optional Types for Clojure. - Kevin L. Chang, Alantha Newman:
Rounding semidefinite programs for large-domain problems via Brownian motion. - Joyson Sebastian, Suhas N. Diggavi:
On the Generalized Degrees of Freedom of Noncoherent Interference Channel. - Robert M. Oliveira, Rodrigo C. de Lamare:
Study of Puncturing Techniques for Polar Codes in 5G Cellular and IoT Networks. - Konrad Kulakowski, Anna Prusak, Jacek Szybowski:
Towards quantification of incompleteness in the pairwise comparisons method. - Erik D. Demaine, Dylan H. Hendrickson, Jayson Lynch:
A General Theory of Motion Planning Complexity: Characterizing Which Gadgets Make Games Hard. - Chenguang Zhu, Michael Zeng, Xuedong Huang:
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering. - (Withdrawn) New Perfect Nonlinear Functions over Finite Fields.
- Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
PoseFix: Model-agnostic General Human Pose Refinement Network. - Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars:
Task-Free Continual Learning. - Ivan Homoliak, Dominik Breitenbacher, Alexander Binder, Pawel Szalachowski:
An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets. - Wei Wang, Liqiang Zhu:
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression. - Jiahao Deng, Brandon H. Meng, Iyad Kanj, Isuru S. Godage:
Near-optimal Smooth Path Planning for Multisection Continuum Arms. - Cheuk Ting Li, Venkat Anantharam:
A Unified Framework for One-shot Achievability via the Poisson Matching Lemma. - Fei Shu, Charles-Antoine Julien, Vincent Larivière:
Does the Web of Science Accurately Represent Chinese Scientific Performance? - Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu:
Learning Non-Uniform Hypergraph for Multi-Object Tracking. - Daichi Ono, Hiroyuki Yabe, Tsutomu Horikawa:
3D Scene Parsing via Class-Wise Adaptation. - Mohamed Yousri Mahmoud, Amy P. Felty:
Formalization of Metatheory of the Quipper Quantum Programming Language in a Linear Logic. - Shaohua Wang, Song Gao, Xin Feng, Alan T. Murray, Yuan Zeng:
A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks. - Giulio Zhou, Subramanya Dulloor, David G. Andersen, Michael Kaminsky:
EDF: Ensemble, Distill, and Fuse for Easy Video Labeling. - Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to aid Visual Reasoning. - Shoumik Sharar Chowdhury, Nazmus Saquib, Niamat Zawad, Manash Kumar Mandal, Syed Arefinul Haque:
Statement networks: a power structure narrative as depicted by newspapers. - Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Li-Chun Wang:
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach. - Akash Raj, Tram Truong Huu, Purnima Murali Mohan, Mohan Gurusamy:
Crossfire Attack Detection using Deep Learning in Software Defined ITS Networks. - Karthik Desingh, Shiyang Lu, Anthony Opipari, Odest Chadwicke Jenkins:
Factored Pose Estimation of Articulated Objects using Efficient Nonparametric Belief Propagation. - Srinikethan Madapuzi Srinivasan, Tram Truong Huu, Mohan Gurusamy:
Machine Learning-based Link Fault Identification and Localization in Complex Networks. - Joseph M. Hellerstein, Jose M. Faleiro, Joseph E. Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu:
Serverless Computing: One Step Forward, Two Steps Back. - Lakshmi Sirisha Revadi, Xi Zheng, Yupeng Jiang:
Investigating Key User Experiencing Engineering Aspects in Software-as-a-Service Service Delivery Model. - Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Learning Embedding Adaptation for Few-Shot Learning. - Najoua Rahal, Maroua Tounsi, Adel M. Alimi:
Auto-Encoder-BoF/HMM System for Arabic Text Recognition. - Miljan Petrovic, Thomas William Arthur Bolton, Maria Giulia Preti, Raphaël Liégeois, Dimitri Van De Ville:
Guided Graph Spectral Embedding: Application to the C. elegans Connectome. - Neema Davis, Gaurav Raina, Krishna P. Jagannathan:
Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks. - Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. - Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen:
Defending against Universal Perturbations with Shared Adversarial Training. - Hugo Germain, Guillaume Bourmaud, Vincent Lepetit:
Efficient Condition-based Representations for Long-Term Visual Localization. - Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao:
Ramp-based Twin Support Vector Clustering. - Marion Gödel, Gerta Köster, Daniel Lehmberg, Manfred Gruber, Angelika Kneidl, Florian Sesser:
Can we learn where people go? - Wendong Wang, Feng Zhang, Zhi Wang, Jianjun Wang:
Coherence-Based Performance Guarantee of Regularized 𝓁1-Norm Minimization and Beyond. - Mike Thelwall
Gender and Research Publishing in India: Uniformly high inequality? - Pierre Vandenhove:
Functional Design of Computation Graph. - Pranav A
Inflo: News Categorization and Keyphrase Extraction for Implementation in an Aggregation System. - Seonho Kim, Song-Nam Hong:
A Supervised-Learning Detector for Multihop Distributed Reception Systems. - Sander Beckers, Joseph Y. Halpern:
Abstracting Causal Models. - Jean-Michel Roufosse, Maks Ovsjanikov:
Unsupervised Deep Learning for Structured Shape Matching. - Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Thomas Probst, Luc Van Gool:
Image-based Navigation using Visual Features and Map. - Sophea Chhun, Néjib Moalla, Yacine Ouzrout:
Ontology based Approach for Semantic Service Selection in Business Process Re-Engineering. - Marcel Nassar:
Hierarchical Bipartite Graph Convolution Networks. - Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall:
Learning to Drive from Simulation without Real World Labels. - Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
Asynchronous Training of Word Embeddings for Large Text Corpora. - Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. - Nofar Carmeli, Markus Kröll:
Enumeration Complexity of Unions of Conjunctive Queries. - Haofeng Jia, Erik Saule:
Graph Embedding for Citation Recommendation. - Deepesh Data, Gowtham R. Kurri, Jithin Ravi, Vinod M. Prabhakaran:
Interactive Secure Function Computation. - Xuguang Duan, Wen-bing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, Junzhou Huang:
Weakly Supervised Dense Event Captioning in Videos. - Ankur Singh, Anurag Chanani, Harish Karnick:
Video Colorization using CNNs and Keyframes extraction: An application in saving bandwidth. - Dmitriy Baranov, Sergey Mitsyn, Pavel Goncharov, Gennady Ososkov:
The particle track reconstruction based on deep learning neural networks. - Veeraruna Kavitha, Manu K. Gupta, Véronique Capdevielle, Rahul Kishor, Majed Haddad:
Speed Based Optimal Power Control in Small Cell Networks. - Naveen Sundar Govindarajulu, Selmer Bringsjord, Rikhiya Ghosh:
Toward the Engineering of Virtuous Machines. - Antonio Bevilacqua, Bing Quan Huang, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Automatic Classification of Knee Rehabilitation Exercises Using a Single Inertial Sensor: a Case Study. - Maurice Margenstern:
A decidability result for the halting problem of cellular automata in the pentagrid. - David Croft, Matthew England:
Computing with Codio at Coventry University: Online virtual Linux boxes and automated formative feedback. - Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin:
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning. - Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer:
Regularization by architecture: A deep prior approach for inverse problems. - Helen Oleynikova, Zachary Taylor, Alexander Millane, Roland Siegwart, Juan I. Nieto:
A Complete System for Vision-Based Micro-Aerial Vehicle Mapping, Planning, and Flight in Cluttered Environments. - Reza Khodayi-mehr, Michael M. Zavlanos:
Model-Based Learning of Turbulent Flows using Mobile Robots. - Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang:
Attention-guided Unified Network for Panoptic Segmentation. - Hung-Yu Chen, I-Sheng Fang, Wei-Chen Chiu:
Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer. - Chandan K. A. Reddy, Gautam Shreedhar Bhat, Nikhil Shankar, Issa M. S. Panahi:
A Computationally Efficient and Practically Feasible Two Microphones Blind Speech Separation Method. - Cillian Brewitt, Nigel H. Goddard:
Non-Intrusive Load Monitoring with Fully Convolutional Networks. - Chandan K. A. Reddy, Nikhil Shankar, Gautam Shreedhar Bhat, Ram Charan, Issa M. S. Panahi:
An individualized super Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive device. - Anik Islam, Md. Fazlul Kader, Soo Young Shin:
BSSSQS: A Blockchain Based Smart and Secured Scheme for Question Sharing in the Smart Education System. - Amit Datta, Jianan Lu, Michael Carl Tschantz:
The Effectiveness of Privacy Enhancing Technologies against Fingerprinting. - Íñigo Íncer Romeo
A Metric for Linear Temporal Logic. - Yan Zhang, Jonathon S. Hare, Adam Prügel-Bennett:
Learning Representations of Sets through Optimized Permutations. - Kousha Nakhaei, Ebrahim Ansari, Fateme Ansari:
JSSignature: Eliminating Third-Party-Hosted JavaScript Infection Threats Using Digital Signatures. - Marzieh Gheisari
Aggregation and Embedding for Group Membership Verification. - Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh:
Data Fine-tuning. - Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. - Hui Liu, Zhangxin Chen:
A Scalable Thermal Reservoir Simulator for Giant Models on Parallel Computers. - Hadi Abdi Khojasteh, Alireza Abbas Alipour, Ebrahim Ansari, Parvin Razzaghi:
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles. - Norman Di Palo, Harri Valpola:
Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization. - Sándor Kisfaludi-Bak:
Hyperbolic intersection graphs and (quasi)-polynomial time. - Rohit Keshari, Richa Singh, Mayank Vatsa:
Guided Dropout. - Abdullah Al Farooq, Ehab Al-Shaer, Thomas Moyer, Krishna Kant:
IoTC2: A Formal Method Approach for Detecting Conflicts in Large Scale IoT Systems. - Dustin Tran, Michael W. Dusenberry, Mark van der Wilk, Danijar Hafner:
Bayesian Layers: A Module for Neural Network Uncertainty. - Hung P. Do, Yi Guo, Andrew J. Yoon, Krishna S. Nayak:
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN. - Zhiwei Fan, Jianqiao Zhu, Zuyu Zhang, Aws Albarghouthi, Paraschos Koutris, Jignesh M. Patel:
Scaling-Up In-Memory Datalog Processing: Observations and Techniques. - Shahin Khobahi, Mojtaba Soltanalian:
Signal Recovery From 1-Bit Quantized Noisy Samples via Adaptive Thresholding. - Francesca Rossi, Nicholas Mattei:
Building Ethically Bounded AI. - Sanjeev Arora, Zhiyuan Li, Kaifeng Lyu:
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization. - Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. - Salonik Resch, S. Karen Khatamifard, Zamshed Iqbal Chowdhury, Masoud Zabihi, Zhengyang Zhao, Jianping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu:
Exploiting Processing in Non-Volatile Memory for Binary Neural Network Accelerators. - Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu:
Real-time Closed Loop Neural Decoding on a Neuromorphic Chip. - Yuka Takahashi, Vassil Vassilev, Oksana Shadura, Raphael Isemann:
Optimizing Frameworks Performance Using C++ Modules Aware ROOT. - William H. W. Thompson, Zachary Wojtowicz, Simon DeDeo:
Lévy Flights of the Collective Imagination. - Hossein Moradian, Solmaz S. Kia:
On the Positive Effect of Delay on the Rate of Convergence of a Class of Linear Time-Delayed Systems. - Gianni Franchi
Supervised Deep Kriging for Single-Image Super-Resolution. - Xin Zhang, Jia Liu, Zhengyuan Zhu
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks. - Henk Don, Hans Zantema:
Counting symbol switches in synchronizing automata. - Saulius Venskutonis, Feng Hao, Matthew Collison:
On legitimate mining of cryptocurrency in the browser - a feasibility study. - Georgios Georgiadis:
Accelerating Convolutional Neural Networks via Activation Map Compression. - Jingxiao Zheng, Rajeev Ranjan, Ching-Hui Chen, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
An Automatic System for Unconstrained Video-Based Face Recognition. - Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu:
Deep Program Reidentification: A Graph Neural Network Solution. - Swati Gupta
Temporal Aspects of Individual Fairness. - Hang Liu, H. Howie Huang:
SIMD-X: Programming and Processing of Graph Algorithms on GPUs. - Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz:
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image. - Mihailo Isakov, Michel A. Kinsy:
BRISC-V Emulator: A Standalone, Installation-Free, Browser-Based Teaching Tool. - Xuwang Yin, Vicente Ordonez, Song Feng:
Chat-crowd: A Dialog-based Platform for Visual Layout Composition. - John Mern, Kyle Julian, Rachael E. Tompa, Mykel J. Kochenderfer:
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks. - Yutaka Nagashima:
Towards Machine Learning Mathematical Induction. - Weihao Qu, Marco Gaboardi, Deepak Garg:
Relational Cost Analysis for Functional-Imperative Programs. - Fan Wang, Kris Hauser:
Stable bin packing of non-convex 3D objects with a robot manipulator. - Jacob Shermeyer, Adam Van Etten:
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery. - Hoàng-Oanh Le, Van Bang Le:
Map graphs having witnesses of large girth. - Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation. - Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar:
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. - Dimaz Ankaa Wijaya, Fengkie Junis, Dony Ariadi Suwarsono:
Smart Stamp Duty. - Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman:
Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network. - Chang-Jae Chun, Jae-Mo Kang, Il-Min Kim:
Deep Learning Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels. - Reza Salkhordeh, Mostafa Hadizadeh, Hossein Asadi:
An Efficient Hybrid I/O Caching Architecture Using Heterogeneous SSDs. - Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar:
Yaps: Python Frontend to Stan. - Marx L. Viana, Lauro Caetano, Francisco J. P. Cunha, Paulo S. C. Alencar, Carlos Lucena:
Governance in Adaptive Normative Multiagent Systems for the Internet of Smart Things: Challenges and Future Directions. - Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher, Matt Webster:
Probabilistic Model Checking of Robots Deployed in Extreme Environments. - Dimaz Ankaa Wijaya, Dony Ariadi Suwarsono:
Cryptaxforensic, When Cryptocurrency, Taxation, and Digital Forensic Collide: An Overview of Indonesian Cryptocurrency Market. - Netanel Raviv, David A. Karpuk:
Private Polynomial Computation from Lagrange Encoding. - Katherine Metcalf, Barry-John Theobald, Nicholas Apostoloff:
Learning Sharing Behaviors with Arbitrary Numbers of Agents. - Lennard Hilgendorf:
Duelling Bandits with Weak Regret in Adversarial Environments. - Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan:
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention. - Reza Khodayi-mehr, Michael M. Zavlanos:
Deep Learning for Robotic Mass Transport Cloaking. - Gidon Ernst, Sean Sedwards, Zhenya Zhang, Ichiro Hasuo:
Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input. - Xiao Zhang, Ji Wu:
Delta Embedding Learning. - Ying Zhang, Zhiqiang Zhao, Zhuo Feng:
Towards Scalable Spectral Sparsification of Directed Graphs. - Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Discriminative Motion Features Through Detection. - Aunas Manzoor, Nguyen Hoang Tran, Walid Saad, S. M. Ahsan Kazmi, Shashi Raj Pandey, Choong Seon Hong:
Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks. - Fengchao Xiong, Jun Zhou, Kun Qian, Yuntao Qian:
Spectral-spatial features for material based object tracking in hyperspectral videos. - Charles Herrmann, Richard Strong Bowen, Ramin Zabih:
Deep networks with probabilistic gates. - Mohammad Firouzi:
KF-LAX: Kronecker-factored curvature estimation for control variate optimization in reinforcement learning. - Dorien Herremans
A Functional Taxonomy of Music Generation Systems. - Tarik Tosun, Cynthia R. Sung, Colin McCloskey, Mark Yim:
Optimal Structure Synthesis for Environment Augmenting Robots. - Qiang Zeng, Golam Kayas, Emil Mohammed, Lannan Luo, Xiaojiang Du, Junghwan Rhee:
Code-less Patching for Heap Vulnerabilities Using Targeted Calling Context Encoding. - Lu Liu, Robby T. Tan, Shaodi You:
Loss Guided Activation for Action Recognition in Still Images. - Haruna Isah, Farhana H. Zulkernine:
A Scalable and Robust Framework for Data Stream Ingestion. - Dev Shah, Haruna Isah, Farhana H. Zulkernine:
Predicting the Effects of News Sentiments on the Stock Market. - Keyou You, Qizhu Chen, Pei Xie, Shiji Song:
Range-based Coordinate Alignment for Cooperative Mobile Sensor Network Localization. - Ziwei Zhang, Peng Cui, Wenwu Zhu:
Deep Learning on Graphs: A Survey. - Ruohan Gao, Kristen Grauman:
2.5D Visual Sound. - Jinyin Chen, Xuanheng Xu, Yangyang Wu, Haibin Zheng:
GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction. - Yanwei Li, Xingang Wang, Shilei Zhang, Lingxi Xie, Wenqi Wu, Hongyuan Yu, Zheng Zhu:
Identity-Enhanced Network for Facial Expression Recognition. - Yinghao Xu, Xin Dong, Yudian Li, Hao Su:
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network. - Prasad Cheema, Mehrisadat Makki Alamdari, Gareth A. Vio:
New Approaches to Inverse Structural Modification Theory using Random Projections. - Asheet Kumar, Shivam Choudhary, Vaibhav Singh Khokhar, Vikas Meena, Chiranjoy Chattopadhyay
Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval. - Inayat Ali, Sonia Sabir, Eraj Khan:
Privacy-preserving data aggregation in resource-constrained sensor nodes in Internet of Things: A review. - Jiaming Song, Pratyusha Kalluri, Aditya Grover, Shengjia Zhao, Stefano Ermon:
Learning Controllable Fair Representations. - Rushan Ziatdinov, Valerijan G. Muftejev, Rifkat I. Nabiyev, Albert R. Mardanov, Rustam I. Akhmetshin:
Techniques for modeling a high-quality B-spline curves by S-polygons in a float format. - Zi Yin, Yuanyuan Shen:
On the Dimensionality of Word Embedding. - Hyunwoo Jung, Moonsu Han, Minki Kang, Sung Ju Hwang:
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data. - Jackson Abascal, Amadou Bah, Mario Banuelos, David Uminsky, Olivia Vasquez:
A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs. - Pratik Kalshetti, Parag Rahangdale, Dinesh Jangra, Manas Bundele, Chiranjoy Chattopadhyay
Antara: An Interactive 3D Volume Rendering and Visualization Framework. - Tam N. Nguyen, Lydia Sbityakov, Samantha Scoggins:
Intelligence-based Cybersecurity Awareness Training- an Exploratory Project. - Siddhant Srivastava, Anupam Shukla, Ritu Tiwari:
Machine Translation : From Statistical to modern Deep-learning practices. - Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. - Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu:
Unsupervised Degradation Learning for Single Image Super-Resolution. - Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao:
Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. - Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud. - Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura:
Classification-Reconstruction Learning for Open-Set Recognition. - Takaaki Nishimoto, Yasuo Tabei:
LZRR: LZ77 Parsing with Right Reference. - Steven Chaplick, Thomas C. van Dijk, Myroslav Kryven, Ji-won Park, Alexander Ravsky, Alexander Wolff:
Bundled Crossings Revisited. - Alex Brandsen, Anne Dirkson, Wessel Kraaij, Wout Lamers, Suzan Verberne, Hugo De Vos, Gineke Wiggers:
Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop. - Peng Lu, Gao Huang, Yanwei Fu, Guodong Guo, Hangyu Lin:
Learning Large Euclidean Margin for Sketch-based Image Retrieval. - Yazhou Ren, Ni Wang, Mingxia Li, Zenglin Xu:
Deep Density-based Image Clustering. - Kumar Sharad, Giorgia Azzurra Marson, Hien Thi Thu Truong, Ghassan Karame:
Mix'n'Squeeze: Thwarting Adaptive Adversarial Samples Using Randomized Squeezing. - Otmane Azeroual, Gunter Saake, Mohammad Abuosba, Joachim Schöpfel
Text data mining and data quality management for research information systems in the context of open data and open science. - Weikai Chen, Xiaoguang Han, Guanbin Li, Chao Chen, Jun Xing, Yajie Zhao, Hao Li:
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions. - Marco Virgulin, Marco Castellaro, Enrico Grisan, Fabio Marcuzzi:
Analytic heuristics for a fast DSC-MRI. - Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial Autoencoders with Constant-Curvature Latent Manifolds. - Georg Gottlob, Matthias Lanzinger, Reinhard Pichler:
Semantic Width of Conjunctive Queries and Constraint Satisfaction Problems. - Alexander Span, Vahid Aref, Henning Bülow, Stephan ten Brink:
Efficient Precoding Scheme for Dual-Polarization Multi-Soliton Spectral Amplitude Modulation. - Yajie Zhang, Shifeng Pan, Lei He, Zhen-Hua Ling:
Learning latent representations for style control and transfer in end-to-end speech synthesis. - Raad Bin Tareaf, Philipp Berger, Patrick Hennig, Christoph Meinel:
Towards Automatic Personality Prediction Using Facebook Like Categories. - Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada:
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation. - Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Richard I. Hartley, Philip H. S. Torr:
Proximal Mean-field for Neural Network Quantization. - Ying Fan, Letian Chen, Yizhou Wang:
Efficient Model-Free Reinforcement Learning Using Gaussian Process. - Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. - Martin Grambow, Jonathan Hasenburg, Tobias Pfandzelter, David Bermbach:
Dockerization Impacts in Database Performance Benchmarking. - Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes. - Diego Monti, Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, Maurizio Morisio:
Semantic Trails of City Explorations: How Do We Live a City. - Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. - Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan:
Deep Reader: Information extraction from Document images via relation extraction and Natural Language. - Floris Geerts:
On the expressive power of linear algebra on graphs. - Xiaole Wen, Shuai Zhang, Haihang You:
DRONE: a Distributed gRaph cOmputiNg Engine. - Vegard Børve Sørdal, Joakim Bergli:
Quantum particle in a split box: Excitations to the ground state. - Jesse C. J. van Dam, Jasper J. Koehorst, Peter J. Schaap, María Suárez-Diez:
The Empusa code generator: bridging the gap between the intended and the actual content of RDF resources. - Ben Chugg, Anne Condon, Hooman Hashemi:
Output-Oblivious Stochastic Chemical Reaction Networks. - Artidoro Pagnoni, Kevin Liu, Shangyan Li:
Conditional Variational Autoencoder for Neural Machine Translation. - (Withdrawn) Theory of Robot Communication: II. Befriending a Robot over Time.
- Xiaoting Zhao, Raphael Louca, Diane Hu, Liangjie Hong:
Learning Item-Interaction Embeddings for User Recommendations. - (Withdrawn) Theory of Robot Communication: I. The Medium is the Communication Partner.
- Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi:
Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation. - Bartosz Bednarczyk, Emanuel Kieronski, Piotr Witkowski:
On the Complexity of Graded Modal Logics with Converse. - Xiaofei Li, Yutong Ban, Laurent Girin, Xavier Alameda-Pineda, Radu Horaud:
A cascaded multiple-speaker localization and tracking system. - Matthias Körschens, Björn Barz, Joachim Denzler:
Towards Automatic Identification of Elephants in the Wild. - Daewon Seo, Ravi Kiran Raman, Joong Bum Rhim, Vivek K. Goyal, Lav R. Varshney:
Beliefs and Expertise in Sequential Decision Making. - Pierre-Yves Gousenbourger, Estelle M. Massart, Pierre-Antoine Absil:
Blended smoothing splines on Riemannian manifolds. - Zichao Long, Yiping Lu
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network. - Nanyi Fei, Jiajun Liu, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Zero-Shot Learning with Sparse Attribute Propagation. - Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher:
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. - Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. - Apostolos I. Rikos:
Distributed Weight Balancing in Directed Topologies. - Talia B. Kimber, Sebastian Engelke, Igor V. Tetko, Eric Bruno, Guillaume Godin:
Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction. - Alexander Span, Vahid Aref, Henning Bülow, Stephan ten Brink:
Time-Bandwidth Product Perspective for Multi-Soliton Phase Modulation. - David Noever:
Data Strategies for Fleetwide Predictive Maintenance. - Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos:
seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention. - Zhizhan Zheng, Feiyun Zhang:
Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning. - Maciej Bendkowski:
Towards the average-case analysis of substitution resolution in λ-calculus. - Eszter Bokányi, Attila Soti, Gábor Vattay:
Urban scaling of football followership on Twitter. - Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck:
Semi-supervised dual graph regularized dictionary learning. - Thomas Durieux, Youssef Hamadi, Martin Monperrus:
Production-Driven Patch Generation. - Steven Jeuris:
Socratrees: Make Discussions Great Again. - Ming Dong, L. S. Grumbach:
A Hybrid Long-Term Load Forecasting Model for Distribution Feeder Peak Demand using LSTM Neural Network. - David Saltiel, Eric Benhamou
Trade Selection with Supervised Learning and OCA. - Yannis Dimopoulos, Martin Gebser, Patrick Lühne, Javier Romero, Torsten Schaub:
plasp 3: Towards Effective ASP Planning. - Merav Parter, Eylon Yogev:
Low Congestion Cycle Covers and their Applications. - Fuzail Khan:
Facial Expression Recognition using Facial Landmark Detection and Feature Extraction via Neural Networks. - Yiru Shen, Eric Muth, Adam W. Hoover:
The Impact of Quantity of Training Data on Recognition of Eating Gestures. - Sushant Kondguli, Michael C. Huang:
R3-DLA (Reduce, Reuse, Recycle): A More Efficient Approach to Decoupled Look-Ahead Architectures. - Francesco Dolce, Antonio Restivo, Christophe Reutenauer:
On generalized Lyndon words. - Aaron Defazio, Léon Bottou:
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning. - Alireza Aghamohammadi, Abbas Heydarnoori, Maliheh Izadi:
Generating Summaries for Methods of Event-Driven Programs: an Android Case Study. - Therese Biedl, Philipp Kindermann:
Finding Tutte paths in linear time. - Christoforos Somarakis, Yaser Ghaedsharaf, Nader Motee:
Risk of Collision and Detachment in Vehicle Platooning: Time-Delay-Induced Limitations and Trade-Offs. - Aaron Defazio, Léon Bottou:
Controlling Covariate Shift using Equilibrium Normalization of Weights. - Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots from Video. - (Withdrawn) Doubly Bayesian Optimization.
- Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
Deep Learning with Mixed Supervision for Brain Tumor Segmentation. - Lixing Chen, Jie Xu:
Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach. - Davin Choo, Mate Soos, Kian Ming Adam Chai, Kuldeep S. Meel:
BOSPHORUS: Bridging ANF and CNF Solvers. - Mark Giesbrecht, Joseph Haraldson, George Labahn:
Computing Nearby Non-trivial Smith Forms. - Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. - Wen-Loong Ma, Yizhar Or, Aaron D. Ames:
Dynamic Walking on Slippery Surfaces: Demonstrating Stable Bipedal Gaits with Planned Ground Slippage. - Biye Jiang, David M. Chan, Tianhao Zhang, John F. Canny:
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics. - Zachary Teed, Jia Deng:
DeepV2D: Video to Depth with Differentiable Structure from Motion. - Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich:
Deep Anomaly Detection with Outlier Exposure. - Robert R. Hoffman, Shane T. Mueller, Gary Klein, Jordan Litman:
Metrics for Explainable AI: Challenges and Prospects. - Bharat Adsul, Jugal Garg, Ruta Mehta, Milind A. Sohoni, Bernhard von Stengel:
Fast Algorithms for Rank-1 Bimatrix Games. - Sachin Kumar, Yulia Tsvetkov:
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs. - Aaron Defazio:
On the Curved Geometry of Accelerated Optimization. - Ankur Gandhe, Ariya Rastrow, Björn Hoffmeister:
Scalable language model adaptation for spoken dialogue systems. - Levan Shugliashvili, Davit Soselia, Shota Amashukeli, Irakli Koberidze:
Reproduction Report on "Learn to Pay Attention". - Jacob C. Reinhold, Blake E. Dewey, Aaron Carass, Jerry L. Prince:
Evaluating the Impact of Intensity Normalization on MR Image Synthesis. - Samuel Cris Ayo, Bonaventure Ngala, Olasunkanmi Amzat, Robin Lal Khoshi, Samarappulige Isuru Madusanka:
Information Security Risks Assessment: A Case Study. - Nicolai Pogrebnyakov:
Unsupervised domain-agnostic identification of product names in social media posts. - Shaobin Xu, David A. Smith:
Contrastive Training for Models of Information Cascades. - Bruno A. G. da Silva, Alvaro Luiz Fazenda, Fabiano C. Paixão:
Femural Head Autosegmentation for 3D Radiotherapy Planning: Preliminary Results. - Milad Salem, Shayan Taheri, Jiann-Shiun Yuan:
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features. - Milad Salem, Shayan Taheri, Jiann-Shiun Yuan:
Anomaly Generation using Generative Adversarial Networks in Host Based Intrusion Detection. - Hubert Cecotti:
Rotation Invariant Descriptors for Galaxy Morphological Classification. - Nguyen Ti Ti, Long Bao Le:
Joint Computation Offloading and Resource Allocation in Cloud Based Wireless HetNets. - Mohammed S. Hadi, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Patient-Centric Cellular Networks Optimization using Big Data Analytics. - Amirhossein Yazdani Abyaneh
Deep Neural Networks Meet CSI-Based Authentication. - Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Luca Benini, Rajesh K. Gupta:
Pible: Battery-Free Mote for Perpetual Indoor BLE Applications. - Claude Coulombe:
Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs. - David McClure, Shayne O'Brien, Deb Roy:
Context is Key: New Approaches to Neural Coherence Modeling. - Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. - Beishui Liao, Marija Slavkovik, Leendert W. N. van der Torre:
Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders. - Dung N. Tran, Trac D. Tran, Lam H. Nguyen:
Generative Adversarial Networks for Recovering Missing Spectral Information. - Imad Rida, Romain Hérault, Gilles Gasso:
An efficient supervised dictionary learning method for audio signal recognition. - Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers:
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. - Akbir Khan, Marwa Mahmoud:
Considering Race a Problem of Transfer Learning. - Guy Gur-Ari, Daniel A. Roberts, Ethan Dyer:
Gradient Descent Happens in a Tiny Subspace. - Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha:
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. - Emanuel Diamant:
Designing Artificial Cognitive Architectures: Brain Inspired or Biologically Inspired? - Edgar Bolívar, Siavash Rezazadeh, Tyler H. Summers, Robert D. Gregg:
Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle. - Inchang Choi, Orazio Gallo, Alejandro J. Troccoli, Min H. Kim, Jan Kautz:
Extreme View Synthesis. - Tzu-Yu Liu, Ajay Kannan, Adam Drake, Marvin Bertin, Nathan Wan:
Bridging the Generalization Gap: Training Robust Models on Confounded Biological Data. - Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng:
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. - ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-wise Smooth Regularization for Sequence to Sequence Learning. - Aramazd Muzhikyan, Steffi O. Muhanji, Galen Moynihan, Dakota J. Thompson, Zachary M. Berzolla, Amro M. Farid:
The 2017 ISO New England System Operational Analysis and Renewable Energy Integration Study (SOARES). - Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel:
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks. - Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko:
Strong-Weak Distribution Alignment for Adaptive Object Detection. - Mirza Galib Anwarul Husain Baig, Deepanjan Kesh, Chirag Sodani:
An Improved Scheme in the Two Query Adaptive Bitprobe Model. - Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen:
A Universal Receiver for Uplink NOMA Systems. - Xiangming Meng, Yiqun Wu, Chao Wang, Yan Chen:
Turbo-like Iterative Multi-user Receiver Design for 5G Non-orthogonal Multiple Access. - Yi Zeng, Enmeng Lu, Cunqing Huangfu:
Linking Artificial Intelligence Principles. - Harsh Nilesh Pathak, Xinxin Li, Shervin Minaee, Brooke Cowan:
Efficient Super Resolution For Large-Scale Images Using Attentional GAN. - Shervin Minaee, AmirAli Abdolrashidi:
Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN. - Jing Wang, Yufan Zheng, Yunzhe Ni, Chenren Xu, Feng Qian, Wangyang Li, Wantong Jiang, Yihua Cheng, Zhuo Cheng, Yuanjie Li, Xiufeng Xie, Yi Sun, Zhongfeng Wang:
An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails. - Christos Papachristos, Kostas Alexis:
Lévy Flight Foraging Hypothesis-based Autonomous Memoryless Search Under Sparse Rewards. - Yuxi Chi, Bing Pan:
Spatial-Temporal Subset-based Digital Image Correlation: A General Framework. - Nir Sivan, Ron Bitton, Asaf Shabtai:
Analysis of Location Data Leakage in the Internet Traffic of Android-based Mobile Devices. - Shisha Liao, Yongqing Sun, Chenqiang Gao, Pranav Shenoy K. P, Song Mu, Jun Shimamura, Atsushi Sagata:
Weakly Supervised Instance Segmentation Using Hybrid Network. - Dorien Herremans
MorpheuS: generating structured music with constrained patterns and tension. - Pedro A. Aranda-Gutiérrez, Diego R. López, Thomas Fossati:
Analysis and Consideration on Management of Encrypted Traffic. - Amir Aly, Tadahiro Taniguchi:
Towards Understanding Language through Perception in Situated Human-Robot Interaction: From Word Grounding to Grammar Induction. - Prasad Cheema, Nguyen Lu Dang Khoa, Moray Kidd, Gareth A. Vio:
A Tensor-based Structural Health Monitoring Approach for Aeroservoelastic Systems. - Tie Luo, Salil S. Kanhere, Sajal K. Das, Hwee-Pink Tan:
Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing. - Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson:
Recurrent Neural Networks for Fuzz Testing Web Browsers. - Grégoire Nieto, Salma Jiddi, Philippe Robert:
Robust Point Light Source Estimation Using Differentiable Rendering. - Sonu Gupta, Deepak Srivatsav, A. Venkata Subramanyam, Ponnurangam Kumaraguru:
Attentional Road Safety Networks. - Alexander S. Gerasimov:
A repetition-free hypersequent calculus for first-order rational Pavelka logic. - Xuan Lu, Yanbin Cao, Zhenpeng Chen, Xuanzhe Liu:
A First Look at Emoji Usage on GitHub: An Empirical Study. - Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan:
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets. - Eleni Constantinou, Alexandre Decan, Tom Mens:
Breaking the borders: an investigation of cross-ecosystem software packages. - Tie Luo, Sai G. Nagarajan:
Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT. - Thomas Olsson, Krzysztof Wnuk, Tony Gorschek:
An Empirical Study on Decision making for Quality Requirements. - Zhi-Xuan Tan, Arushi Goel, Thanh-Son Nguyen, Desmond C. Ong:
A Multimodal LSTM for Predicting Listener Empathic Responses Over Time. - Julian Renner, Sven Puchinger, Antonia Wachter-Zeh:
On a Rank-Metric Code-Based Cryptosystem with Small Key Size. - Maxime Lamothe, Weiyi Shang, Tse-Hsun Chen:
A4: Automatically Assisting Android API Migrations Using Code Examples. - Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay:
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences. - Mirela Danubianu, Stefan Gheorghe Pentiuc, Iolanda Tobolcea, Tiberiu Socaciu:
Model of a Data Mining System for Personalized Therapy of Speech Disorders. - Lei Zhang, Helen Gray, Xujiong Ye, Lisa Collins, Nigel M. Allinson:
Automatic individual pig detection and tracking in surveillance videos. - Aseem Vivek Borkar, Swaroop Hangal, Hemendra Arya, Arpita Sinha, Leena Vachhani:
Reconfigurable formations of quadrotors on Lissajous curves for surveillance applications. - Frédéric Bour:
CAMLroot: revisiting the OCaml FFI. - Chang Li, Artem Grotov, Ilya Markov, Bryan Eikema, Maarten de Rijke:
Online Learning to Rank with List-level Feedback for Image Filtering. - Radoslav Fulek, Bernd Gärtner, Andrey Kupavskii, Pavel Valtr, Uli Wagner:
The Crossing Tverberg Theorem. - Nana Wang, Li Cui, Xi Huang, Yingcong Xiang, Jing Xiao:
EasiCSDeep: A deep learning model for Cervical Spondylosis Identification using surface electromyography signal. - Zhanwei Xu, Ziyi Wu, Jianjiang Feng:
CFUN: Combining Faster R-CNN and U-net Network for Efficient Whole Heart Segmentation. - Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. - Jonathan Andersson, Håkan Ahlström, Joel Kullberg:
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks. - Chaofeng Chen, Wei Liu, Xiao Tan, Kwan-Yee K. Wong:
Semi-Supervised Learning for Face Sketch Synthesis in the Wild. - Zeeshan Haider, Kiramat Ullah, Tauseef Jamal:
DoS Attacks at Cooperative MAC. - Gang Wang:
Nanotechnology: The New Features. - Lior Madmoni, Hanan Beit-On, Hai Morgenstern, Boaz Rafaely:
Description of algorithms for Ben-Gurion University Submission to the LOCATA challenge. - Tianyi Wu, Sheng Tang, Rui Zhang, Juan Cao, Jintao Li:
Tree-structured Kronecker Convolutional Network for Semantic Segmentation. - Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. - Andrea Coifman, Péter Rohoska, Miklas S. Kristoffersen, Sven Ewan Shepstone, Zheng-Hua Tan:
Subjective Annotations for Vision-Based Attention Level Estimation. - Yunxiao Qin, Weiguo Zhang, Chenxu Zhao, Zezheng Wang, Hailin Shi, Guojun Qi, Jingping Shi, Zhen Lei:
Rethink and Redesign Meta learning. - Alessandro Barenghi, Nicholas Mainardi, Gerardo Pelosi:
Systematic Parsing of X.509: Eradicating Security Issues with a Parse Tree. - Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video. - Marco Tulio Angulo, Andrea Aparicio, Claude H. Moog:
Structural accessibility and structural observability of nonlinear networked systems. - Aruni Choudhary, Michael Kerber, Sharath Raghvendra:
Improved Topological Approximations by Digitization. - Yijie Mei, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
STEP : A Distributed Multi-threading Framework Towards Efficient Data Analytics. - Francesco Simula, Elena Pastorelli, Pier Stanislao Paolucci
Real-time cortical simulations: energy and interconnect scaling on distributed systems. - Mohammad Rahmani Fadiheh, Dominik Stoffel, Clark W. Barrett, Subhasish Mitra, Wolfgang Kunz:
Processor Hardware Security Vulnerabilities and their Detection by Unique Program Execution Checking. - Huihui Zhu, Bin Liu, Guojun Yin, Yan Lu, Weihai Li, Nenghai Yu:
Real-Time Anomaly Detection With HMOF Feature. - Timotheus Kampik, Juan Carlos Nieves, Helena Lindgren:
Implementing Argumentation-enabled Empathic Agents. - Anishi Mehta:
Time Series Analysis and Forecasting of Internet Congestion Data. - Narumol Prangnawarat, John P. McCrae, Conor Hayes:
Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia. - Jon-Lark Kim, Young-Sik Kim, Lucky Galvez, Myeong Jae Kim, Nari Lee:
McNie: A code-based public-key cryptosystem. - Mitali Bafna, Jack Murtagh, Nikhil Vyas:
Thwarting Adversarial Examples: An L0-RobustSparse Fourier Transform. - Jon-Lark Kim, Young-Sik Kim, Lucky Galvez, Myeong Jae Kim:
McNie2-Gabidulin: An improvement of McNie public key encryption using Gabidulin code. - Linhai Xie, Sen Wang, Stefano Rosa, Andrew Markham, Niki Trigoni:
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning. - Ke Liang:
Fission: A Provably Fast, Scalable, and Secure Permissionless Blockchain. - Christian Klinger, Maria Christakis, Valentin Wüstholz:
Differentially Testing Soundness and Precision of Program Analyzers. - Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent:
Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models. - Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. - Yuhua Chen, Wen Li, Xiaoran Chen, Luc Van Gool:
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach. - Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly:
Transfer Learning using Representation Learning in Massive Open Online Courses. - Mucong Ding, Kai Yang, Dit-Yan Yeung, Ting-Chuen Pong:
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses. - Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H. S. Torr:
Fast Online Object Tracking and Segmentation: A Unifying Approach. - Ezgi Çiçek, Weihao Qu, Gilles Barthe, Marco Gaboardi, Deepak Garg:
Bidirectional Type Checking for Relational Properties. - Michael Tschannen, Olivier Bachem, Mario Lucic:
Recent Advances in Autoencoder-Based Representation Learning. - Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Enhancing Selection Hyper-heuristics via Feature Transformations. - Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian, Zhe He:
Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. - Juan Manuel Fernandez Montenegro, Mahdi Maktab Dar Oghaz, Athanasios Gkelias, Georgios Tzimiropoulos, Vasileios Argyriou:
Features Extraction Based on an Origami Representation of 3D Landmarks. - Miriam Cha, Youngjune L. Gwon, H. T. Kung:
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. - Ali Rezaei
Application of the Fast Multipole Fully Coupled Poroelastic Displacement Discontinuity Method to Hydraulic Fracturing Problems. - Jasine Babu, L. Sunil Chandran, Mathew C. Francis, Veena Prabhakaran, Deepak Rajendraprasad, J. Nandini Warrier:
On Graphs with Minimal Eternal Vertex Cover Number. - Itay Benou, Tammy Riklin-Raviv:
DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography. - Mengbin Ye, Ji Liu, Lili Wang, Brian D. O. Anderson, Ming Cao:
Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks. - He Zhang, Benjamin S. Riggan, Shuowen Hu, Nathaniel J. Short, Vishal M. Patel:
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks. - Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon:
An Empirical Study of Example Forgetting during Deep Neural Network Learning. - Joshua W. Buck, Saverio Perugini:
A Graphical Simulator for Teaching Operating Systems. - Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork
Estimating Position Bias without Intrusive Interventions. - Ronnie E. S. Santos, Cleyton V. C. de Magalhães, Luiz Fernando Capretz, Jorge S. Correia Neto, Fabio Queda Bueno da Silva, Abdelrahman Saher:
Computer Games Are Serious Business and so is their Quality: Particularities of Software Testing in Game Development from the Perspective of Practitioners. - François Dross, Frédéric Havet:
On the unavoidability of oriented trees. - Tamer Mohamed Abdellatif, Luiz Fernando Capretz:
Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers: A Case Study in Software Engineering. - Pradeep Kashinath Waychal, Luiz Fernando Capretz, Sachin Narendra Pardeshi:
Analyzing Popularity of Software Testing Careers in Canada. - Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen:
An Interpretable Produce Price Forecasting System for Small and Marginal Farmers in India using Collaborative Filtering and Adaptive Nearest Neighbors. - Mohammed A. Aabed
Power of Tempospatially Unified Spectral Density for Perceptual Video Quality Assessment. - Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu, Di Yang, Pedro Martins, Hitesh Sajnani, Pierre Baldi, Cristina V. Lopes:
Towards Automating Precision Studies of Clone Detectors. - Liang Qiu, Yuanyi Ding, Lei He:
Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task. - Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C.-C. Jay Kuo:
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. - Marcel Nassar, Xin Wang, Evren Tumer:
Conditional Graph Neural Processes: A Functional Autoencoder Approach. - Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Learning to Learn from Noisy Labeled Data. - Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Yu Cheng:
A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks. - Nicholas J. A. Harvey, Christopher Liaw, Yaniv Plan, Sikander Randhawa:
Tight Analyses for Non-Smooth Stochastic Gradient Descent. - Masakazu Iwamura
Advances of Scene Text Datasets. - Chengsheng Mao, Lijuan Lu, Bin Hu:
Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model. - Stella Brach, Erwan Tanné, Blaise Bourdin, Kaushik Bhattacharya:
Phase-field study of crack nucleation and propagation in elastic - perfectly plastic bodies. - Hoon Lee, Sang Hyun Lee, Tony Q. S. Quek, Inkyu Lee:
Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications. - Vinay Kaushik, Prerana Mukherjee, Brejesh Lall:
Nrityantar: Pose oblivious Indian classical dance sequence classification system. - Chi Zhang, Yixin Zhu, Song-Chun Zhu:
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer. - Mahdi Hajiaghayi, Ehsan Vahedi:
Code Failure Prediction and Pattern Extraction using LSTM Networks. - Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach:
Improving fairness in machine learning systems: What do industry practitioners need? - Estefany A. Torres, Kohei Nakajima, Isuru S. Godage:
Information Processing Capability of Soft Continuum Arms. - Ravi Goyal, Victor De Gruttola:
Dynamic Network Prediction. - Peng Gao, Hongsheng Li, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven C. H. Hoi, Xiaogang Wang:
Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering. - Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan:
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems. - Mohammad Mohammadi, Timur Bazhirov:
Continuous evaluation of the performance of cloud infrastructure for scientific applications. - Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs with Instance Specific Scaling Policies. - Aishwarya Sivaraman, Tianyi Zhang, Guy Van den Broeck, Miryung Kim:
Active Inductive Logic Programming for Code Search. - Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia:
End-to-end Joint Entity Extraction and Negation Detection for Clinical Text. - Jinfeng Li, Shouling Ji, Tianyu Du, Bo Li, Ting Wang:
TextBugger: Generating Adversarial Text Against Real-world Applications. - Graham Neubig, Patrick Littell, Chian-Yu Chen, Jean Lee, Zirui Li, Yu-Hsiang Lin, Yuyan Zhang:
Towards a General-Purpose Linguistic Annotation Backend. - Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia:
IPOD: Intensive Point-based Object Detector for Point Cloud. - Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan:
IRLAS: Inverse Reinforcement Learning for Architecture Search. - Parminder Bhatia, Kristjan Arumae, Busra Celikkaya:
Dynamic Transfer Learning for Named Entity Recognition. - Jukka Ruohonen:
A Demand-Side Viewpoint to Software Vulnerabilities in WordPress Plugins. - Seiko P. Yamaguchi, Masaru Sakuma, Takaki Ueno, Filip Karolonek, Tadeusz Uhl, Ankit A. Ravankar, Takanori Emaru, Yukinori Kobayashi:
Aerial Robot Model based design and verification of the single and multi-agent inspection application development. - Alexander S. Gerasimov:
Comparing several calculi for first-order infinite-valued Łukasiewicz logic. - Aidin Ferdowsi, Samad Ali, Walid Saad, Narayan B. Mandayam:
Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning. - Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu:
Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. - Avantika Singh, Ashish Arora, Shreya Hasmukh Patel, Gaurav Jaswal, Aditya Nigam:
FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing. - Carlos Galindo, Fernando Hernando, Ryutaroh Matsumoto, Diego Ruano:
Entanglement-assisted quantum error-correcting codes over arbitrary finite fields. - Hong-Yu Zhou, Avital Oliver, Jianxin Wu, Yefeng Zheng:
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets. - Di Wu, Hong-Wei Yang, De-Shuang Huang:
Omni-directional Feature Learning for Person Re-identification. - Zineb Mcharfi, Bouchra El Asri, Abdelaziz Kriouile:
A Dynamic Tracing Model for Agile Software Product Lines Domain Engineering from Features to Structural Elements: An Approach Based on Dynamic Routing. - Huizhang Yang, Chengzhi Chen, Shengyao Chen, Feng Xi, Zhong Liu:
Radar Interferometry using Two Images with Different Resolutions. - (Withdrawn) Wider Channel Attention Network for Remote Sensing Image Super-resolution.
- Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei:
Computation Over NOMA: Improved Achievable Rate Through Sub-Function Superposition. - Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu:
DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems. - Nimesh Shah, Manaar Alam
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance. - Anisur Rahaman Molla, Gokarna Sharma:
Improved Dispersion of Mobile Robots on Arbitrary Graphs. - Beishui Liao, Michael Anderson, Susan Leigh Anderson:
Representation, Justification and Explanation in a Value Driven Agent: An Argumentation-Based Approach. - Longxuan Ma, Pengfei Wang, Lei Zhang:
Dynamic Feature Generation Network for Answer Selection. - Shangwen Wang, Ming Wen, Deheng Yang, Xiaoguang Mao:
Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques. - Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen
Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks. - Abhishek Tiwari, Sascha Groß, Christian Hammer:
IIFA: Modular Inter-app Intent Information Flow Analysis of Android Applications. - Diego Sempreboni, Luca Viganò:
MMM: May I Mine Your Mind? - Markus Borg, Cristofer Englund, Krzysztof Wnuk, Boris Durán, Christoffer Levandowski, Shenjian Gao, Yanwen Tan, Henrik Kaijser, Henrik Lönn, Jonas Törnqvist:
Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry. - Geert Poels, Félix García, Francisco Ruiz, Mario Piattini:
Conceptualizing Business Process Maps. - Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. - Loïc Crombez, Guilherme Dias da Fonseca, Yan Gérard:
Peeling Digital Potatoes. - Mingyue Shang, Zhenxin Fu, Hongzhi Yin, Bo Tang, Dongyan Zhao, Rui Yan:
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test? - Nesrine Ben Khalifa, Amal Benhamiche, Alain Simonian, Marc Bouillon:
Profit and Strategic Analysis for MNO-MVNO Partnership. - Ferdinand Langer, Leonard P. Mandtler, Andres Milioto, Emanuele Palazzolo, Cyrill Stachniss:
Geometrical Stem Detection from Image Data for Precision Agriculture. - Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool:
DLOW: Domain Flow for Adaptation and Generalization. - Nicolas Bousquet, Tatsuhiko Hatanaka, Takehiro Ito, Moritz Mühlenthaler:
Shortest Reconfiguration of Matchings. - Yu Han, Wankai Tang, Shi Jin, Chao-Kai Wen, Xiaoli Ma:
Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI. - Thomas Fossati, Roman Muentener, Stephan Neuhaus, Brian Trammell:
Security and Privacy Implications of Middlebox Cooperation Protocols. - Warley M. S. Alves, Thiago de Lima Prado, Antonio M. Batista, Fabiano Alan Serafim Ferrari:
The dangerous path towards your own cryptography method. - Alberto Garoffolo, Robert Viglione:
Sidechains: Decoupled Consensus Between Chains. - Jesús Bonilla, Santiago Badia:
Maximum-principle preserving space-time isogeometric analysis. - Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka:
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments. - Zaynah Dargaye, Antonella Del Pozzo, Sara Tucci Piergiovanni:
Pluralize: a Trustworthy Framework for High-Level Smart Contract-Draft. - Animesh Roy, A. P. Misra, Santo Banerjee:
Discrete model for cloud computing: Analysis of data security and data loss. - Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits. - Hyungtae Lee, Heesung Kwon, Wonkook Kim:
Discovering and Generating Hard Examples for Training a Red Tide Detector. - Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu:
When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning. - Petar D. Bojovic, Ilija Basicevic, Stanislav Ocovaj, Miroslav Popovic:
A practical approach to detection of distributed denial-of-service attacks using a hybrid detection method. - Marc Jourdan, Sebastien Blandin, Laura Wynter, Pralhad Deshpande:
A Probabilistic Model of the Bitcoin Blockchain. - Ameer Tamoor Khan, Xinwei Cao, Shuai Li:
A Survey on Blockchain Technology and Its Potential Applications in Distributed Control and Cooperative Robots. - Pedro Hecht:
PQC: Extended Triple Decomposition Problem (XTDP) Applied To GL(d, Fp)-An Evolved Framework For Canonical Non-Commutative Cryptography. - Daniel Harari:
Using Motion and Internal Supervision in Object Recognition. - Andrew Mellor, Angelica Grusovin:
Graph Comparison via the Non-backtracking Spectrum. - Golsa Ghiaasi, Jens Abraham
Measured Channel Hardening in an Indoor Multiband Scenario. - Alejandro Baldominos, David Quintana:
Comparison of Recommender Systems in an Ed-Tech Application. - Kun Tu, Jian Li, Don Towsley, Dave Braines, Liam D. Turner:
gl2vec: Learning Feature Representation Using Graphlets for Directed Networks. - Richard Mayne, Neil Phillips, Andrew Adamatzky:
Towards Experimental P-systems using multivesicular liposomes. - Alejandro Hernandez Ruiz, Juergen Gall, Francesc Moreno-Noguer:
Human Motion Prediction via Spatio-Temporal Inpainting. - Othman Sbai, Camille Couprie, Mathieu Aubry:
Vector Image Generation by Learning Parametric Layer Decomposition. - Yihan Guo, Shan Lin, Xiao Ma, Jay Bal, Chang-Tsun Li:
Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework. - Shyam Sundar Kannan, Wonse Jo
Mobile Robot-Assisted Mapping of Materials in Unknown Environments. - Ahmad S. Tarawneh, Ahmad B. A. Hassanat, Ceyhun Celik, Dmitry Chetverikov, M. Sohel Rahman, Chaman Verma:
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning. - Vahid Jamali, Arman Ahmadzadeh, Wayan Wicke, Adam Noel, Robert Schober:
Channel Modeling for Diffusive Molecular Communication - A Tutorial Review. - Kim Peter Wabersich, Melanie N. Zeilinger:
Safe exploration of nonlinear dynamical systems: A predictive safety filter for reinforcement learning. - Christopher Duffy, Gary MacGillivray, Éric Sopena:
Oriented Colourings of Graphs with Maximum Degree Three and Four. - Samit Bhanja, Abhishek Das:
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting. - Yaoqing Liu, Garegin Grigoryan:
Toward incremental FIB aggregation with quick selections (FAQS). - Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart:
A Polynomial Time Algorithm for Maximum Likelihood Estimation of Multivariate Log-concave Densities. - Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Ose, Dinh Ho Tong Minh:
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification. - Tong Liu, Franco Callegati, Walter Cerroni, Chiara Contoli, Maurizio Gabbrielli, Saverio Giallorenzo:
Constraint programming for flexible Service Function Chaining deployment. - Hazel Doughty, Walterio W. Mayol-Cuevas, Dima Damen:
The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos. - Lior Shani, Yonathan Efroni, Shie Mannor:
Revisiting Exploration-Conscious Reinforcement Learning. - Steve DiPaola, Liane Gabora, Graeme McCaig:
Informing Artificial Intelligence Generative Techniques using Cognitive Theories of Human Creativity. - Muhammad A. Hakim, Hidayet Aksu, A. Selcuk Uluagac, Kemal Akkaya:
U-PoT: A Honeypot Framework for UPnP-Based IoT Devices. - Rajshakhar Paul, Amiangshu Bosu, Kazi Zakia Sultana:
Expressions of Sentiments During Code Reviews: Male vs. Female. - Hua Sun, Syed Ali Jafar:
On the Capacity of Locally Decodable Codes. - Michelle Delcourt, Marc Heinrich, Guillem Perarnau:
The Glauber dynamics for edges colourings of trees. - Sean Andrew Chen, Andrew Escay, Christopher Haberland, Tessa Schneider, Valentina Staneva, Youngjun Choe:
Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery. - Aran Bergman, Israel Cidon, Isaac Keslassy, Noga H. Rotman, Michael Schapira, Alex Markuze, Eyal Zohar:
Pied Piper: Rethinking Internet Data Delivery. - Hamid Izadinia, Steven M. Seitz:
Scene Recomposition by Learning-based ICP. - Mahyar Najibi, Bharat Singh, Larry S. Davis:
FA-RPN: Floating Region Proposals for Face Detection. - Srishti Dhamija, Pradeep Varakantham:
TuSeRACT: Turn-Sample-Based Real-Time Traffic Signal Control. - D. Schöllhammer, T. P. Fries:
Reissner-Mindlin shell theory based on tangential differential calculus. - Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. - Hao Huang, Luowei Zhou, Wei Zhang, Chenliang Xu:
Dynamic Graph Modules for Modeling Higher-Order Interactions in Activity Recognition. - Christiane Kuhn, Martin Beck, Stefan Schiffner, Eduard A. Jorswieck, Thorsten Strufe:
On Privacy Notion in Anonymous Communication. - Yue Meng, Yongxi Lu, Aman Raj, Samuel Sunarjo, Rui Guo, Tara Javidi, Gaurav Bansal, Dinesh Bharadia:
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception. - Moritz Wolter, Angela Yao:
Fourier RNNs for Sequence Analysis and Prediction. - Garegin Grigoryan, Yaoqing Liu:
LAMP: Prompt Layer 7 Attack Mitigation with Programmable Data Planes. - Yeganeh Bahoo, Stephane Durocher, J. Mark Keil, Debajyoti Mondal, Saeed Mehrabi, Sahar Mehrpour:
Polygon Simplification by Minimizing Convex Corners. - Enes Karaaslan, Ulas Bagci, F. Necati Catbas:
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems. - Boyu Wang, Songtao Feng, Jing Yang:
When to Preempt? Age of Information Minimization under Link Capacity Constraint. - Evercita C. Eugenio, Fang Liu:
CIPHER: Construction of dIfferentially Private microdata from low-dimensional Histograms via solving linear Equations with Tikhonov Regularization. - Lu Mi, Macheng Shen, Jingzhao Zhang:
A Probe Towards Understanding GAN and VAE Models. - Peter Lillian, Richard Meyes, Tobias Meisen:
Ablation of a Robot's Brain: Neural Networks Under a Knife. - Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov:
Bayesian Sparsification of Gated Recurrent Neural Networks. - Cédric Adjih, Michel Kieffer, Claudio Greco:
Network Coding with Random Packet-Index Assignment for Data Collection Networks. - Youssef Mourchid, Benjamin Renoust, Hocine Cherifi, Mohammed El Hassouni:
Multilayer Network Model of Movie Script. - Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf:
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. - Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. - Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu:
Training Set Camouflage. - Mohamed M. Saad, Masoomeh Javidi Kishi, Shihao Jing, Sandeep Hans, Roberto Palmieri:
Processing Transactions in a Predefined Order. - Keping Bi, Qingyao Ai, W. Bruce Croft:
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval. - Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic:
Detecting rare visual relations using analogies. - Abdul Arfat Mohammed, Venkatesh Umaashankar:
Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks. - Guilherme Folego, Filipe Costa, Bruno Costa, Alan Godoy, Luiz Pita:
Pay Voice: Point of Sale Recognition for Visually Impaired People. - Lingxiang Li, Tony Q. S. Quek, Ju Ren, Howard H. Yang, Zhi Chen, Yaoxue Zhang:
An Incentive-Aware Job Offloading Control Framework for Mobile Edge Computing. - Khaled Q. Abdelfadeel, Dimitrios Zorbas, Victor Cionca, Brendan O'Flynn, Dirk Pesch:
FREE - Fine-grained Scheduling for Reliable and Energy Efficient Data Collection in LoRaWAN. - Yue Shi:
Data Security and Privacy Protection Data Security and Privacy Protection in Public Cloud. - Harald Schafer, Eder Santana, Andrew Haden, Riccardo Biasini:
A Commute in Data: The comma2k19 Dataset. - Karol Giuseppe A. Jubilo, Meryl Regine L. Algodon, Elexis Mae A. Torres, Zayda Domini P. Abraham, Ari Ide-Ektessabi, Maricor N. Soriano:
Lost Waterways: Clues from Digitized Historical Maps of Manila and Other Philippine Cities. - Al Mehdi Saadat Chowdhury, M. Shahidur Rahman, Asia Khanom, Tamanna Islam Chowdhury, Afaz Uddin:
On Stacked Denoising Autoencoder based Pre-training of ANN for Isolated Handwritten Bengali Numerals Dataset Recognition. - Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran:
Helix: Holistic Optimization for Accelerating Iterative Machine Learning. - Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Using Detailed Access Trajectories for Learning Behavior Analysis. - Jiagang Zhu, Wei Zou, Liang Xu, Yiming Hu, Zheng Zhu, Manyu Chang, Junjie Huang, Guan Huang, Dalong Du:
Action Machine: Rethinking Action Recognition in Trimmed Videos. - Maggie Yundi Li, Stanley Kok, Liling Tan:
Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation. - Liang Ma, Hang Li, Yuejun Wei:
Partial Selection for Successive Cancellation List Decoding of Polar Codes. - Ahmed Abdullah, Heinz W. Schmidt, Maria Spichkova, Huai Liu:
Monitoring Informed Testing for IoT. - Greg Bodwin, Shyamal Patel:
A Trivial Yet Optimal Solution to Vertex Fault Tolerant Spanners. - Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom:
PointPillars: Fast Encoders for Object Detection from Point Clouds. - Menglin Wang, Baisheng Lai, Zhongming Jin, Xiaojin Gong, Jianqiang Huang, Xiansheng Hua:
Deep Active Learning for Video-based Person Re-identification. - Abiy Tasissa, Rongjie Lai:
Low-rank Matrix Completion in a General Non-orthogonal Basis. - Chen Ma, Li Chen, Jun-Hai Yong:
AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection. - Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang:
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing. - Bo Zhang, Bin Chen, Jinlin Peng:
The Entropy of Artificial Intelligence and a Case Study of AlphaZero from Shannon's Perspective. - Akihiro Tamatsukuri, Tatsuji Takahashi:
Guaranteed satisficing and finite regret: Analysis of a cognitive satisficing value function. - Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng:
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. - Andrew J. Simmons, Scott Barnett, Simon Vajda, Rajesh Vasa:
Data Provenance for Sport. - Yifan Xing, Rahul Tewari, Paulo R. S. Mendonca:
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction. - Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng:
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation. - Sascha Kurz:
Which criteria qualify power indices for applications? - A comment to "The story of the poor Public Good index". - Jean-Philippe Bernardy, Stergios Chatzikyriakidis:
A corpus of precise natural textual entailment problems. - Kevin Louis de Jong, Anna Sergeevna Bosman
Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks. - Songyang Zhang, Weimin Lei, Wei Zhang, Yunchong Guan:
Shared Bottleneck Detecction Based on Trend Line Regression for Multipath Transmission. - Derek Zhang, Alex Su, Felix Xu, Jiang Chen:
ARPA Whitepaper. - Umang Bhaskar, Gunjan Kumar:
Partial Function Extension with Applications to Learning and Property Testing. - Fangneng Zhan, Shijian Lu:
ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification. - Guido Borghi:
Combining Deep and Depth: Deep Learning and Face Depth Maps for Driver Attention Monitoring. - Diego Sempreboni, Luca Viganò:
Smart Humans... WannaDie? - Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh:
Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures. - Luca Viganò, Diego Sempreboni:
Schrödinger's Man. - Fangneng Zhan, Hongyuan Zhu, Shijian Lu:
Spatial Fusion GAN for Image Synthesis. - Laurent George, Thibault Buhet, Émilie Wirbel, Gaetan Le-Gall, Xavier Perrotton:
Imitation Learning for End to End Vehicle Longitudinal Control with Forward Camera. - Hasan F. Ates, Sercan Sunetci:
Multi-hypothesis contextual modeling for semantic segmentation. - Thomas Powell:
Computational interpretations of classical reasoning: From the epsilon calculus to stateful programs. - Gerard Jacques van Wyk, Anna Sergeevna Bosman
Evolutionary Neural Architecture Search for Image Restoration. - Hossein Mani, Tobias Gehring, Christoph Pacher, Ulrik Lund Andersen:
Reconciliation of Weakly Correlated Information Sources Utilizing Generalized EXIT Chart. - Dmitry A. Lachinov, Vadim Turlapov:
The Coherent Point Drift for Clustered Point Sets. - (Withdrawn) Asymptotically Efficient Multi-Unit Auctions via Posted Prices.
- Miika Hannula, Åsa Hirvonen, Juha Kontinen, Vadim Kulikov, Jonni Virtema:
Facets of Distribution Identities in Probabilistic Team Semantics. - Bo Han:
DATELINE: Deep Plackett-Luce Model with Uncertainty Measurements. - Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski, Jan Orwat, Szymon Drgas, Mateusz Piecuch, Riccardo Belluzzo, Krzysztof Joachimiak
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection. - Romain Lebarbenchon, Ewen Camberlein, Diego Di Carlo, Clément Gaultier, Antoine Deleforge, Nancy Bertin:
Evaluation of an open-source implementation of the SRP-PHAT algorithm within the 2018 LOCATA challenge. - Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine:
Soft Actor-Critic Algorithms and Applications. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
Expected Emergence of Algorithmic Information from a Lower Bound for Stationary Prevalence. - Laurent Feuilloley
Graph classes and forbidden patterns on three vertices. - Wenhui Zhang, Tejas Mahale:
End to End Video Segmentation for Driving : Lane Detection For Autonomous Car. - Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Visual Social Relationship Recognition. - Fayçal Ait Aoudia, Jakob Hoydis:
Model-free Training of End-to-end Communication Systems. - David M. Beskow, Kathleen M. Carley:
Its All in a Name: Detecting and Labeling Bots by Their Name. - Michael Rodler, Wenting Li, Ghassan O. Karame, Lucas Davi:
Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks. - Abhik Jana, Animesh Mukherjee, Pawan Goyal:
Detecting Reliable Novel Word Senses: A Network-Centric Approach. - David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein:
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. - Juan-Luis Suárez, Salvador García, Francisco Herrera:
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software. - Daniel Omeiza, Kayode Sakariyah Adewole
EEG-based Communication with a Predictive Text Algorithm. - Maki Arai, Kei Sakaguchi, Kiyomichi Araki:
A Study on Optimal Beam Patterns for Single User Massive MIMO Transmissions. - Lisa Posch, Arnim Bleier, Fabian Flöck, Markus Strohmaier:
Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics. - Thomas B. Rolinger, Christopher D. Krieger:
Impact of Traditional Sparse Optimizations on a Migratory Thread Architecture. - Thomas B. Rolinger, Tyler A. Simon, Christopher D. Krieger:
Parallel Sparse Tensor Decomposition in Chapel. - Thomas B. Rolinger, Tyler A. Simon, Christopher D. Krieger:
An Empirical Evaluation of Allgatherv on Multi-GPU Systems. - Andrea Testa, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. - Ella M. Gale
My, and others', spiking memristors are true memristors: a response to R.S. Williams' question at the New Memory Paradigms: Memristive Phenomena and Neuromorphic Applications Faraday Discussion. - Miljan Martic, Jan Leike, Andrew Trask, Matteo Hessel, Shane Legg, Pushmeet Kohli:
Scaling shared model governance via model splitting. - Alexandros Iosifidis:
Probabilistic Class-Specific Discriminant Analysis. - Scott C. Douglas, Jiutian Yu:
Why ReLU Units Sometimes Die: Analysis of Single-Unit Error Backpropagation in Neural Networks. - Ashley S. Lee, Jo Guldi, Andras Zsom:
Measuring Similarity: Computationally Reproducing the Scholar's Interests. - Alexandros Iosifidis:
Class Mean Vector Component and Discriminant Analysis for Kernel Subspace Learning. - Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li:
Aggregate Power Flexibility in Unbalanced Distribution Systems. - Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong:
Nonparametric inference of interaction laws in systems of agents from trajectory data. - Antonio Bucciarelli, Delia Kesner, Simona Ronchi Della Rocca:
Observability = Typability + Inhabitation. - Sergio Rajsbaum, Michel Raynal:
Mastering Concurrent Computing Through Sequential Thinking: A Half-century Evolution. - C. Maria Keet, Kieren Davies, Agnieszka Lawrynowicz:
More Effective Ontology Authoring with Test-Driven Development. - Farzad Toutounchi, Ebroul Izquierdo:
Advanced Super-Resolution using Lossless Pooling Convolutional Networks. - Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn:
Fast Mitochondria Segmentation for Connectomics. - Andrzej Matuszewski, Mieczyslaw A. Klopotek:
Factorization of Dempster-Shafer Belief Functions Based on Data. - Damian Konrad Kowalczyk, Jan Larsen:
Scalable Privacy-Compliant Virality Prediction on Twitter. - Daniel Berenberg, James P. Bagrow:
Inferring the size of the causal universe: features and fusion of causal attribution networks. - Min Liang, Li Yang:
Block encryption of quantum messages. - Min Chen:
The Value of Interaction in Data Intelligence. - Kelli D. Humbird, J. Luc Peterson, Ryan G. McClarren:
Transfer learning to model inertial confinement fusion experiments. - Jiong Tao, Juyong Zhang, Bailin Deng, Zheng Fang, Yue Peng, Ying He:
Parallel and Scalable Heat Method. - Ariel Hernán Curiale, Flavio D. Colavecchia, Germán Mato:
Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI. - Naji Khosravan, Shervin Ardeshir, Rohit Puri:
On Attention Modules for Audio-Visual Synchronization. - Ghassen Jerfel, Erin Grant, Thomas L. Griffiths, Katherine A. Heller:
Online gradient-based mixtures for transfer modulation in meta-learning. - Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. - Flávio Martins, João Magalhães, Jamie Callan:
Modeling Temporal Evidence from External Collections. - Jihwan Lee, Dongchan Kim, Ruhi Sarikaya, Young-Bum Kim:
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding. - Michael Michelashvili, Sagie Benaim, Lior Wolf:
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures. - Avishek Choudhury
Humanoid Robot-Application and Influence. - Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada, Saurabh Kumar, Marc G. Bellemare:
Dopamine: A Research Framework for Deep Reinforcement Learning. - Kathy Jang, Logan Beaver, Behdad Chalaki, Ben Remer, Eugene Vinitsky, Andreas A. Malikopoulos, Alexandre M. Bayen:
Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles. - Shaowei Jiang, Jun Liao, Zichao Bian, Pengming Song, Garrett Soler, Kazunori Hoshino, Guoan Zheng:
Axially-shifted pattern illumination for macroscale turbidity suppression and virtual volumetric confocal imaging without axial scanning. - Anit Kumar Sahu, Tian Li, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith:
On the Convergence of Federated Optimization in Heterogeneous Networks. - Varun Kumar Ojha, Danielle Griego, Saskia F. Kuliga, Martin Bielik, Peter Bus, Charlotte Schaeben, Lukas Treyer, Matthias Standfest, Sven Schneider, Reinhard König, Dirk Donath, Gerhard Schmitt:
Machine learning approaches to understand the influence of urban environments on human's physiological response. - Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri:
Bias Mitigation Post-processing for Individual and Group Fairness. - Sandro M. Reia, Paulo F. Gomes, José F. Fontanari:
Individual decision making in task-oriented groups. - Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel:
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training. - Ronald P. Gruber, Ryan P. Smith:
An Experimental Information Gathering and Utilization Systems (IGUS) Robot to Demonstrate the Physics of Now. - Heng Fan, Haibin Ling:
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. - Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker:
A Parametric Top-View Representation of Complex Road Scenes. - Álvaro García-Recuero, Aneta Morawin, Gareth Tyson:
Trollslayer: Crowdsourcing and Characterization of Abusive Birds in Twitter. - Alexander Fritzler, Varvara Logacheva, Maksim Kretov:
Few-shot classification in Named Entity Recognition Task. - Joshua Dennis Booth, Gregory Bolet:
Javelin: A Scalable Implementation for Sparse Incomplete LU Factorization. - Weiming Xiang, Hoang-Dung Tran, Taylor T. Johnson:
Specification-Guided Safety Verification for Feedforward Neural Networks. - Sam McCandlish, Jared Kaplan, Dario Amodei, OpenAI Dota Team:
An Empirical Model of Large-Batch Training. - Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero:
Inverse Cooking: Recipe Generation from Food Images. - Qingyu Liu, Haibo Zeng, Minghua Chen:
Network Utility Maximization under Maximum Delay Constraints and Throughput Requirements. - Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor:
Bootstrapping Conversational Agents With Weak Supervision. - Sixue Liu, Robert E. Tarjan:
Simple Concurrent Labeling Algorithms for Connected Components. - Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. - Xenofon Foukas, Mahesh K. Marina, Kimon P. Kontovasilis:
Iris: Deep Reinforcement Learning Driven Shared Spectrum Access Architecture for Indoor Neutral-Host Small Cells. - Jack Klys, Jake Snell, Richard S. Zemel:
Learning Latent Subspaces in Variational Autoencoders. - Chide Groenouwe, Jesse Nortier, John-Jules Ch. Meyer:
Truly Visual Polymorphic Algebraic Data Structures through Maramafication. - Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Clayton T. Morrison
Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts. - Xiyang Dai, Bharat Singh, Joe Yue-Hei Ng, Larry S. Davis:
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition. - Amin Jaber, Jiji Zhang, Elias Bareinboim:
Causal Identification under Markov Equivalence. - H. Brendan McMahan, Galen Andrew:
A General Approach to Adding Differential Privacy to Iterative Training Procedures. - Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset For Geometric Deep Learning. - Haiyong Chen, Yue Pang, Qidi Hu, Kun Liu:
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network. - Isha Garg, Priyadarshini Panda, Kaushik Roy:
A Low Effort Approach to Structured CNN Design Using PCA. - Yunfan Tian, Xiang Zhang:
A Survey of Privacy Infrastructures and Their Vulnerabilities. - Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. - Liantao Wang, Qingwu Li, Jianfeng Lu:
Weakly supervised segment annotation via expectation kernel density estimation. - Linh Nguyen, Tsukasa Ishigaki:
Domain-to-Domain Translation Model for Recommender System. - Michael McCabe:
Mapper Comparison with Wasserstein Metrics. - Yin Tat Lee, Zhao Song, Santosh S. Vempala:
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave Densities. - Hock Hung Chieng, Noorhaniza Wahid, Pauline Ong, Sai Raj Kishore Perla:
Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning. - Neri Merhav:
Error Exponents of Typical Random Codes for the Colored Gaussian Channel. - Guanghua Pan, Jun Wang, Rendong Ying, Peilin Liu:
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN. - Nasrin Akhter, Mohamed Othman, Ranesh Kumar Naha:
Evaluation of Energy-efficient VM Consolidation for Cloud Based Data Center - Revisited. - Zhichao Yin, Trevor Darrell, Fisher Yu:
Hierarchical Discrete Distribution Decomposition for Match Density Estimation. - Damien Legay, Alexandre Decan, Tom Mens:
On the impact of pull request decisions on future contributions. - Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Vivek Kanhangad:
PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features. - Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji:
Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia. - Vincenzo Musco, Martin Monperrus, Philippe Preux:
A Large-Scale Study of Call Graph-based Impact Prediction using Mutation Testing. - Haitao Wu, Fen Zhou, Yaojun Chen, Ran Zhang:
On Virtual Network Embedding: Paths and Cycles. - Haitao Wu, Fen Zhou, Zuqing Zhu, Yaojun Chen:
How the Network Topology, Traffic Distribution, and Routing Scheme Impact on the Spectrum Usage in Elastic Optical Networks. - Mohammed Harun Babu R, R. Vinayakumar, Soman K. P:
A short review on Applications of Deep learning for Cyber security. - Arun Jambulapati, Kirankumar Shiragur, Aaron Sidford:
Efficient Structured Matrix Recovery and Nearly-Linear Time Algorithms for Solving Inverse Symmetric M-Matrices. - Daniel Sánchez, Weiwei Wan, Kensuke Harada:
Arm Manipulation Planning of Tethered Tools with the Help of a Tool Balancer. - Joel Lamy-Poirier, Anqi Xu:
Hinted Networks. - Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling:
Residual Policy Learning. - Patrick Spettel, Hans-Georg Beyer:
Analysis of the (μ/μI, λ)-σ-Self-Adaptation Evolution Strategy with Repair by Projection Applied to a Conically Constrained Problem. - Dongrui Wu, Xianfeng Tan:
Multi-Tasking Evolutionary Algorithm (MTEA) for Single-Objective Continuous Optimization. - Longze Li, Aleksandar Vakanski:
Generative adversarial networks for generation and classification of physical rehabilitation movement episodes. - Nian Liu, Junwei Han, Ming-Hsuan Yang:
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection. - Xueguang Lyu, Christopher Amato:
On Improving Decentralized Hysteretic Deep Reinforcement Learning. - Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe:
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study. - Imad Eddine Touahria:
An incomplete and biased survey on selected resource management for distributed applications as basis for interoperability of medical devices. - Yang Liu, Li Shi, Junwei Zhang, Thomas G. Robertazzi:
Layer Based Partition for Matrix Multiplication on Heterogeneous Processor Platforms. - Alex Bigelow, Carolina Nobre, Miriah D. Meyer, Alexander Lex:
Origraph: Interactive Network Wrangling. - Christopher Hampson:
Decidable fragments of first-order modal logics with counting quantifiers over varying domains. - Antonio Molina Lovett, Jeffrey O. Shallit:
Optimal Regular Expressions for Permutations. - Ali Tamimi, Alba Perez Gracia:
Enumeration, structural and dimensional synthesis of robotic hands: theory and implementation. - Oren Barkan, David Tsiris:
Deep Synthesizer Parameter Estimation. - Solomiia Fedushko, Natalia Shakhovska, Yuriy Syerov:
Verifying the Medical Specialty from User Profile of Online Community for Health-Related Advices. - Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig:
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery. - Hang Ma, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, Sven Koenig:
Searching with Consistent Prioritization for Multi-Agent Path Finding. - Rui Liu, Tianyi Wu, Barzan Mozafari:
A Bandit Approach to Maximum Inner Product Search. - Paritosh Parmar, Brendan Tran Morris:
Action Quality Assessment Across Multiple Actions. - Emmanuel Abbe, Colin Sandon:
Provable limitations of deep learning. - Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney:
Trust Region Based Adversarial Attack on Neural Networks. - Justin Meza, Jing Li, Onur Mutlu:
Evaluating Row Buffer Locality in Future Non-Volatile Main Memories. - Yinglan Ma, Hongyu Xiong
Efficient Super Resolution Using Binarized Neural Network. - Zhun Fan, Wenji Li, Zhaojun Wang, Yutong Yuan, Fuzan Sun, Zhi Yang, Jie Ruan, Zhaocheng Li, Erik D. Goodman:
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems. - Shuai Yang, Jiaying Liu, Wenjing Wang
TET-GAN: Text Effects Transfer via Stylization and Destylization. - Aravind Ravi
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition. - Li Li, Hirokazu Kameoka, Shoji Makino:
Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier. - Artidoro Pagnoni, Stefan Gramatovici, Samuel Liu:
PAC Learning Guarantees Under Covariate Shift. - Ehsan Abbasnejad, Qi Wu, Iman Abbasnejad, Javen Shi, Anton van den Hengel:
An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. - Ehsan Abbasnejad, Qi Wu, Javen Shi, Anton van den Hengel:
What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions. - (Withdrawn) Unified Graph based Multi-Cue Feature Fusion for Robust Visual Tracking.
- Asanka G. Perera, Yee Wei Law, Javaan Singh Chahl:
Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selection. - Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen:
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. - Yaoqing Yang, Matteo Interlandi, Pulkit Grover
Coded Elastic Computing. - Yaochen Hu, Di Niu, Jianming Yang:
Stochastic Distributed Optimization for Machine Learning from Decentralized Features. - Daniela Massiceti, Puneet K. Dokania, N. Siddharth, Philip H. S. Torr:
Visual Dialogue without Vision or Dialogue. - Xiaolong Jiang, Peizhao Li, Xiantong Zhen, Xianbin Cao:
Model-free Tracking with Deep Appearance and Motion Features Integration. - Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha:
Classifier and Exemplar Synthesis for Zero-Shot Learning. - Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng:
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge. - Ian Pratt-Hartmann, Wieslaw Szwast, Lidia Tendera:
Quine's Fluted Fragment Revisited. - Bhaskar Gautam, Annappa Basava, Abhishek Singh, Amit Agrawal:
"When and Where?": Behavior Dominant Location Forecasting with Micro-blog Streams. - Emir Muñoz
Embedding Cardinality Constraints in Neural Link Predictors. - Pierre Hosteins, Rosario Scatamacchia:
The Stochastic Critical Node Problem over Trees. - Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín:
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. - Miltiadis Allamanis:
The Adverse Effects of Code Duplication in Machine Learning Models of Code. - Zheng Shi, Theodoros A. Tsiftsis, Weiqiang Tan, Guanghua Yang, Shaodan Ma, Mohamed-Slim Alouini:
Effective Capacity for Renewal Service Processes with Applications to HARQ Systems. - Víctor Sánchez-Anguix, Rithin Chalumuri, Reyhan Aydogan, Vicente Julián:
A near Pareto optimal approach to student-supervisor allocation with two sided preferences and workload balance. - Tatsuji Kawai:
Presenting de Groot duality of stably compact spaces. - Henning Petzka, Cristian Sminchisescu:
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks. - Theodore H. Moskovitz, Ashok Litwin-Kumar, L. F. Abbott:
Feedback alignment in deep convolutional networks. - Mikael Vejdemo-Johansson, Sayan Mukherjee:
Multiple testing with persistent homology. - Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. - Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Jin Tae Kwak, Nasir M. Rajpoot:
XY Network for Nuclear Segmentation in Multi-Tissue Histology Images. - Emna Baccour, Aiman Erbad, Amr Mohamed, Kashif Bilal, Mohsen Guizani:
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks. - Cheng Zeng, Hongming Zhang
A Logarithmic Barrier Method For Proximal Policy Optimization. - Xiaogang Cheng, Bin Yang, Kaige Tan, Erik Isaksson, Liren Li, Anders Hedman, Thomas Olofsson, Haibo Li:
Non-invasive measuring method of skin temperature based on skin sensitivity index and deep learning. - Tshilidzi Marwala:
The limit of artificial intelligence: Can machines be rational? - Ahmed Helmy:
Interest-Aware Delivery for Mobile Social Networks: A TRACE-driven Approach. - Julian M. Bass, Andy Haxby:
Tailoring Product Ownership in Large-Scale Agile. - Homanga Bharadhwaj, Nisheeth Srivastava:
New tab page recommendations cause a strong suppression of exploratory web browsing behaviors. - Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Deep Clustering Based on a Mixture of Autoencoders. - Krishanu Sarker, Mohamed Masoud, Saeid Belkasim, Shihao Ji:
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data. - Roohollah Amiri, Hani Mehrpouyan:
Multi-Stream LDPC Decoder on GPU of Mobile Devices. - Mohammad Noormohammadpour, Cauligi S. Raghavendra, Srikanth Kandula, Sriram Rao:
Fast and Efficient Bulk Multicasting over Dedicated Inter-Datacenter Networks. - Xinghua Yao, Xiaojin Li, Qiang Ye, Yan Huang, Qiang Cheng, Guoqiang Zhang:
A Robust Deep Learning Approach for Automatic Seizure Detection. - Suguman Bansal, Swarat Chaudhuri, Moshe Y. Vardi:
Comparator automata in quantitative verification. - Xiang Li, Shihao Ji:
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks. - Lili Pan, Shen Cheng, Jian Liu, Yazhou Ren, Zenglin Xu:
Latent Dirichlet Allocation in Generative Adversarial Networks. - Yunzhe Hao, Xuhui Huang, Meng Dong, Bo Xu:
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule. - Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu:
Learning Incremental Triplet Margin for Person Re-identification. - Maria Brbic, Ivica Kopriva:
𝓁0-Motivated Low-Rank Sparse Subspace Clustering. - Mingde Zhao
Online Decisioning Meta-Heuristic Framework for Large Scale Black-Box Optimization. - Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach:
Grounded Video Description. - Hao Zhu, Aihua Zheng, Huaibo Huang, Ran He:
High-Resolution Talking Face Generation via Mutual Information Approximation. - Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Learning Student Networks via Feature Embedding. - Vinh-Loc Dao, Cécile Bothorel, Philippe Lenca:
Community structure: A comparative evaluation of community detection methods. - Yassine Benajiba, Jin Sun, Yong Zhang, Longquan Jiang, Zhiliang Weng, Or Biran:
Siamese Networks for Semantic Pattern Similarity. - Tianyu Li, Yukun Ma, Jiu Xu, Björn Stenger, Chen Liu, Yu Hirate:
Deep Heterogeneous Autoencoders for Collaborative Filtering. - Weijie Chen, Yuan Zhang, Di Xie, Shiliang Pu:
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks. - Zhijing Xu, Juan Wang, Ying Zhang, Xiangjian He:
Voiceprint recognition of Parkinson patients based on deep learning. - Jiafan Yu, Yang Weng, Ram Rajagopal:
PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time Varying System in Distribution Grids. - Chiranjib Sur:
Feature Fusion Effects of Tensor Product Representation on (De)Compositional Network for Caption Generation for Images. - Zhiwei Wang, Yi Lin, Kwang-Ting Cheng, Xin Yang:
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization. - Kevin Eykholt, Atul Prakash:
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering. - Cássio Fraga Dantas, Rémi Gribonval:
Stable safe screening and structured dictionaries for faster 𝓁1 regularization. - Frank Gurski, Carolin Rehs:
Comparing Linear Width Parameters for Directed Graphs. - (Withdrawn) Attending Category Disentangled Global Context for Image Classification.
- Zheng Wang
Representation Learning for Spatial Graphs. - Florian Colombo, Johanni Brea, Wulfram Gerstner:
Learning to Generate Music with BachProp. - Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu:
Robust Graph Learning from Noisy Data. - Cheng Lin, Changjian Li, Yasutaka Furukawa, Wenping Wang:
Floorplan Priors for Joint Camera Pose and Room Layout Estimation. - Ikram Boukhedimi
Line-of-Sight and Pilot Contamination Effects on Correlated Multi-cell Massive MIMO Systems. - Avijit Mitra, Khalid Ashraf:
Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients. - Lars D. Mosgaard, David Pelegrin-Garcia, Thomas Bo Elmedyb, Michael J. Pihl, Pejman Mowlaee:
Circular Statistics-based low complexity DOA estimation for hearing aid application. - Mitsuo Yoshida, Fujio Toriumi:
Analysis of Political Party Twitter Accounts' Retweeters During Japan's 2017 Election. - Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
Hateminers : Detecting Hate speech against Women. - Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu:
Conditional BERT Contextual Augmentation. - Rakshith Shetty, Bernt Schiele, Mario Fritz:
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation. - Xiaoda Jiang, Hancheng Lu, Chang Wen Chen, Feng Wu:
Receiver-driven Video Multicast over NOMA Systems in Heterogeneous Environments. - Sjoerd Dirksen, Shahar Mendelson
Robust one-bit compressed sensing with partial circulant matrices. - Feiliang Ren, Yining Hou, Yan Li, Lingfeng Pan, Yi Zhang, Xiaobo Liang, Yongkang Liu, Yu Guo, Rongsheng Zhao, Ruicheng Ming, Huiming Wu:
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph. - Enis Kocan, Bojan Domazetovic, Milica Pejanovic-Djurisic:
Range Extension in IEEE 802.11ah Systems Through Relaying. - Christophe Kervazo, Jérôme Bobin, Cécile Chenot:
Heuristics for Efficient Sparse Blind Source Separation. - Milan Stute, David Kreitschmann, Matthias Hollick:
Demo: Linux Goes Apple Picking: Cross-Platform Ad hoc Communication with Apple Wireless Direct Link. - Vincent Aravantinos:
Traceability of Deep Neural Networks. - Merlin Göttlinger, Lutz Schröder:
Trichotomic Argumentation Representation. - Alameen Najjar, Shun'ichi Kaneko, Yoshikazu Miyanaga:
Crime Mapping from Satellite Imagery via Deep Learning. - Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann:
Fully-deformable 3D image registration in two seconds. - Mathieu Cunche, Daniel Le Métayer, Victor Morel:
A Generic Information and Consent Framework for the IoT. - Michal Rolínek, Dominik Zietlow, Georg Martius:
Variational Autoencoders Pursue PCA Directions (by Accident). - Carlos F. Daganzo:
Minuet: A method to solve Sudoku puzzles by hand. - Trenton Schulz
Animation Techniques in Human-Robot Interaction User Studies: a Systematic Literature Review. - Ander Galisteo, Diego Juara, Domenico Giustiniano:
Research in Visible Light Communication Systems with OpenVLC1.3. - Vikram Krishnamurthy, Buddhika Nettasinghe:
Information Diffusion in Social Networks: Friendship Paradox based Models and Statistical Inference. - Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Carlos Lucena, Donald D. Cowan:
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning. - Kees A. Schouhamer Immink, Kui Cai:
Properties and constructions of constrained codes for DNA-based data storage. - Warit Sirichotedumrong, Tatsuya Chuman, Hitoshi Kiya:
Grayscale-Based Image Encryption Considering Color Sub-sampling Operation for Encryption-then-Compression Systems. - Canhui Zhong, Jianping Yao, Jie Xu:
Secure UAV Communication with Cooperative Jamming and Trajectory Control. - François Menet, Paul Berthier, José M. Fernandez, Michel Gagnon:
Spartan Networks: Self-Feature-Squeezing Neural Networks for increased robustness in adversarial settings. - Haijun Wang, Haitao Zhao, Jiao Zhang, Dongtang Ma, Jiaxun Li, Jibo Wei:
Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective. - Di Wang, Adam D. Smith, Jinhui Xu:
Differentially Private Empirical Risk Minimization in Non-interactive Local Model via Polynomial of Inner Product Approximation. - Peter Bürgisser:
The Complexity of Factors of Multivariate Polynomials. - Nesrine Grati, Achraf Ben-Hamadou, Mohamed Hammami:
Discriminant Patch Representation for RGB-D Face Recognition Using Convolutional Neural Networks. - Michael Rapp
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. - Yoon Kim, Sam Wiseman, Alexander M. Rush:
A Tutorial on Deep Latent Variable Models of Natural Language. - Huiqiang Liao, Guihua Wen, Yang Hu, Changjun Wang:
Convolutional herbal prescription building method from multi-scale facial features. - Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas:
Bayesian Optimization in AlphaGo. - Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. - Lukas Hewing, Kim Peter Wabersich, Melanie N. Zeilinger:
Recursively Feasible Stochastic Model Predictive Control using Indirect Feedback. - Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. - Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert:
Fully Convolutional Speech Recognition. - Alexander Krimm, Thorben Casper, Sebastian Schöps, Herbert De Gersem, Ludovic Chamoin:
Proper Generalized Decomposition of Parameterized Electrothermal Problems Discretized by the Finite Integration Technique. - Alexey A. Gritsenko, Alex D'Amour, James Atwood, Yoni Halpern, D. Sculley:
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity. - Chris James, Lisa Colledge, Wim J. N. Meester, Norman Azoulay, Andrew M. Plume:
CiteScore metrics: Creating journal metrics from the Scopus citation index. - Giorgio Giannone, Boris Chidlovskii:
Learning Common Representation from RGB and Depth Images. - Stefan Constantin, Jan Niehues
Multi-task learning to improve natural language understanding. - Neelakantan Nurani Krishnan, Eric Torkildson, Narayan B. Mandayam, Dipankar Raychaudhuri, Enrico-Henrik Rantala, Klaus Doppler:
Optimizing Distributed MIMO Wi-Fi Networks with Deep Reinforcement Learning. - Lukas Holzbaur, Ragnar Freij-Hollanti, Antonia Wachter-Zeh:
Cyclic Codes with Locality and Availability. - Li Shi, Junwei Zhang, Yang Liu, Thomas G. Robertazzi:
Coflow Scheduling in Data Centers: Routing and Bandwidth Allocation. - Alessio Zappone, Luca Sanguinetti, Mérouane Debbah:
User Association and Load Balancing for Massive MIMO through Deep Learning. - Paz Carmi, Matthew J. Katz, Pat Morin:
Stabbing Pairwise Intersecting Disks by Four Points. - Bho Matthiesen
Deep Learning for Optimal Energy-Efficient Power Control in Wireless Interference Networks. - Kathleen M. Lewis, Guha Balakrishnan, Natalia S. Rost, John V. Guttag, Adrian V. Dalca:
Fast Learning-based Registration of Sparse Clinical Images. - Matthias Christandl, Péter Vrana, Jeroen Zuiddam:
Barriers for fast matrix multiplication from irreversibility. - Saber Malekzadeh, Mohammad Hossein Gholizadeh, Seyed Naser Razavi:
Persian Vowel recognition with MFCC and ANN on PCVC speech dataset. - Jieli Zhou, Yuntao Zhou, Yi Xu:
Analogy Search Engine: Finding Analogies in Cross-Domain Research Papers. - Ji Hou
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. - Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer:
Multi Instance Learning For Unbalanced Data. - Francisco Javier Uribe, Cecília F. Morais, Jonathan M. Palma:
Protocol for Energy-Efficiency using Robust Control on WSN. - Yuze Chi, Young-kyu Choi, Jason Cong, Jie Wang:
Rapid Cycle-Accurate Simulator for High-Level Synthesis. - Shahla Rezazadeh Azar, Ali Ahmadi, Saber Malekzadeh, Maryam Samami:
Instrument-Independent Dastgah Recognition of Iranian Classical Music Using AzarNet. - Joel Z. Leibo, Julien Pérolat, Edward Hughes, Steven Wheelwright, Adam H. Marblestone, Edgar A. Duéñez-Guzmán, Peter Sunehag, Iain Dunning, Thore Graepel:
Malthusian Reinforcement Learning. - Dat Tien Nguyen, Shikhar Sharma, Hannes Schulz, Layla El Asri:
From FiLM to Video: Multi-turn Question Answering with Multi-modal Context. - Fatemeh Nargesian, Ken Q. Pu, Erkang Zhu, Bahar Ghadiri Bashardoost, Renée J. Miller:
Optimizing Organizations for Navigating Data Lakes. - Cenk Gündogan, Peter Kietzmann, Thomas C. Schmidt, Matthias Wählisch:
ICNLoWPAN - Named-Data Networking for Low Power IoT Networks. - Maël Le Treust, Matthieu R. Bloch:
State Leakage and Coordination of Actions: Core of the Receiver's Knowledge. - Saber Malekzadeh:
Fuzzy Controller of Reward of Reinforcement Learning For Handwritten Digit Recognition. - Saber Malekzadeh:
A Fast Combination of AES Encryption and LZ4 Compression Algorithms. - Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. - Jigar Doshi, Saikat Basu, Guan Pang:
From Satellite Imagery to Disaster Insights. - Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li:
On the Continuity of Rotation Representations in Neural Networks. - Stanislaw Wozniak, Angeliki Pantazi, Evangelos Eleftheriou:
Deep Networks Incorporating Spiking Neural Dynamics. - Yusuke Sekikawa, Kosuke Hara, Hideo Saito:
EventNet: Asynchronous recursive event processing. - (Withdrawn) DSNet for Real-Time Driving Scene Semantic Segmentation.
- Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Yingtian Liu, Hesheng Wang, Yun-Hui Liu:
3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition. - Alona Golts, Daniel Freedman, Michael Elad:
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss. - Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan:
OCTID: Optical Coherence Tomography Image Database. - Chankyu Choi, Youngmin Yoon, Junsu Lee, Junseok Kim:
Simultaneous Recognition of Horizontal and Vertical Text in Natural Images. - Alexey Kruglov:
Channel-wise pruning of neural networks with tapering resource constraint. - Jie Cai, Zibo Meng, Ahmed-Shehab Khan, Zhiyuan Li, James O'Reilly, Yan Tong:
Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition. - Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. - Ari Azarafrooz, John Brock:
Fuzzy Hashing as Perturbation-Consistent Adversarial Kernel Embedding. - Nathanaël Fijalkow, Pawel Gawrychowski, Pierre Ohlmann:
The complexity of mean payoff games using universal graphs. - Ferdinando Cicalese, Eduardo Sany Laber:
Information theoretical clustering is hard to approximate. - Emiliano Lorini:
Rethinking Epistemic Logic with Belief Bases. - Mohammad Aliannejadi, Morgan Harvey, Luca Costa, Matthew Pointon, Fabio Crestani:
Understanding Mobile Search Task Relevance and User Behaviour in Context. - Yingquan Wu, Eyal En Gad:
Scalable Block-Wise Product BCH Codes. - Glen Chou, Dmitry Berenson, Necmiye Ozay:
Learning Constraints from Demonstrations. - Christos Liaskos, Shuai Nie, Ageliki Tsioliaridou, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
A Novel Communication Paradigm for High Capacity and Security via Programmable Indoor Wireless Environments in Next Generation Wireless Systems. - Yosr Ghozzi, Nesrine Baklouti, Hani Hagras, Mounir Ben Ayed, Adel M. Alimi:
Interval type-2 Beta Fuzzy Near set based approach to content based image retrieval. - Hanqing Guo, Nan Zhang, Wenjun Shi, Saeed AlQarni, Shaoen Wu:
Real Time 3D Indoor Human Image Capturing Based on FMCW Radar. - Avinash Kumar Singh:
On effective human robot interaction based on recognition and association. - Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold, Vasudevan Lakshminarayanan:
Ophthalmic Diagnosis and Deep Learning - A Survey. - Liyue Shen, Katie S. Shpanskaya, Edward H. Lee, Emily McKenna, Maryam Maleki, Quin Lu
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain. - Omar Mohammed, Gérard Bailly, Damien Pellier:
Style Transfer and Extraction for the Handwritten Letters Using Deep Learning. - Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig:
Reading Industrial Inspection Sheets by Inferring Visual Relations. - Mrinal Haloi:
Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis. - Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. - Shaoxiong Ji, Shirui Pan, Guodong Long, Xue Li, Jing Jiang, Zi Huang:
Learning Private Neural Language Modeling with Attentive Aggregation. - Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - An Empirical Odyssey. - Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang:
Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. - Mohammad Roohitavaf, Murat Demirbas, Sandeep S. Kulkarni:
CausalSpartanX: Causal Consistency and Non-Blocking Read-Only Transactions. - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-Level Sequence GAN for Group Activity Recognition. - Yichao Zhou, Wei Chu, Sam Young, Xin Chen:
BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine. - Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Reinforcement Learning for Online Information Seeking. - Ashkan Ebadi
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. - Kenta Moriwaki, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Takeshi Naemura:
Hybrid Loss for Learning Single-Image-based HDR Reconstruction. - Yu-Cheng Lin, Chun-Ming Lai, Shyhtsun Felix Wu, George A. Barnett:
Globalness Detection in Online Social Network. - Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta:
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. - Muratcan Cicek, Jinrong Xie, Qiaosong Wang, Robinson Piramuthu:
Mobile Head Tracking for eCommerce and Beyond. - Yunze Gao, Yingying Chen, Jinqiao Wang, Zhen Lei, Xiaoyu Zhang, Hanqing Lu:
Recurrent Calibration Network for Irregular Text Recognition. - Mandana Hamidi-Haines, Zhongang Qi, Alan Fern, Fuxin Li, Prasad Tadepalli:
Interactive Naming for Explaining Deep Neural Networks: A Formative Study. - Seongjin Choi, Jiwon Kim, Hwasoo Yeo:
Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction. - Bangtian Liu, Kazem Cheshmi, Saeed Soori, Maryam Mehri Dehnavi:
MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations. - Dhruv Ramani, Samarjit Karmakar, Anirban Panda, Asad Ahmed, Pratham Tangri:
Autoencoder Based Architecture For Fast & Real Time Audio Style Transfer. - Jiechao Ma, Xiang Li, Hongwei Li, Bjoern H. Menze, Sen Liang, Rongguo Zhang, Wei-Shi Zheng:
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. - Runjin Chen, Hao Chen, Ge Huang, Jie Ren
Explaining Neural Networks Semantically and Quantitatively. - Hideaki Hata, Emad Shihab, Graham Neubig:
Learning to Generate Corrective Patches using Neural Machine Translation. - Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Toward Multimodal Model-Agnostic Meta-Learning. - Kwan-Young Kim, Se Young Chun:
SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network. - Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger:
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. - Junwei Zhang, Yang Liu, Shi Li, Thomas G. Robertazzi:
Optimizing Data Intensive Flows for Networks on Chips. - Xavier Bost, Georges Linarès:
D{é}tection de locuteurs dans les s{é}ries TV. - Farah Cherfaoui, Valentin Emiya
Frank-Wolfe Algorithm for the Exact Sparse Problem. - Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Adway Mitra:
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE. - Xavier Bost, Georges Linarès, Serigne Gueye:
Audiovisual speaker diarization of TV series. - Xavier Bost, Grégory Senay, Marc El-Bèze, Renato De Mori:
Multiple topic identification in human/human conversations. - Siddharth Dawar
High-utility itemset mining for subadditive monotone utility functions. - Xavier Bost, Georges Linarès:
Constrained speaker diarization of TV series based on visual patterns. - Sebastian Caldas, Jakub Konecný, H. Brendan McMahan, Ameet Talwalkar:
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements. - Anshu Shukla, Swarup Kumar Mohalik, Ramamurthy Badrinath:
Smart Contracts for Multiagent Plan Execution in Untrusted Cyber-physical Systems. - Shiyu Zhang, Shuling Dai:
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators. - Felipe Gómez-Cuba, Andrea J. Goldsmith:
Sparse mmWave OFDM Channel Estimation Using Compressed Sensing in OFDM Systems. - Andrea Asperti:
Sparsity in Variational Autoencoders. - Yin Sun, Benjamin Cyr:
Sampling for Data Freshness Optimization: Non-linear Age Functions. - Rasmus Berg Palm
Attend, Copy, Parse - End-to-end information extraction from documents. - Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis:
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks. - Bho Matthiesen, Eduard A. Jorswieck:
Efficient Global Optimal Resource Allocation in Non-Orthogonal Interference Networks. - Tania Panayiotou, Giannis Savva, Mohammad Behnam Shariati, Ioannis Tomkos, Georgios Ellinas:
Machine Learning for QoT Estimation of Unseen Optical Network States. - Ding-Jie Chen, Hwann-Tzong Chen, Long-Wen Chang:
SwipeCut: Interactive Segmentation with Diversified Seed Proposals. - Niklas Carlsson, Derek L. Eager:
Worst-case Bounds and Optimized Cache on Mth Request Cache Insertion Policies under Elastic Conditions. - Kui Liu, Anil Koyuncu, Dongsun Kim, Tegawendé F. Bissyandé:
AVATAR : Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations. - Magda Schwarzl, Ludovic Autin, Graham Johnson, Thomas Torsney-Weir, Torsten Möller:
cellPACKexplorer: Interactive Model Building for Volumetric Data of Complex Cells. - Mathias Almquist, Viktor Almquist, Vengatanathan Krishnamoorthi, Niklas Carlsson, Derek L. Eager:
The Prefetch Aggressiveness Tradeoff in 360° Video Streaming. - Kui Liu, Anil Koyuncu, Tegawendé F. Bissyandé, Dongsun Kim, Jacques Klein, Yves Le Traon:
You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems. - Fredrik Dahlqvist, Alexander Kurz:
The positivication of coalgebraic logics. - Peng Peng, Liang Pang, Yufeng Yuan, Chao Gao:
Continual Match Based Training in Pommerman: Technical Report. - Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo:
Partial Verification as a Substitute for Money. - Mihai Cristian Pîrvu, Alexandra Anghel, Ciprian Borodescu, Alexandru Constantin:
Predicting user intent from search queries using both CNNs and RNNs. - Marie Lejeune, Julien Leroy, Michel Rigo:
Computing the k-binomial complexity of the Thue-Morse word. - Artem Polyvyanyy, Andreas Solti, Matthias Weidlich, Claudio Di Ciccio, Jan Mendling:
Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems. - Falko Koetter, Matthias Blohm, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner:
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies. - Audrey Lebrasseur, Josiane Lettre, François Routhier, Philippe S. Archambault, Alexandre Campeau-Lecours:
Assistive robotic device: evaluation of intelligent algorithms. - Michal Sustr, Vojtech Kovarík, Viliam Lisý:
Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. - Daniele D'Angeli, Emanuele Rodaro, Jan Philipp Wächter
Orbit Expandability of Automaton Semigroups and Groups. - Alberto Lumbreras, Julien Velcin, Marie Guégan, Bertrand Jouve:
Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models. - (Withdrawn) Improving Face Detection Performance with 3D-Rendered Synthetic Data.
- Cheng Zhan, Licheng Zhang, Zhenzhen Zhong, Sher Didi-Ooi, Youzuo Lin, Yunxi Zhang, Shujiao Huang, Chang-Chun Wang:
Deep Learning Approach in Automatic Iceberg - Ship Detection with SAR Remote Sensing Data. - Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung:
Handcrafted and Deep Trackers: A Review of Recent Object Tracking Approaches. - Ahmed Roushdy, Abolfazl Seyed Motahari, Mohammed Nafie, Deniz Gündüz:
Cache-Aided Radio Access Networks with Partial Connectivity. - Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar:
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples. - Michael Clerx, Martin Robinson, Ben Lambert, Chon Lok Lei, Sanmitra Ghosh, Gary R. Mirams, David J. Gavaghan:
Probabilistic Inference on Noisy Time Series (PINTS). - Xinwei Yue, Yuanwei Liu, Shaoli Kang, Arumugam Nallanathan, Zhiguo Ding:
Exploiting Full/Half-Duplex User Relaying in NOMA Systems. - Mohammad Motamedi, Felix Portillo, Daniel D. Fong
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms. - Zhao Chen, Xiaodong Wang:
Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach. - Toshihiko Matsuura, Kuniaki Saito, Tatsuya Harada:
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation. - Xinwei Yue, Yuanwei Liu, Shaoli Kang, Arumugam Nallanathan:
Performance Analysis of NOMA with Fixed Gain Relaying over Nakagami-m Fading Channels. - Guangyuan Pan, Liping Fu, Lalita Thakali, Matthew Muresan, Ming Yu:
An Improved Deep Belief Network Model for Road Safety Analyses. - Anil Koyuncu, Tegawendé F. Bissyandé, Dongsun Kim, Jacques Klein, Martin Monperrus, Yves Le Traon:
Impact of Tool Support in Patch Construction. - Marcelo Bertalmío, Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi:
A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations. - Daisuke Yamaguchi, Kimio Kuramitsu:
CPEG: A Typed Tree Construction from Parsing Expression Grammars with Regex-Like Captures. - Mor Joseph-Rivlin, Alon Zvirin, Ron Kimmel:
Mo-Net: Flavor the Moments in Learning to Classify Shapes. - Daniel Lundén, David Broman, Fredrik Ronquist, Lawrence M. Murray:
Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs. - Federico Tomassetti, Marco Torchiano, Mauro Antonaci, Paolo Arvati, Maurizio Morisio:
A Software Ecosystem Reshaped by a Paradigm Shift: the CSI-Piemonte Case. - Renjie Chen, Craig Gotsman:
A Scalable Heuristic for Fastest-Path Computation on Very Large Road Maps. - Avantika Singh, Gaurav Jaswal, Aditya Nigam:
FDSNet: Finger dorsal image spoof detection network using light field camera. - Thomas Carr, Maria Chli, George Vogiatzis:
Domain Adaptation for Reinforcement Learning on the Atari. - Julian Krebs, Hervé Delingette, Boris Mailhé, Nicholas Ayache, Tommaso Mansi:
Learning a Probabilistic Model for Diffeomorphic Registration. - William W. Streilein, Brad Dillman:
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop 2019. - Hangyu Zhu, Yaochu Jin:
Multi-objective Evolutionary Federated Learning. - Elias Jääsaari, Ville Hyvönen, Teemu Roos:
Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search. - Ran Cheng, Uday S. Goteti, Michael C. Hamilton:
Superconducting Neuromorphic Computing Using Quantum Phase-Slip Junctions. - Franz J. Király, Bilal A. Mateen, Raphael Sonabend
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature. - Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek:
Entropy-Constrained Training of Deep Neural Networks. - Lukasz Romaszko, Christopher K. I. Williams, John M. Winn:
Learning Direct Optimization for Scene Understanding. - Esteban Pavese, Ezekiel O. Soremekun, Nikolas Havrikov, Lars Grunske, Andreas Zeller:
Inputs from Hell: Generating Uncommon Inputs from Common Samples. - Chen Luo, Michael J. Carey:
LSM-based Storage Techniques: A Survey. - Danielle Thierry-Mieg, Jean Thierry-Mieg:
XOR_p A maximally intertwined p-classes problem used as a benchmark with built-in truth for neural networks gradient descent optimization. - Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause:
Information-Directed Exploration for Deep Reinforcement Learning. - Joo-Kyung Kim, Young-Bum Kim:
Supervised Domain Enablement Attention for Personalized Domain Classification. - Wenqian Dong, Luanzheng Guo, Dong Li:
A Preliminary Study of Neural Network-based Approximation for HPC Applications. - Sorin Mihai Grigorescu:
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision. - Clayton Sanford, Cyrus Cousins, Eli Upfal:
Uniform Convergence Bounds for Codec Selection. - Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
FML: Face Model Learning from Videos. - Li Chen:
Deep Transfer Learning for Static Malware Classification. - Sanjay Krishnan, Adam Dziedzic, Aaron J. Elmore:
DeepLens: Towards a Visual Data Management System. - Haozhen Dong, Liang Gao, Xinyu Li, Haorang Zhong, Bing Zeng:
Differential Evolution with Nearest & Better Option for Function Optimization. - Mohammad Hossein Samavatian, Anys Bacha, Li Zhou, Radu Teodorescu:
RNNFast: An Accelerator for Recurrent Neural Networks Using Domain Wall Memory. - Yiheng Zhu, Yichen Yao, Zili Wu, Yujie Chen, Guozheng Li, Haoyuan Hu, Yinghui Xu:
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming. - Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domenec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja J. Mataric, Eduard Fosch-Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesús Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca:
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. - Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund:
Large-Scale Optical Neural Networks based on Photoelectric Multiplication. - Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal:
Towards Deep Conversational Recommendations. - Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert:
wav2letter++: The Fastest Open-source Speech Recognition System. - Diana Borsa, André Barreto, John Quan, Daniel J. Mankowitz, Rémi Munos, Hado van Hasselt, David Silver, Tom Schaul:
Universal Successor Features Approximators. - Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung, Doina Precup:
Clustering-Oriented Representation Learning with Attractive-Repulsive Loss. - Matús Sulír:
Integrating Runtime Values with Source Code to Facilitate Program Comprehension. - Syed Eqbal Alam, Robert Shorten, Fabian Wirth, Jia Yuan Yu:
Distributed Algorithms for Internet-of-Things enabled Prosumer Markets: A Control Theoretic Perspective. - Alexander B. Veretennikov:
Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes with Multi-Component Keys. - Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi:
Deep Variational Sufficient Dimensionality Reduction. - Georgios Minadakis, Katrin S. Lohan:
Using Pupil Diameter to Measure Cognitive Load. - Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish, Yuze Lou:
Demonstration of a Multiresolution Schema Mapping System. - Jun Yu, Xiao-Jun Wu, Josef Kittler:
Discriminative Supervised Hashing for Cross-Modal similarity Search. - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds. - Anusha Nagabandi, Chelsea Finn, Sergey Levine:
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL. - Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi:
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification. - Yuliang Li, Jianguo Wang, Benjamin S. Pullman, Nuno Bandeira, Yannis Papakonstantinou:
Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees. - Ren Li, Jared S. Johansen, Hamad Ahmed, Thomas V. Ilyevsky, Ronnie B. Wilbur, Hari M. Bharadwaj, Jeffrey Mark Siskind:
Training on the test set? An analysis of Spampinato et al. [31]. - Thomas Hollis, Antoine Viscardi, Seung Eun Yi:
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series. - Ao Li, Fan Long:
Detecting Standard Violation Errors in Smart Contracts. - Holly Grimm:
Training on Art Composition Attributes to Influence CycleGAN Art Generation. - Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C.-C. Jay Kuo:
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation. - Biswa P. S. Sahoo, Chung-Wei Weng, Hung-Yu Wei:
SDN - Architectural Enabler for Reliable Communication over Millimeter-Wave 5G Networks. - Avishek Choudhury, Christopher M. Greene:
Prognosticating Autism Spectrum Disorder Using Artificial Neural Network: Levenberg-Marquardt Algorithm. - Vincent Cohen-Addad:
Approximation Schemes for Capacitated Clustering in Doubling Metrics. - Sung-En Chiu, Nancy Ronquillo, Tara Javidi:
Active Learning and CSI acquisition for mmWave Initial Alignment. - Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Modeling Processor Idle Times in MPSoC Platforms to Enable Integrated DPM, DVFS, and Task Scheduling Subject to a Hard Deadline. - Alexandre Gondran
Optimality Clue for Graph Coloring Problem. - Yong Liu, Jian Li, Weiping Wang:
Max-Diversity Distributed Learning: Theory and Algorithms. - Xiaoming Li, Ming Liu, Jieru Zhu, Wangmeng Zuo, Meng Wang, Guosheng Hu, Lei Zhang:
Learning Symmetry Consistent Deep CNNs for Face Completion. - Yuan Zong, Wenming Zheng, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao:
Cross-Database Micro-Expression Recognition: A Benchmark. - Xinyang Feng
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis. - Alexandra Johnson, Michael McCourt:
Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization. - Raphael Tang, Gefei Yang, Hong Wei, Yajie Mao, Ferhan Türe, Jimmy Lin:
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks. - Suman Kalyan Maity, Anshit E. Chaudhary, Animesh Mukherjee:
"Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards. - Yilun Chen, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan:
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks. - Dongwon Park, Yonghyeok Seo, Se Young Chun:
Rotation Ensemble Module for Detecting Rotation-Invariant Features. - Chuangye Zhang, Yan Niu, Tieru Wu, Ximing Li:
Light Weight Color Image Warping with Inter-Channel Information. - Zeyuan Wang, Josiah Poon, Shiding Sun, Simon K. Poon:
CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients. - Ferran Alet, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning in abstract graph networks for combinatorial generalization. - Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh:
Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. - Tianzhu Xiang, Gui-Song Xia, Liangpei Zhang:
Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives. - Poorva Kulkarni, Varsha Deshpande, Latika Sarna, Sumedha Shenolikar, Supriya Kelkar:
Fault Diagnosis for Distributed Systems using Accuracy Technique. - Mahesh Lakshminarasimhan, Catherine Olschanowsky:
AdaptMemBench: Application-Specific MemorySubsystem Benchmarking. - Bo Yang, Zhiyong Li, Wenbin Liu:
Non-cooperative game approach for task offloading in edge clouds. - Latika Sarna, Sumedha Shenolikar, Poorva Kulkarni, Varsha Deshpande, Supriya Kelkar:
Decentralized Periodic Approach for Adaptive Fault Diagnosis in Distributed Systems. - Matthew Stephenson, Jochen Renz, Xiaoyu Ge:
The Computational Complexity of Angry Birds. - Zheng Chen, Yong Zhang, Yue Shang, Xiaohua Hu:
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews. - Fandong Meng, Jinchao Zhang:
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation. - Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos:
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities. - Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan:
Fast Botnet Detection From Streaming Logs Using Online Lanczos Method. - Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method. - Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Two-stage Combinatorial Optimization Problems under Risk. - Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy:
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Mapping excellence in national research systems: the case of Italy. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Alessandro Caprasecca:
Allocative efficiency in public research funding: can bibliometrics help? - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Assessing technical and cost efficiency of research activities: A case study of the Italian university system. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Research collaboration and productivity: is there correlation? - Giovanni Abramo, Ciriaco Andrea D'Angelo, Alessandro Caprasecca:
Gender differences in research productivity: a bibliometric analysis of the Italian academic system. - Fengqian Guo, Hancheng Lu, Daren Zhu, Hao Wu:
Interference-aware User Grouping Strategy in NOMA Systems with QoS Constraints. - Panos Vassiliadis, Patrick Marcel, Stefano Rizzi:
Beyond Roll-Up's and Drill-Down's: An Intentional Analytics Model to Reinvent OLAP (long-version). - Rashidedin Jahandideh, Alireza Tavakoli Targhi, Maryam Tahmasbi:
Physical Attribute Prediction Using Deep Residual Neural Networks. - Idan Amit, John Matherly, William Hewlett, Zhi Xu, Yinnon Meshi, Yigal Weinberger:
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets. - Artaches Ambartsoumian, Fred Popowich:
Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers. - Onurcan Iscan, Ronald Böhnke, Wen Xu:
Probabilistically Shaped Multi-Level Coding with Polar Codes for Fading Channels. - Simone V. Spiegler, Christoph Heinecke, Stefan Wagner:
Leadership Gap in Agile Teams: How Teams and Scrum Masters Mature. - Qiuchen Zhu, Tran Hiep Dinh, Van Truong Hoang, Manh Duong Phung, Quang Phuc Ha:
Crack Detection Using Enhanced Thresholding on UAV based Collected Images. - Yimin Lin, Zhaoxiang Liu, Jianfeng Huang, Chaopeng Wang, Guoguang Du, Jinqiang Bai, Shiguo Lian, Bill Huang:
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry. - Yinglong Wang, Shuaicheng Liu, Bing Zeng:
Removing rain streaks by a linear model. - Alexander Goncharenko, Andrey Denisov, Sergey Alyamkin, Evgeny Terentev:
Fast Adjustable Threshold For Uniform Neural Network Quantization. - Van Truong Hoang, Manh Duong Phung, Tran Hiep Dinh, Quang Phuc Ha:
Angle-Encoded Swarm Optimization for UAV Formation Path Planning. - Ansu Man Singh, Manh Duong Phung, Quang Phuc Ha:
Modelling and Fast Terminal Sliding Mode Control for Mirror-based Pointing Systems. - Zhiguo Ding, Robert Schober, Pingzhi Fan, H. Vincent Poor:
Simple Semi-Grant-Free Transmission Strategies Assisted by Non-Orthogonal Multiple Access. - Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu:
Hierarchical Macro Strategy Model for MOBA Game AI. - Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar:
AnFlo: Detecting Anomalous Sensitive Information Flows in Android Apps. - Mirko Polato, Fabio Aiolli:
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning. - Hui Han Chin, Paul Pu Liang:
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering. - Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. - Emmanuel Soubies, Ferréol Soulez
Pocket Guide to Solve Inverse Problems with GlobalBioIm. - Alex Catarineu, Philipp Claßen, Konark Modi, Josep M. Pujol:
Preventing Attacks on Anonymous Data Collection. - Zaineb T. Al-Azez, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient IoT Virtualization Framework with Peer to Peer Networking and Processing. - Alexander Kampmann, Andreas Zeller:
Carving Parameterized Unit Tests. - Mikhail A. Povolotskiy, Daniil V. Tropin:
Dynamic Programming Approach to Template-based OCR. - Antonio Longo, Chiara Ravazzi, Fabrizio Dabbene, Giuseppe Carlo Calafiore:
Learning Political DNA in the Italian Senate. - Temitayo A. Olugbade, Joseph W. Newbold, Rose M. G. Johnson, Erica Volta, Paolo Alborno, Radoslaw Niewiadomski, Max Dillon, Gualtiero Volpe, Nadia Bianchi-Berthouze:
Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration. - Isa Inuwa-Dutse, Bello Shehu Bello, Ioannis Korkontzelos:
Lexical analysis of automated accounts on Twitter. - Pei Cao, Jiong Tang:
A Reinforcement Learning Hyper-Heuristic in Multi-Objective Single Point Search with Application to Structural Fault Identification. - Yali Amit:
Biologically plausible deep learning. - Mieczyslaw A. Klopotek:
Rigid Body Structure and Motion From Two-Frame Point-Correspondences Under Perspective Projection. - Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. - (Withdrawn) A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction.
- Yesmina Jaâfra, Jean Luc Laurent, Aline Deruyver, Mohamed Saber Naceur:
A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search. - Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. - Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu:
Explanatory Graphs for CNNs. - Julian Steil, Inken Hagestedt, Michael Xuelin Huang, Andreas Bulling:
Privacy-Aware Eye Tracking Using Differential Privacy. - Kord Eickmeyer, Jan van den Heuvel, Ken-ichi Kawarabayashi, Stephan Kreutzer, Patrice Ossona de Mendez, Michal Pilipczuk, Daniel A. Quiroz, Roman Rabinovich, Sebastian Siebertz:
Model-Checking on Ordered Structures. - Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, Yaser Sheikh:
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields. - Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan:
Training Deep Neural Networks with 8-bit Floating Point Numbers. - Pasquale De Meo, Mark Levene, Fabrizio Messina, Alessandro Provetti:
Computing a Score of Navigability in Large Graphs. - Alexander Kott:
Intelligent Autonomous Agents are Key to Cyber Defense of the Future Army Networks. - Lanny Z. N. Yuan, Huaibing Jian, Peng Liu, Pengxin Zhu, ShanYang Fu:
AME Blockchain: An Architecture Design for Closed-Loop Fluid Economy Token System. - Guilhem Gamard:
On the entropy of coverable subshifts. - Filippos Gouidis, Paschalis Panteleris, Iason Oikonomidis, Antonis A. Argyros:
Accurate Hand Keypoint Localization on Mobile Devices. - Sergey Victorovich Belim, Nadezda F. Bogachenko, Y. S. Rakitskiy, A. N. Kabanov:
Using the decision support algorithms combining different security policies. - Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete
Progressive Data Science: Potential and Challenges. - Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu:
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation. - Gabriel Marzinotto, Jérémy Auguste, Frédéric Béchet, Géraldine Damnati, Alexis Nasr:
Semantic Frame Parsing for Information Extraction : the CALOR corpus. - Jarek Duda, Adam Szulc:
Credibility evaluation of income data with hierarchical correlation reconstruction. - Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. - Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet:
FrameNet automatic analysis : a study on a French corpus of encyclopedic texts. - Maral Dadvar, Kai Eckert:
Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study. - Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray:
Spatial-Spectral Regularized Local Scaling Cut for Dimensionality Reduction in Hyperspectral Image Classification. - Simone Bianco, Davide Mazzini, Paolo Napoletano, Raimondo Schettini:
Multitask Painting Categorization by Deep Multibranch Neural Network. - Michael Baddeley, Usman Raza, George Oikonomou, Reza Nejabati, Mahesh Sooriyabandara, Dimitra Simeonidou:
Utilizing Synchronous Flooding for Reliable and Scalable SDN in Low-Power Wireless Networks. - Christopher M. Kellett, Steven R. Weller, Timm Faulwasser, Lars Grüne, Willi Semmler:
Feedback and Optimal Control in Climate Economics. - Jovonni L. Pharr:
Exposing A Customizable, Decentralized Cryptoeconomy as a Data Type. - Chen-Feng Liu, Mehdi Bennis, Mérouane Debbah, H. Vincent Poor:
Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing. - Jacques Carette, Russell O'Connor:
Theory Presentation Combinators. - Mona Noori Hosseini, Bengt Lennartson, Christoforos N. Hadjicostis:
Incremental Observer Reduction Applied to Opacity Verification and Synthesis. - Martin Gerlach
A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguistics. - Fangwen Tu, Shuzhi Sam Ge, Chang Chieh Hang:
Shallow Cue Guided Deep Visual Tracking via Mixed Models. - Franziska Lippoldt, Marius Erdt:
Window detection in aerial texture images of the Berlin 3D CityGML Model. - Tomasz Kociumaka, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Efficient Representation and Counting of Antipower Factors in Words. - Mario Amrehn, Firas Mualla, Elli Angelopoulou, Stefan Steidl, Andreas K. Maier:
Balanced Random Forest Classifier in WEKA. - Hsin-Po Wang
Log-logarithmic Time Pruned Polar Coding on Binary Erasure Channels. - Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge. - Hsin-Po Wang
Polar-like Codes and Asymptotic Tradeoff among Block Length, Code Rate, and Error Probability. - Frank Nielsen, Ke Sun:
On The Chain Rule Optimal Transport Distance. - Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Multi-Shot Sensitivity-Encoded Diffusion MRI using Model-Based Deep Learning (MODL-MUSSELS). - Atsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks. - Yan Chen, Jimmy S. J. Ren, Xuanye Cheng, Keyuan Qian, Jinwei Gu:
Very Power Efficient Neural Time-of-Flight. - Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo D. Salton, John D. Kelleher:
Generating Diverse and Meaningful Captions. - Peter Jung, Richard Kueng, Dustin G. Mixon:
Derandomizing compressed sensing with combinatorial design. - James Owen Weatherall, Cailin O'Connor:
Endogenous Epistemic Factionalization: A Network Epistemology Approach. - Melih Bastopcu, Sennur Ulukus:
Minimizing Age of Information with Soft Updates. - Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Magnetic Resonance Fingerprinting using Recurrent Neural Networks. - Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis:
Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion. - Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
RankGAN: A Maximum Margin Ranking GAN for Generating Faces. - Wenyu Zhang, Zhenjiang Zhang, Han-Chieh Chao, Mohsen Guizani:
Toward Intelligent Network Optimization in Wireless Networking: An Auto-learning Framework. - Myounggyu Won, Sayan Sahu, Kyung-Joon Park:
DeepWiTraffic: Low Cost WiFi-Based Traffic Monitoring System Using Deep Learning. - Gayane Kazhoyan, Michael Beetz:
Specializing Underdetermined Action Descriptions Through Plan Projection. - Gayane Kazhoyan, Arthur Niedzwiecki, Michael Beetz:
Towards Plan Transformations for Real-World Pick and Place Tasks. - Yong Shi, Huadong Wang, Xin Shen, Lingfeng Niu:
A Novel Large-scale Ordinal Regression Model. - Sohaib Ahmad, Benjamin Fuller:
Unconstrained Iris Segmentation using Convolutional Neural Networks. - Yutong Ban, Xavier Alameda-Pineda, Christine Evers, Radu Horaud:
Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM. - Scott McCloskey, Michael Albright:
Detecting GAN-generated Imagery using Color Cues. - Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar:
D3D: Distilled 3D Networks for Video Action Recognition. - Richard John Preen, Larry Bull, Andrew Adamatzky:
Towards an Evolvable Cancer Treatment Simulator. - Houda Kriouile, Bouchra El Asri:
A Rich-Variant Architecture for a User-Aware multi-tenant SaaS approach. - Babak Loni, Martha A. Larson, Alan Hanjalic:
Factorization Machines for Data with Implicit Feedback. - Jacob Whitehill:
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth. - Pablo Borja, T. C. Wesselink, Jacquelien M. A. Scherpen:
Saturated control without velocity measurements for planar robots with flexible joints. - Lovro Subelj, Ludo Waltman, Vincent A. Traag, Nees Jan van Eck:
Intermediacy of publications. - Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Yuting Hu, Zhen Wang, Motaz Alfarraj, Ghassan AlRegib, Asjad Amin, Mohamed A. Deriche, Suhail Al-Dharrab, Haibin Di:
A comparative study of texture attributes for characterizing subsurface structures in seismic volumes. - Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang:
Statistical learning of geometric characteristics of wireless networks. - Alexis Linard, Colin de la Higuera, Frits W. Vaandrager:
Learning Unions of k-Testable Languages. - Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh:
Analog Signal Processing Using Stochastic Magnets. - Dimitri Racordon:
Coroutines with Higher Order Functions. - Steve McGuire, Christoffer Heckman, Daniel Szafir, Simon Julier, Nisar R. Ahmed
Extrinisic Calibration of a Camera-Arm System Through Rotation Identification. - Mohamed A. Abd-Elmagid, Nikolaos Pappas, Harpreet S. Dhillon:
On the Role of Age-of-Information in Internet of Things. - Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Höfle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jón Atli Benediktsson:
Multisource and Multitemporal Data Fusion in Remote Sensing. - Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan:
TD-Regularized Actor-Critic Methods. - Daniil Ryabko:
Finite-time optimality of Bayesian predictors. - Takuya Tanaka, Ryosuke Kasahara, Daishiro Kobayashi:
Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing. - Mi Sun Park, Xiaofan Xu, Cormac Brick:
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks. - Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Ruxin Zhao, Seyedvalyallah Ayobi, Peng Hu, Isma Masood:
Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences. - Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright:
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. - Josif Grabocka, Lars Schmidt-Thieme:
NeuralWarp: Time-Series Similarity with Warping Networks. - Saleh Ali Alomari
A Novel Adaptive Caching Mechanism for Video on Demand System over Wireless Mobile Network. - Sridhar Adepu, Ferdinand Brasser, Luis Garcia, Michael Rodler, Lucas Davi, Ahmad-Reza Sadeghi, Saman A. Zonouz:
Control Behavior Integrity for Distributed Cyber-Physical Systems. - Dan P. Guralnik, Daniel E. Koditschek:
Iterated Belief Revision Under Resource Constraints: Logic as Geometry. - Ali Dorri, Ambrose Hill, Salil S. Kanhere, Raja Jurdak, Fengji Luo, Zhao Yang Dong:
Peer-to-Peer EnergyTrade: A Distributed Private Energy Trading Platform. - Olga Vechtomova, Hareesh Bahuleyan, Amirpasha Ghabussi, Vineet John:
Generating lyrics with variational autoencoder and multi-modal artist embeddings. - Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. - Supun Abeysinghe, Isura Manchanayake, Chamod Samarajeewa, Prabod Rathnayaka, Malaka J. Walpola, Rashmika Nawaratne, Tharindu R. Bandaragoda, Damminda Alahakoon:
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics. - Ye Wang, Yueru Chen, Jongmoo Choi, C.-C. Jay Kuo:
Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks. - Bodong Chen, Haiyi Zhu:
Towards Value-Sensitive Learning Analytics Design. - (Withdrawn) Safety and Trustworthiness of Deep Neural Networks: A Survey.
- Yinglong Wang, Shuaicheng Liu, Chen Chen
Rain Removal By Image Quasi-Sparsity Priors. - Alex Zihao Zhu, Wenxin Liu, Ziyun Wang, Vijay Kumar, Kostas Daniilidis:
Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion. - Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing via Dialogue. - Faizal M. F. Hafiz, Akshya Swain, Eduardo M. A. M. Mendes, Nitish D. Patel:
Structure Selection of Polynomial NARX Models using Two Dimensional (2D) Particle Swarms. - Vignesh Prasad, Brojeshwar Bhowmick:
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints. - Kookjin Lee, Kevin Carlberg:
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. - Xin Li, Shuai Zhang
DAC: Data-free Automatic Acceleration of Convolutional Networks. - Nasrin Akhter, Mohamed Othman, Ranesh Kumar Naha:
Energy-aware virtual machine selection method for cloud data center resource allocation. - Sergey Andreev, Vitaly Petrov, Kaibin Huang, Maria A. Lema, Mischa Dohler:
Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities. - Zhang Rong, Dong Shandong, Nie Xin, Xiao Shiguang:
Feedforward Neural Network for Time Series Anomaly Detection. - Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron:
Kappa Learning: A New Method for Measuring Similarity Between Educational Items Using Performance Data. - Shi Luo, Xiongfei Li, Rui Zhu, Xiaoli Zhang:
SFA: Small Faces Attention Face Detector. - Shachi H. Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman:
Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog. - Denys Katerenchuk:
A Survey of Hierarchy Identification in Social Networks. - Iain R. Learmonth, Karsten Loesing:
Towards Modernising Data Collection and Archive for the Tor Network. - Hamid Reza Mahdiani, Mahdi Nazm Bojnordi, Sied Mehdi Fakhraie:
Soft Realization: a Bio-inspired Implementation Paradigm. - Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun:
Graph Neural Networks: A Review of Methods and Applications. - Étienne André:
A benchmark library for parametric timed model checking. - Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu:
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects. - Antonio Fernández Anta, Chryssis Georgiou, Nicolas C. Nicolaou:
Atomic Appends: Selling Cars and Coordinating Armies with Multiple Distributed Ledgers. - Andreas Danzer, Fabian Gies, Klaus Dietmayer:
Multi-Object Tracking with Interacting Vehicles and Road Map Information. - Fabian Gies, Andreas Danzer, Klaus Dietmayer:
Environment Perception Framework Fusing Multi-Object Tracking, Dynamic Occupancy Grid Maps and Digital Maps. - Mario Gleirscher, Anne Nyokabi:
Safety Practice and its Practitioners: Exploring a Diverse Profession. - Maurizio Rea, Domenico Giustiniano, Guillermo Bielsa, Danilo De Donno, Joerg Widmer:
Statistical Location and Rotation-Aware Beam Search for Millimeter-Wave Networks. - Patrick Schlachter, Yiwen Liao, Bin Yang:
One-Class Feature Learning Using Intra-Class Splitting. - Xiaofei Li, Laurent Girin, Sharon Gannot, Radu Horaud:
Multichannel Online Dereverberation based on Spectral Magnitude Inverse Filtering. - Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Doerr, Kasper Green Larsen, Kurt Mehlhorn:
The Query Complexity of a Permutation-Based Variant of Mastermind. - Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar:
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU. - Sergey Victorovich Belim, Svetlana Yuryevna Belim, Nadezda F. Bogachenko, A. N. Kabanov:
User Authorization in a System with a Role-Based Access Control on the Basis of the Analytic Hierarchy Process. - Paul Muntean:
Automated CFI Policy Assessment with Reckon. - Ali Dorri, Fengji Luo, Salil S. Kanhere, Raja Jurdak, Zhao Yang Dong:
A Secure and Efficient Direct Power Load Control Framework Based on Blockchain. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Fabio Pugini:
The measurement of italian universities' research productivity by a non parametric-bibliometric methodology. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
A new bibliometric approach to assess the scientific specialization of regions. - Giovanni Abramo, Tindaro Cicero, Ciriaco Andrea D'Angelo:
Individual research performance: a proposal for comparing apples to oranges. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Gianluca Murgia:
The collaboration behaviors of scientists in Italy: a field level analysis. - Olivier Devillers, Philippe Duchon, Marc Glisse, Xavier Goaoc:
On Order Types of Random Point Sets. - Ciriaco Andrea D'Angelo, Cristiano Giuffrida, Giovanni Abramo:
A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments. - Ilenia Tinnirello, Pierluigi Gallo, Szymon Szott, Katarzyna Kosek-Szott:
Impact of LTE's Periodic Interference on Heterogeneous Wi-Fi Transmissions. - Leslie Casas, Nassir Navab, Vasileios Belagiannis:
Adversarial Signal Denoising with encoder-decoder networks. - Uwe Köcher
Efficient and scalable data structures and algorithms for goal-oriented adaptivity of space-time FEM codes. - Mustafa Cemil Coskun, Giuseppe Durisi, Thomas Jerkovits, Gianluigi Liva, William E. Ryan, Brian Stein, Fabian Steiner:
Efficient Error-Correcting Codes in the Short Blocklength Regime. - Juan J. Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Ángel González Ballester, Marius George Linguraru:
Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review. - Malte Bonart, Philipp Schaer:
Intertemporal Connections Between Query Suggestions and Search Engine Results for Politics Related Queries. - Zhonghua Han, Quan Zhang, Haibo Shi, Yuanwei Qi, Liangliang Sun:
Research on Limited Buffer Scheduling Problems in Flexible Flow Shops with Setup Times. - Ana Sara Costa, Salvatore Corrente, Salvatore Greco, José Rui Figueira, José Borbinha:
A robust hierarchical nominal classification method based on similarity and dissimilarity. - Prashan Madumal, Ronal Rajneshwar Singh, Joshua Newn, Frank Vetere
Interaction Design for Explainable AI: Workshop Proceedings. - Nicolas Dupin, El-Ghazali Talbi:
Matheuristics to optimize maintenance scheduling and refueling of nuclear power plants. - Ziqing Guo, Hua Zhang, Xin Zhang, Zhengping Jin, Qiaoyan Wen:
Secure and Efficiently Searchable IoT Communication Data Management Model: Using Blockchain as a new tool. - Sourav Dutta, Goutam Das:
Design of Energy-efficient EPON: a Novel Protocol Proposal and its Performance Analysis. - Julien Baste, Binh-Minh Bui-Xuan, Antoine Roux:
Temporal Matching. - Nived Rajaraman, Rahul Vaze, Goonwanth Reddy:
Not Just Age but Age and Quality of Information. - Miguel Domingo, Mercedes García-Martínez, Alexandre Helle, Francisco Casacuberta, Manuel Herranz:
How Much Does Tokenization Affect Neural Machine Translation? - Lida Fanara, K. Gwinner, Ernst Hauber, Jürgen Oberst:
Automated detection of block falls in the north polar region of Mars. - Shahriar Sefati, Rachel Hegeman, Farshid Alambeigi, Iulian Iordachita, Mehran Armand:
FBG-Based Position Estimation of Highly Deformable Continuum Manipulators: Model-Dependent vs. Data-Driven Approaches. - Marco Guarnieri, Boris Köpf, José F. Morales, Jan Reineke, Andrés Sánchez:
SPECTECTOR: Principled Detection of Speculative Information Flows. - Muhammad Khuram Shahzad, Lewis Nkenyereye, S. M. Riazul Islam:
A Fuzzy System based Approach to Extend Network Lifetime for En-Route Filtering Schemes in WSNs. - Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson:
nocaps: novel object captioning at scale. - Jibon Naher, Matiur Rahman Minar:
Impact of Social Media Posts in Real life Violence: A Case Study in Bangladesh. - Vincent Cohen-Addad, Andreas Emil Feldmann, David Saulpic:
Near-Linear Time Approximation Schemes for Clustering in Doubling Metrics. - Xi Chen, Gregory S. Gutmann, Joe Bungo:
Deep Learning by Doing: The NVIDIA Deep Learning Institute and University Ambassador Program. - Pavel Korshunov, Sébastien Marcel:
DeepFakes: a New Threat to Face Recognition? Assessment and Detection. - Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk:
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation. - Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. - R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky:
RNNs Implicitly Implement Tensor Product Representations. - Saba Ahmadian, Reza Salkhordeh, Hossein Asadi:
LBICA: A Load Balancer for I/O Cache Architectures. - Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh
A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms. - Ahmed Aly, Kushal Lakhotia, Shicong Zhao, Mrinal Mohit, Barlas Oguz, Abhinav Arora, Sonal Gupta, Christopher Dewan, Stef Nelson-Lindall, Rushin Shah:
PyText: A Seamless Path from NLP research to production. - Josh Alman:
Limits on the Universal Method for Matrix Multiplication. - Ghassan AlRegib, Mohamed A. Deriche, Zhiling Long, Haibin Di, Zhen Wang, Yazeed Alaudah, Muhammad A. Shafiq, Motaz Alfarraj:
Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective. - Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro:
Splitting Epistemic Logic Programs. - Nathaniel Swinger, Maria De-Arteaga, Neil Thomas Heffernan IV, Mark D. M. Leiserson, Adam Tauman Kalai:
What are the biases in my word embedding? - Jia-Bin Huang:
Deep Paper Gestalt. - Bin Liu, Zhirong Wu, Han Hu, Stephen Lin:
Deep Metric Transfer for Label Propagation with Limited Annotated Data. - Zhizhen Zhao, Lydia T. Liu, Amit Singer:
Steerable ePCA. - Andreas Danzer, Stephan Reuter, Klaus Dietmayer:
The Adaptive Labeled Multi-Bernoulli Filter. - Martin Garriga, Maximiliano Arias, Alan De Renzis:
Blockchain and Cryptocurrency: A comparative framework of the main Architectural Drivers. - Yuefang Sun, Gregory Z. Gutin, Jiangdong Ai:
Arc-disjoint strong spanning subdigraphs in compositions and products of digraphs. - Mario Gleirscher, Diego Marmsoler:
Formal Methods: Oversold? Underused? A Survey. - Shuvendu K. Lahiri, Shuo Chen, Yuepeng Wang, Isil Dillig:
Formal Specification and Verification of Smart Contracts for Azure Blockchain. - Bram Adams, Benoit Baudry, Sigrid Eldh, Andy Zaidman, Gerald Schermann:
Automatic Quality Assurance and Release (Report from Dagstuhl Seminar 18122). - Ricardo Vilalta, Kinjal Dhar Gupta, Dainis Boumber, Mikhail M. Meskhi:
A General Approach to Domain Adaptation with Applications in Astronomy. - (Withdrawn) A novel approach to study the effect of font and background color combinations on the text recognition efficiency on LCDs.
- Calden Wloka, Toni Kunic, Iuliia Kotseruba, Ramin Fahimi, Nicholas Frosst, Neil D. B. Bruce, John K. Tsotsos:
SMILER: Saliency Model Implementation Library for Experimental Research. - Ed Quigley, Winnie Lin, Yilin Zhu, Ronald Fedkiw:
Three Dimensional Reconstruction of Botanical Trees with Simulatable Geometry. - Gregor Cerar, Mihael Mohorcic, Timotej Gale, Carolina Fortuna:
Link Quality Estimation using Machine Learning. - Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
Animating Arbitrary Objects via Deep Motion Transfer. - Ali Shahini, Nirwan Ansari:
NOMA Aided Narrowband IoT for Machine Type Communications with User Clustering. - Tom Hanika, Maren Koyda, Gerd Stumme:
Relevant Attributes in Formal Contexts. - Xiao Chen, Julian Cheng, Zaichen Zhang, Liang Wu, Jian Dang:
Data-Rate Driven Transmission Strategy for Deep Learning Based Communication Systems. - Keping Bi, Qingyao Ai, W. Bruce Croft:
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match. - Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat, Athman Bouguettaya:
Mobile Crowdsourced Sensors Selection for Journey Services. - Bo-Hsiang Tseng, Florian Kreyssig, Pawel Budzianowski, Iñigo Casanueva, Yen-Chen Wu, Stefan Ultes, Milica Gasic:
Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems. - Fern Y. Hunt:
Using First Hitting Times to Find Sets that Maximize the Convergence Rate to Consensus. - Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan K. Turaga, David H. Frakes:
An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation. - Ahmed Ben Said, Rachid Hadjidj, Sebti Foufou:
Cluster validity index based on Jeffrey divergence. - Junyoung Nam, Giuseppe Caire, Mérouane Debbah, H. Vincent Poor:
Capacity Scaling of Massive MIMO in Strong Spatial Correlation Regimes. - Robert G. Merkel:
Software Reliability Growth Models Predict Autonomous Vehicle Disengagement Events. - Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor:
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning. - Dushyantha A. Basnayaka, Tharmalingam Ratnarajah:
Doppler Effect Assisted Wireless Communication for Interference Mitigation. - Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. - Yixiong Liang, Yuan Mao, Zhihong Tang, Meng Yan, Yu-qian Zhao, Jianfeng Liu:
Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion. - Zamshed I. Chowdhury, S. Karen Khatamifard, Zhengyang Zhao, Masoud Zabihi, Salonik Resch, Meisam Razaviyayn, Jianping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu:
Computational RAM to Accelerate String Matching at Scale. - Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas S. Huang:
Slimmable Neural Networks. - Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan:
Neural Diffusion Model for Microscopic Cascade Prediction. - Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha:
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. - Antoine Proulx, Francis Raymond, Bruno Roy, Fábio Petrillo:
Problems and Solutions of Continuous Deployment: A Systematic Review. - Étienne André, Ichiro Hasuo, Masaki Waga:
Offline timed pattern matching under uncertainty. - Zhiqiang Zhao, Yongyu Wang, Zhuo Feng:
Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization. - Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. - Étienne André, Shang-Wei Lin:
The language preservation problem is undecidable for parametric event-recording automata. - Étienne André, Laurent Fribourg, Jean-Marc Mota, Romain Soulat:
Verification of an industrial asynchronous leader election algorithm using abstractions and parametric model checking. - Yonatan Belinkov, James R. Glass:
Analysis Methods in Neural Language Processing: A Survey. - Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi:
Primal path algorithm for compositional data analysis. - Arthur Choi, Ruocheng Wang, Adnan Darwiche:
On the Relative Expressiveness of Bayesian and Neural Networks. - Thatchaphol Saranurak
Expander Decomposition and Pruning: Faster, Stronger, and Simpler. - Hussein A. Abbass, John Harvey, Kate J. Yaxley
Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents. - MirSaleh Bahavarnia, Hossein K. Mousavi, Nader Motee:
Sparse Sensing, Communication, and Actuation via Self-Triggered Control Algorithms. - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Densely Semantically Aligned Person Re-Identification. - Clemence Roulin, Ali Dorri, Raja Jurdak, Salil S. Kanhere:
On the Activity Privacy of Blockchain for IoT. - Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin:
COSINE: Compressive Network Embedding on Large-scale Information Networks. - Fangwen Tu, Shuzhi Sam Ge, Yazhe Tang, Chang Chieh Hang:
Saliency Guided Hierarchical Robust Visual Tracking. - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
Multi-component Image Translation for Deep Domain Generalization. - Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection. - Yedid Hoshen, Jitendra Malik:
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors. - Li Zhou, Jianfeng Gao, Di Li, Heung-Yeung Shum:
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot. - Xianhua Niu, Chaoping Xing:
A Construction of Optimal Frequency Hopping Sequence Set via Combination of Multiplicative and Additive Groups of Finite Fields. - Hailong Liu, Toshihiro Hiraoka:
Driving behavior model considering driver's over-trust in driving automation system. - Kanghoon Lee, Jihye Choi, Moonsu Cha, Jung Kwon Lee, Taeyoon Kim:
Stochastic Doubly Robust Gradient. - Klas Leino, Matt Fredrikson
Feature-Wise Bias Amplification. - Emre Erturk
Study on A High-integrated Cloud-Based Customer Relationship Management System. - Ron Brandl, Panos Kotsampopoulos, Georg Lauss, Marios Maniatopoulos, Maria Nuschke, Juan Montoya, Thomas I. Strasser, Diana Strauss-Mincu:
Advanced Testing Chain Supporting the Validation of Smart Grid Systems and Technologies. - Klemen Grm, Martin Pernus, Leo Cluzel, Walter J. Scheirer, Simon Dobrisek, Vitomir Struc:
Face Hallucination Revisited: An Exploratory Study on Dataset Bias. - Qihao Zhou, Kan Zheng, Lu Hou, Jinyu Xing, Rongtao Xu:
X-LoRa: An Open Source LPWA Network. - Lanqiang Li, Shixin Zhu, Li Liu, Xiaoshan Kai:
MDS codes with Hermitian hulls of arbitrary dimensions and their quantum error correction. - Erez Yahalomi, Michael Chernofsky, Michael Werman:
Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN. - Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jonathon A. Chambers:
Deep Reinforcement Learning for Real-Time Optimization in NB-IoT Networks. - Eric Benhamou, Jamal Atif, Rida Laraki, Anne Auger:
A new approach to learning in Dynamic Bayesian Networks (DBNs). - Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin:
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. - Guoyun Tu, Yanwei Fu, Boyang Li, Jiarui Gao, Yu-Gang Jiang, Xiangyang Xue:
A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization. - Ajaya Adhikari, David M. J. Tax, Riccardo Satta, Matthias Faeth:
Example and Feature importance-based Explanations for Black-box Machine Learning Models. - Carole H. Sudre
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. - Christiane Gresse von Wangenheim, João V. Araujo Porto, Jean C. R. Hauck, Adriano Ferreti Borgatto:
Do we agree on user interface aesthetics of Android apps? - Lynda Kacha, Abdelhafid Zitouni:
An Overview on Data Security in Cloud Computing. - Ahmed Ahmim, Leandros Maglaras, Mohamed Amine Ferrag, Makhlouf Derdour, Helge Janicke:
A Novel Hierarchical Intrusion Detection System based on Decision Tree and Rules-based Models. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
Measuring science: irresistible temptations, easy shortcuts and dangerous consequences. - Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference. - Zhuyifan Ye, Yilong Yang, Xiaoshan Li, Dong-Sheng Cao, Defang Ouyang:
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction. - Soo Ye Kim, Jeongyeon Lim, Taeyoung Na, Munchurl Kim:
3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks. - Roni Permana Saputra, Petar Kormushev:
Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots. - Slawomir T. Wierzchon, Mieczyslaw A. Klopotek, Maciej Michalewicz:
Reasoning and Facts Explanation in Valuation Based Systems. - Felipe A. Louza:
A Simple Algorithm for Computing the Document Array. - Hugo A. Akitaya, Maike Buchin, Bernhard Kilgus, Stef Sijben, Carola Wenk:
Distance Measures for Embedded Graphs. - Xinwei Yue, Yuanwei Liu, Shaoli Kang, Arumugam Nallanathan, Zhiguo Ding:
Spatially Random Relay Selection for Full/Half-Duplex Cooperative NOMA Networks. - Bernd R. Schuh:
Sub-exponential complexity of regular linear CNF formulas. - Timothée Lesort, Hugo Caselles-Dupré
Generative Models from the perspective of Continual Learning. - Thaísa Cardoso Lacerda, Christiane Gresse von Wangenheim, Jean C. R. Hauck:
A Mapping Study on Software Process Self-Assessment Methods. - Nicolas Vecoven, Damien Ernst, Guillaume Drion:
Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours. - Steven D. Galbraith, Lorenz Panny, Benjamin Smith
Quantum Equivalence of the DLP and CDHP for Group Actions. - Hichem Sahbi:
Cascaded Coarse-to-Fine Deep Kernel Networks for Efficient Satellite Image Change Detection. - Vincent Cohen-Addad, Laurent Feuilloley, Tatiana Starikovskaya:
Lower bounds for text indexing with mismatches and differences. - Trung Nguyen, Barth Lakshmanan, Weihua Sheng:
A Smart Security System with Face Recognition. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
The alignment of public research supply and industry demand for effective technology transfer: the case of Italy. - Chang Liu, Zhaowei Shang, Anyong Qin:
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network. - Roni Permana Saputra, Petar Kormushev:
ResQbot: A Mobile Rescue Robot with Immersive Teleperception for Casualty Extraction. - Christos Bellas, Anastasios Gounaris:
Speeding-up the Verification Phase of Set Similarity Joins in the GPGPU paradigm. - Giovanni Abramo:
The Technology Transfer of the Italian Public Research System: the Case of the National Research Council of Italy. - Xavier Caruso, Amaury Durand:
Reed-Solomon-Gabidulin Codes. - Junaid Arshad, Muhammad Ajmal Azad, Khaled Salah, Wei Jie, Razi Iqbal, Mamoun Alazab:
A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT. - Fabien André, Anne-Marie Kermarrec, Nicolas Le Scouarnec:
Quicker ADC : Unlocking the hidden potential of Product Quantization with SIMD. - Yuanzhi Huang, Eamonn Ahearne, Szymon Baron, Andrew Parnell:
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Identifying interdisciplinarity through the disciplinary classification of co-authors of scientific publications. - Gabriel Marzinotto, Frédéric Béchet, Géraldine Damnati, Alexis Nasr:
Sources of Complexity in Semantic Frame Parsing for Information Extraction. - Izzeddin Gur, Ulrich Rückert, Aleksandra Faust, Dilek Hakkani-Tür:
Learning to Navigate the Web. - Antzela Kosta, Nikolaos Pappas, Anthony Ephremides, Vangelis Angelakis:
Age of Information Performance of Multiaccess Strategies with Packet Management. - Mark Elliot, Josep Domingo-Ferrer:
The future of statistical disclosure control. - Seonghyuk Im:
Complexity of Partitioning Hypergraphs. - Tias Guns, Peter J. Stuckey, Guido Tack:
Solution Dominance over Constraint Satisfaction Problems. - Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Learning Compositional Representations for Few-Shot Recognition. - Milad Alshomary, Michael Völske, Tristan Licht, Henning Wachsmuth, Benno Stein, Matthias Hagen, Martin Potthast:
Wikipedia Text Reuse: Within and Without. - Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani:
Nonparametric Feature Extraction from Dendrograms. - Xiaoxiao Sun, Liang Zheng, Yu-Kun Lai, Jufeng Yang:
Learning from Web Data: the Benefit of Unsupervised Object Localization. - Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Anurag Mishra:
Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data. - Ningyuan Chen, Guillermo Gallego:
A Primal-dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Fulvio Viel:
Assessing the accuracy of the h and g indexes for measuring researchers' productivity. - Grzegorz Chrupala:
Symbolic inductive bias for visually grounded learning of spoken language. - Mengshuo Jia, Chen Shen:
Privacy-Preserving Distributed Joint Probability Modeling for Spatial-Correlated Wind Farms. - Hendrik Fichtenberger, Anja Rey:
Testing Stability Properties in Graphical Hedonic Games. - Andriy V. Miranskyy, Lei Zhang:
On Testing Quantum Programs. - Mangayarkarasi Ramaiah, Dilip K. Prasad:
Polygonal approximation of digital planar curve using novel significant measure. - Feras Almasri, Olivier Debeir:
Multimodal Sensor Fusion In Single Thermal image Super-Resolution. - Hichem Sahbi:
Canonical Correlation Analysis for Misaligned Satellite Image Change Detection. - Benjamin Bordais, Shibashis Guha, Jean-François Raskin:
Expected Window Mean-Payoff. - Antzela Kosta, Nikolaos Pappas, Anthony Ephremides, Vangelis Angelakis:
The Cost of Delay in Status Updates and their Value: Non-linear Ageing. - Xavier Bost, Marc El-Bèze, Renato De Mori:
Multiple topic identification in telephone conversations. - Devesh Walawalkar, Yihui He, Rohit Pillai:
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition. - Grigor Aslanyan, Utkarsh Porwal:
Direct Estimation of Position Bias for Unbiased Learning-to-Rank without Intervention. - Quang Minh Ha, Yves Deville, Quang-Dung Pham, Minh Hoàng Hà:
A Hybrid Genetic Algorithm for the Traveling Salesman Problem with Drone. - Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, Bing Su, Weitian Tong, Yao Xu, An Zhang:
A local search 4/3-approximation algorithm for the minimum 3-path partition problem. - Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass:
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. - Onur Dizdar:
A Complexity Reduction Method for Successive Cancellation List Decoding. - Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass:
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. - Sameer Ansari, Neal Wadhwa, Rahul Garg, Jiawen Chen:
Wireless Software Synchronization of Multiple Distributed Cameras. - Benjamin J. Q. Woods:
Fast post-hoc method for updating moments of large datasets. - Thomas Köhler:
Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging. - Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan:
Human-AI Learning Performance in Multi-Armed Bandits. - Maliheh Goliforoushani, Radin Hamidi Rad, Maryam Amir Haeri:
A Fuzzy Community-Based Recommender System Using PageRank. - John Akers, Gagan Bansal, Gabriel Cadamuro, Christine Chen, Quanze Chen, Lucy H. Lin, Phoebe Mulcaire, Rajalakshmi Nandakumar, Matthew Rockett, Lucy Simko, John Toman, Tongshuang Wu, Eric Zeng, Bill Zorn, Franziska Roesner:
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations. - Zheng Chen, Xinli Yu, Yuan Ling, Bo Song, Wei Quan, Xiaohua Hu, Erjia Yan:
Correlated Anomaly Detection from Large Streaming Data. - Nima Mohajerin, Mohsen Rohani:
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks. - Li Chen, Chih-Yuan Yang, Anindya Paul, Ravi Sahita:
Towards resilient machine learning for ransomware detection. - Syed Eqbal Alam, Robert Shorten, Fabian Wirth, Jia Yuan Yu:
Derandomized Distributed Multi-resource Allocation with Little Communication Overhead. - Can Liu, Shridatt Sugrim, Gradeigh D. Clark, Janne Lindqvist:
Quantifying the Security of Recognition Passwords: Gestures and Signatures. - M. H. van Emden:
Correct by construction. - Ahmed N. Al-Quzweeni, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optimized Energy Aware 5G Network Function Virtualization. - Vikram Iyer, Rajalakshmi Nandakumar, Anran Wang, Sawyer B. Fuller, Shyamnath Gollakota:
Living IoT: A Flying Wireless Platform on Live Insects. - Xiao-Feng Xie, Zun-Jing Wang:
Exploiting Problem Structure in Combinatorial Landscapes: A Case Study on Pure Mathematics Application. - Matthew Bernhard:
Physical Cryptographic Signatures for Absentee Ballots. - Yongli Zhu, Chengxi Liu, Kai Sun:
Image Embedding of PMU Data for Deep Learning towards Transient Disturbance Classification. - Daniel Copeland, Jamie Pommersheim:
Quantum query complexity of symmetric oracle problems. - Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
Dynamic Graph Representation Learning via Self-Attention Networks. - Chi Zhang, Xiaohan Duan, Linyuan Wang, Yongli Li, Bin Yan, Guoen Hu, Ruyuan Zhang, Li Tong:
Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain. - Dong Zhao, Huadong Ma, Xinna Ji:
Generalized Lottery Trees: Budget-Consistent Incentive Tree Mechanisms for Crowdsourcing. - Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. - Manu Bansal, Eyal Cidon, Arjun Balasingam, Aditya Gudipati, Christos Kozyrakis, Sachin Katti:
Trevor: Automatic configuration and scaling of stream processing pipelines. - Zhizheng Zhang, Zhibo Chen, Jianxin Lin, Weiping Li:
Learned Scalable Image Compression with Bidirectional Context Disentanglement Network. - Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. - Yong Deng, Min Dong:
Cache Placement Optimization for Coded Caching with Arbitrary Cache Size. - Wushun Chen, Tao Li:
Distributed Economic Dispatch for Energy Internet Based on Multi-Agent Consensus Control. - Ahmed M. Bedewy, Yin Sun, Sastry Kompella, Ness B. Shroff:
Age-optimal Sampling and Transmission Scheduling in Multi-Source Systems. - Kunjin Chen, Jun Hu, Yu Zhang, Zhanqing Yu, Jinliang He:
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks. - Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang:
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. - Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Joint Slot Filling and Intent Detection via Capsule Neural Networks. - Kaien Liu, Zhijian Ji, Xianfu Zhang:
Event-triggered consensus of multi-agent systems under directed topology based on periodic sampled-data. - Tingxiao Yang, Yuichiro Yoshimura, Akira Morita, Takao Namiki, Toshiya Nakaguchi:
Fully Automatic Segmentation of Sublingual Veins from Retrained U-Net Model for Few Near Infrared Images. - Victoria Mingote, Antonio Miguel, Alfonso Ortega, Eduardo Lleida:
Differentiable Supervector Extraction for Encoding Speaker and Phrase Information in Text Dependent Speaker Verification. - Piotr Iwo Wójcik:
Random Projection in Deep Neural Networks. - Victor Mayoral Vilches, Gorka Olalde Mendia, Xabier Perez Baskaran, Alejandro Hernández Cordero, Lander Usategui San Juan, Endika Gil-Uriarte, Odei Olalde Saez de Urabain, Laura Alzola Kirschgens:
Aztarna, a footprinting tool for robots. - Victor Mayoral Vilches, Laura Alzola Kirschgens, Endika Gil-Uriarte, Alejandro Hernández, Bernhard Dieber
Volatile memory forensics for the Robot Operating System. - Youzhi Xiang, Zhaoxia Yin, Xinpeng Zhang:
Reversible Data Hiding in Encrypted Images based on MSB Prediction and Huffman Coding. - Zhilin Zheng, Li Sun:
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions. - Atreyee Kundu:
On asymptotic characterization of destabilizing switching signals for switched linear systems. - Tobias Baum, Steffen Herbold, Kurt Schneider:
An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction. - Changsen Yuan, Heyan Huang, Chong Feng, Xiao Liu, Xiaochi Wei:
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding. - Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Matthias Niewerth:
Enumeration on Trees with Tractable Combined Complexity and Efficient Updates. - Yaniv Fogel, Meir Feder:
Universal Supervised Learning for Individual Data. - Jacob Menashe, Peter Stone:
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning. - Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
On Functional Aggregate Queries with Additive Inequalities. - Hong Huang, Guangyao Shi, Haibo He, Yule Duan, Fulin Luo:
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning. - Zixi Cai, Helmut Neher, Kanav Vats, David A. Clausi, John S. Zelek:
Temporal Hockey Action Recognition via Pose and Optical Flows. - Christopher Harrison, Christine R. Kirkpatrick, Inês Dutra
Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction. - Murhaf Hossari, Soumyabrata Dev, John D. Kelleher:
TEST: A Terminology Extraction System for Technology Related Terms. - Malte F. Jung, Dominic DiFranzo, Brett Stoll, Solace Shen, Austin Lawrence, Houston Claure:
Robot Assisted Tower Construction - A Resource Distribution Task to Study Human-Robot Collaboration and Interaction with Groups of People. - Ahmed Allam, Mate Levente Nagy, George R. Thoma, Michael Krauthammer:
Neural networks versus Logistic regression for 30 days all-cause readmission prediction. - Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. - Zhentao Li, Adrian Vetta:
The Fair Division of Hereditary Set Systems. - Hanchen Xu, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori:
Learning Dynamical Demand Response Model in Real-Time Pricing Program. - S. V. Belim, S. B. Larionov:
The algorithm of formation of a training set for an artificial neural network for image segmentation. - Emrah Basaran, Yonatan Tariku Tesfaye, Mubarak Shah:
EgoReID: Person re-identification in Egocentric Videos Acquired by Mobile Devices with First-Person Point-of-View. - Felix Lehfuss, Georg Lauss, Christian Seitl, Fabian Leimgruber, Martin Noehrer, Thomas I. Strasser:
Coupling of Real-Time and Co-Simulation for the Evaluation of the Large Scale Integration of Electric Vehicles into Intelligent Power Systems. - Albert E. Shaw, Bo Dai, Weiyang Liu, Le Song:
Bayesian Meta-network Architecture Learning. - Georg Lauss, Filip Pröstl Andrén, Fabian Leimgruber, Thomas I. Strasser:
Analyzing standardization needs for CHIL-based testing of power systems and components. - Marcel Otte, Fabian Leimgruber, Roland Bründlinger, Sebastian Rohjans, Aadil Latif, Thomas I. Strasser:
Hardware-in-the-Loop Co-Simulation Based Validation of Power System Control Applications. - Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum:
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks. - Mozhi Zhang, Yoshinari Fujinuma, Jordan L. Boyd-Graber:
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification. - Alican Bozkurt, Babak Esmaeili, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent:
Can VAEs Generate Novel Examples? - Khodakhast Bibak, Olgica Milenkovic:
Explicit Formulas for the Weight Enumerators of Some Classes of Deletion Correcting Codes. - Ali Alkhatlan, Jugal Kalita:
Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments. - Kazutaka Uchida, Masayuki Tanaka, Masatoshi Okutomi:
Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks. - Balázs Csanád Csáji, Krisztián Balázs Kis:
Uncertainty Quantification for Kernel Methods. - Yoonchang Sung, Pratap Tokekar:
GM-PHD Filter for Searching and Tracking an Unknown Number of Targets with a Mobile Sensor with Limited FOV. - Fei Zuo, Lannan Luo, Qiang Zeng:
Countermeasures Against L0 Adversarial Examples Using Image Processing and Siamese Networks. - Zilu Yu, Chen Chen, Dianbo Liu:
Movies Network as the Indicator of Globalization. - William Hoiles, Vikram Krishnamurthy:
Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics. - Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John W. Paisley:
Mixed Membership Recurrent Neural Networks. - (Withdrawn) Learning to Prevent Monocular SLAM Failure using Reinforcement Learning.
- Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang:
Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features. - Peter Hansel, Nik Marda, William Yin:
Improving Context-Aware Semantic Relationships in Sparse Mobile Datasets. - Kimberly Redmond, Lannan Luo, Qiang Zeng:
A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis. - Achyudh Ram, Meiyappan Nagappan:
Supervised Sentiment Classification with CNNs for Diverse SE Datasets. - Xiaoyan Lu, Boleslaw K. Szymanski:
Scalable prediction of global online media news virality. - Wen Zhou, Dong Zhang, Chen Chen, Dianbo Liu:
Border Effect of Complex Network: An analysis on the cooperation network of movie stars across different regions. - Dianbo Liu, Néstor Sepúlveda, Ming Zheng:
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden. - Ankur Chowdhary, Sailik Sengupta, Dijiang Huang, Subbarao Kambhampati:
Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks. - Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. - Sihem Mesnager, Kwang Ho Kim, Dujin Jo, Junyop Choe, Munhyon Han, Dok Nam Lee:
A Proof of the Beierle-Kranz-Leander Conjecture related to Lightweight Multiplication in F2n. - Canbo Ye, Guang Chen, Sanqing Qu, Qianyi Yang, Kai Chen, Jiatong Du, Ruien Hu:
Self-Localization of Parking Robots Using Square-Like Landmarks. - Sanqing Qu, Guang Chen, Canbo Ye, Fan Lu, Fa Wang, Zhongcong Xu, Yixin Ge:
An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR. - Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean H. Lorenz, Isaac Keslassy, Ariel Orda:
AnchorHash: A Scalable Consistent Hash. - Zhuoqian Yang, Jing Yu, Chenghao Yang, Zengchang Qin, Yue Hu:
Multi-modal Learning with Prior Visual Relation Reasoning. - Miroslav Bures, Xavier J. A. Bellekens, Karel Frajták, Bestoun S. Ahmed:
A Comprehensive View on Quality Characteristics of the IoT Solutions. - Karl-Heinz Zimmermann:
Computations in Stochastic Acceptors. - Diganta Misra, Vanshika Arora
Image Processing on IOPA Radiographs: A comprehensive case study on Apical Periodontitis. - Masoud Abbaszadeh, Horacio J. Marquez:
Nonlinear Robust Filtering of Sampled-Data Dynamical Systems. - Diganta Misra, Sparsha Mishra, Bhargav Appasani:
Advanced Image Processing for Astronomical Images. - David Peer, Sebastian Stabinger
Training Deep Capsule Networks. - Indraneil Paul
Elites Tweet? Characterizing the Twitter Verified User Network. - Francesco Calimeri, Simona Perri, Jessica Zangari:
Optimizing Answer Set Computation via Heuristic-Based Decomposition. - Nadezda F. Bogachenko:
The Equivalent Conversions of the Role-Based Access Control Model. - Xi Chen, Caylin Hickey:
Parallelized Interactive Machine Learning on Autonomous Vehicles. - Cosimo Anglano, Massimo Canonico, Marco Guazzone:
The ShareGrid Portal: an easy way to submit jobs on computational Grids. - Cosimo Anglano, Massimo Canonico, Marco Guazzone, Matteo Zola:
The TAAROA Project Specification. - Jie Song, Bjoern Andres, Michael J. Black, Otmar Hilliges, Siyu Tang:
End-to-end Learning for Graph Decomposition. - Pooran Singh Negi, David Chan, Mohammad H. Mahoor:
Leveraging Class Similarity to Improve Deep Neural Network Robustness. - Laing Lourens, Arijit Patra, Luqmaan Hassim, Faheem Sima, Avashlin Moodley, Pulkit Sharma:
Water quality information dissemination at real-time in South Africa using language modelling. - Tobias Baum, Steffen Herbold, Kurt Schneider:
A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts. - Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar:
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks. - Shahbaz Rezaei, Xin Liu:
How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets. - Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt:
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. - Tatjana Petrov:
Markov chain aggregation and its application to rule-based modelling. - Roohollah Amiri, Mojtaba Ahmadi Almasi, Jeffrey G. Andrews, Hani Mehrpouyan:
Reinforcement Learning for Self-Organization and Power Control of Two-Tier Heterogeneous Networks. - Mehdi Zakroum, Abdellah Houmz, Mounir Ghogho, Ghita Mezzour, Abdelkader Lahmadi, Jérôme François, Mohammed El Koutbi:
Exploratory Data Analysis of a Network Telescope Traffic and Prediction of Port Probing Rates. - Mehdi Zakroum, Mounir Ghogho, Mustapha Faqir, Mohamed Aymane Ahajjam:
Deep Learning for Inferring the Surface Solar Irradiance from Sky Imagery. - Barbara I. Mahler:
Analysis of contagion maps on a class of networks that are spatially embedded in a torus. - Zi-Rui Wang, Jun Du, Jia-Ming Wang:
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition. - Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda:
Precision Highway for Ultra Low-Precision Quantization. - Thomas Bourgeat, Ilia A. Lebedev, Andrew Wright, Sizhuo Zhang, Arvind, Srinivas Devadas:
MI6: Secure Enclaves in a Speculative Out-of-Order Processor. - Michael A. Bender, Jonathan W. Berry, Martin Farach-Colton, Rob Johnson, Thomas M. Kroeger, Prashant Pandey, Cynthia A. Phillips, Shikha Singh:
The Online Event-Detection Problem. - Wenting Chen, Xinpeng Xie, Xi Jia, Linlin Shen:
Texture Deformation Based Generative Adversarial Networks for Face Editing. - Guodong Zeng, Guoyan Zheng:
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images. - Tommy Hosman, Marco Vilela, Daniel Milstein, Jessica N. Kelemen, David M. Brandman, Leigh R. Hochberg, John D. Simeral:
BCI decoder performance comparison of an LSTM recurrent neural network and a Kalman filter in retrospective simulation. - Cong Duy Vu Hoang, Ioan Calapodescu, Marc Dymetman:
Moment Matching Training for Neural Machine Translation: A Preliminary Study. - Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin:
On the Distortion Value of the Elections with Abstention. - Chaoqun Wang, Delong Zhu, Teng Li, Max Q.-H. Meng, Clarence W. de Silva:
SRM: An Efficient Framework for Autonomous Robotic Exploration in Indoor Environments. - Vitaly Feldman, Jan Vondrák:
Generalization Bounds for Uniformly Stable Algorithms. - Michel de Rougemont, Guillaume Vimont:
The content correlation of multiple streaming edges. - Joan Garriga, Frederic Bartumeus:
bigMap: Big Data Mapping with Parallelized t-SNE. - Hannes Thaller, Lukas Linsbauer, Alexander Egyed:
Feature Maps: A Comprehensible Software Representation for Design Pattern Detection. - O. Voinov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Denis Zorin, Evgeniy Burnaev:
Perceptually-based single-image depth super-resolution. - Yazeed Alharbi
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation. - Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar:
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals. - Zeev Nutov, Eli Shalom:
Approximating activation edge-cover and facility location problems. - Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang:
Automatic Device Classification from Network Traffic Streams of Internet of Things. - Harald Räcke, Stefan Schmid:
Compact Oblivious Routing. - Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar:
Motion Blur removal via Coupled Autoencoder. - Kyaw Zaw Lin, Weipeng Xu, Qianru Sun, Christian Theobalt, Tat-Seng Chua:
Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation. - Yipeng Sun, Chengquan Zhang, Zuming Huang, Jiaming Liu, Junyu Han, Errui Ding:
TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network. - Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman:
Invariant and Equivariant Graph Networks. - Yuval Atzmon, Gal Chechik:
Domain-Aware Generalized Zero-Shot Learning. - Xuli Liu, Jihao Jin, Qi Wang
PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records. - Vikas Kumar, Arun K. Pujari, Vineet Padmanabhan, Venkateswara Rao Kagita:
Group Preserving Label Embedding for Multi-Label Classification. - Wonwoong Cho
Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation. - Prosenjit Bose, Paz Carmi, Vida Dujmovic, Pat Morin:
Near-Optimal O(k)-Robust Geometric Spanners. - Wei Wang, Yuan Sun, Saman K. Halgamuge:
Improving MMD-GAN Training with Repulsive Loss Function. - Igor Korkin
Divide et Impera: MemoryRanger Runs Drivers in Isolated Kernel Spaces. - Tailin Liang, Lei Wang, Shaobo Shi, John Glossner:
Dynamic Runtime Feature Map Pruning. - Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, René Vidal, Manolis C. Tsakiris:
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms. - Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: Stochastic Neural Architecture Search. - Qi Mu, Yanyan Wei, Zhanli Li:
Color Image Enhancement Method Based on Weighted Image Guided Filtering. - Marco Conoscenti, Antonio Vetrò, Juan Carlos De Martin, Federico Spini, Fabio Castaldo, Sebastiano Scròfina:
CLoTH: a Simulator for HTLC Payment Networks. - Houda Kriouile, Bouchra El Asri:
Graph-Based Algorithm for a User-Aware SaaS Approach: Computing Optimal Distribution. - Lucas Moutinho Bueno:
3-Colorable Delaunay Triangulations. - Radu Calinescu, Colin Paterson, Kenneth Johnson:
Efficient Parametric Model Checking Using Domain Knowledge. - Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong:
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes. - Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab:
Self-Attention Equipped Graph Convolutions for Disease Prediction. - Zahed Dastan, Mahsan Tavakoli-Kakhki:
Design of Robust Reference Input Tracker via Delayed Feedback Control Method. - Morteza Zakeri Nasrabadi, Saeed Parsa, Akram Kalaee:
Neural Fuzzing: A Neural Approach to Generate Test Data for File Format Fuzzing. - Rafael G. L. D'Oliveira, Salim El Rouayheb, David A. Karpuk:
GASP Codes for Secure Distributed Matrix Multiplication. - Matias Travizano, Carlos Sarraute, Gustavo Ajzenman, Martin Minnoni:
Wibson: A Decentralized Data Marketplace. - Ryan O'Donnell, Tselil Schramm:
Sherali-Adams Strikes Back. - Xingxing Liang
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control. - Fabian Ruffy, Michael Przystupa, Ivan Beschastnikh:
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control. - Yi Yu, Haiquan Zhao, Rodrigo C. de Lamare, Yuriy V. Zakharov:
Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents. - Batya Kenig, Dan Suciu:
Integrity Constraints Revisited: From Exact to Approximate Implication. - Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell:
Similarity R-C3D for Few-shot Temporal Activity Detection. - Samet Oymak, Mahdi Soltanolkotabi:
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? - Hsi-Ming Ho, Ruoyu Zhou, Timothy M. Jones:
On Verifying Timed Hyperproperties. - Ghasem Pasandi, Massoud Pedram:
PBMap: A Path Balancing Technology Mapping Algorithm for Single Flux Quantum Logic Circuits. - George Cherevichenko:
Alpha-conversion for lambda terms with explicit weakenings. - Ghasem Pasandi, Sied Mehdi Fakhraie:
A 256kb 9T Near-Threshold SRAM With 1k Cells per Bit-Line and Enhanced Write and Read Operations. - Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu:
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning. - Shuai Zhang, Lu Liu, Yu Cheng, Xianghui Cao, Sheng Zhou, Zhisheng Niu, Hangguan Shan:
Energy Efficient Massive MIMO through Distributed Precoder Design. - Kai Wang, Yimin Lin, Luowei Wang, Liming Han, Minjie Hua, Xiang Wang, Shiguo Lian, Bill Huang:
A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation. - Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. - Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. - Moez A. AbdelGawad:
Fixed Points, Induction, and Coinduction in Order Theory, Set Theory, (PL) Type Theory, Category Theory, and Logic: A Concise Summary. - Hongshan Li, Chenghao Hu, Jingyan Jiang, Zhi Wang, Yonggang Wen, Wenwu Zhu:
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution. - Huai Chen, Yuxiao Qi, Yong Yin, TengXiang Li, Guanzhong Gong, Lisheng Wang:
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma. - Jianpeng Cheng, Siva Reddy, Mirella Lapata:
Building a Neural Semantic Parser from a Domain Ontology. - Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama, Kazunori Hayashi:
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach. - Tiehang Duan, José P. Pinto, Xiaohui Xie:
Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures. - Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee:
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning. - Krishan Rajaratnam, Jugal Kalita:
Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition. - Jinming Su, Jia Li, Changqun Xia, Yonghong Tian:
Selectivity or Invariance: Boundary-aware Salient Object Detection. - Zhibo Chen, Tianyu He:
Learning based Facial Image Compression with Semantic Fidelity Metric. - Lin Sun
Coupled Recurrent Network (CRN). - Weijie Jiang, Zachary A. Pardos, Qiang Wei:
Goal-based Course Recommendation. - Li Chen, Hailun Ding, Qi Li, Jiawei Zhu, Haozhe Huang, Yifan Chang, Haifeng Li:
Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method. - Yusei Miura, Tetsuya Sakurai, Claus Aranha, Toshiya Senda, Ryuichi Kato, Yusuke Yamada:
Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module. - Suman Samui, Indrajit Chakrabarti, Soumya K. Ghosh:
Tensor-Train Long Short-Term Memory for Monaural Speech Enhancement. - Yuxin Chen, Morteza Haghir Chehreghani:
Trip Prediction by Leveraging Trip Histories from Neighboring Users. - S. V. Belim, S. B. Larionov:
The algorithm of the impulse noise filtration in images based on an algorithm of community detection in graphs. - Mario Gleirscher, Simon Foster
Assuring Autonomous Systems: Opportunities for Integrated Formal Methods? - Hamid Laga:
A Survey on Non-rigid 3D Shape Analysis. - Lingchen Zhao, Qian Wang, Qin Zou, Yan Zhang, Yanjiao Chen:
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants. - Salah Zaiem, Fatiha Sadat:
Sequence to Sequence Learning for Query Expansion. - Jingbo Liu, Ramon van Handel, Sergio Verdú:
Second-Order Converses via Reverse Hypercontractivity. - René van Bevern, Till Fluschnik, Oxana Yu. Tsidulko:
On (1+ε)-approximate problem kernels for the Rural Postman Problem. - Yan Ge, Haiping Lu, Pan Peng:
Mixed-Order Spectral Clustering for Networks. - Tshilidzi Marwala:
Can rationality be measured? - Hsi-Ming Ho:
Revisiting Timed Logics with Automata Modalities. - Véronique Prinet:
Motion Selective Prediction for Video Frame Synthesis. - Ozan Irsoy, Ethem Alpaydin:
Dropout Regularization in Hierarchical Mixture of Experts. - Huda Chuangpishit, Saeed Mehrabi, Lata Narayanan, Jaroslav Opatrny:
Evacuating Equilateral Triangles and Squares in the Face-to-Face Model. - Valerie King, Jared Saia:
Correction to Byzantine Agreement in Expected Polynomial Time, JACM 2016. - Paulo S. C. Alencar, Donald D. Cowan, Doug Mulholland:
The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water. - Maria Cristina Vale Tavares, Paulo S. C. Alencar, Donald D. Cowan:
A Variability-Aware Design Approach to the Data Analysis Modeling Process. - Doug Mulholland, Paulo S. C. Alencar, Donald D. Cowan:
The Next Generation of Metadata-Oriented Testing of Research Software. - Bappaditya Mandal, Niladri B. Puhan, Avijit Verma:
Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data. - Hoon Hong, Alexey Ovchinnikov, Gleb Pogudin, Chee Yap:
SIAN: software for structural identifiability analysis of ODE models. - Yawei Zhao, En Zhu, Xinwang Liu, Jianping Yin:
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit. - Sukesh Adiga V, Jayanthi Sivaswamy:
FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks. - Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li:
Protecting Sensitive Attributes via Generative Adversarial Networks. - Saeed Nozhati, Yugandhar Sarkale, Edwin K. P. Chong, Bruce R. Ellingwood:
Optimal Stochastic Dynamic Scheduling for Managing Community Recovery from Natural Hazards. - Qiang Zeng, Jianhai Su, Chenglong Fu, Golam Kayas, Lannan Luo:
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples. - Mikhail Prokopenko, Peter Wang:
Gliders2d: Source Code Base for RoboCup 2D Soccer Simulation League. - Lei Han, Mengqi Ji, Lu Fang, Matthias Nießner:
RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration. - Kai Cao, Dinh-Luan Nguyen, Cori Tymoszek, Anil K. Jain:
End-to-End Latent Fingerprint Search. - James Drain:
Two algorithms for the package-exchange robot-routing problem. - Yue Zhao, Hong Zhu, Qintao Shen, Ruigang Liang, Kai Chen, Shengzhi Zhang:
Practical Adversarial Attack Against Object Detector. - Lin Wu, Yang Wang, Ling Shao, Meng Wang:
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification. - Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
Learning to Refine Source Representations for Neural Machine Translation. - Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li:
Meta Learning for Few-shot Keyword Spotting. - Yu Wang, Abhishek Patel, Hongxia Jin:
A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System. - Yu Wang, Yilin Shen, Hongxia Jin:
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling. - Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran:
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning. - Yibo Lin, Zhao Song, Lin F. Yang:
Towards a Theoretical Understanding of Hashing-Based Neural Nets. - Prerona Chatterjee
Constructing Faithful Homomorphisms over Fields of Finite Characteristic. - Abdulkadir Albayrak, Asli Unlu, Nurullah Çalik, Abdulkerim Çapar, Gokhan Bilgin, Behcet Ugur Töreyin, Bahar Muezzinoglu, Ilknur Türkmen, Lutfiye Durak-Ata:
A Whole Slide Image Grading Benchmark and Tissue Classification for Cervical Cancer Precursor Lesions with Inter-Observer Variability. - Kong Aik Lee, Qiongqiong Wang, Takafumi Koshinaka:
The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA. - Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He:
A Survey to Deep Facial Attribute Analysis. - Fahri Wisnu Murti, Rahmat Faddli Siregar, Soo Young Shin:
Exploiting non-orthogonal multiple access in downlink coordinated multipoint transmission with the presence of imperfect channel state information. - Pankaj K. Agarwal, Boris Aronov, Esther Ezra, Joshua Zahl:
An Efficient Algorithm for Generalized Polynomial Partitioning and Its Applications. - Torgeir Dingsøyr, Nils Brede Moe, Helena Holmström Olsson:
Towards an Understanding of Scaling Frameworks and Business Agility: A Summary of the 6th International Workshop at XP2018. - Abhay Sharma, Ananya Nandan, Reetika Ralhan:
An Investigation of Supervised Learning Methods for Authorship Attribution in Short Hinglish Texts using Char & Word N-grams. - Yana Kraeva, Mikhail L. Zymbler:
The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor. - Yiheng Liu, Zhenxun Yuan, Wengang Zhou, Houqiang Li:
Spatial and Temporal Mutual Promotion for Video-based Person Re-identification. - Jingting Li, Catherine Soladié, Renaud Séguier, Su-Jing Wang, Moi Hoon Yap:
Spotting Micro-Expressions on Long Videos Sequences. - Ali M. Al-Salim, Taisir E. H. El-Gorashi, Ahmed Q. Lawey, Jaafar M. H. Elmirghani
Greening Big Data Networks: The Impact of Veracity. - Harshavardhan P. K, Kousik Krishnan:
Hierarchical Genetic Algorithms with evolving objective functions. - Fotis Iliopoulos, Alistair Sinclair:
Efficiently list-edge coloring multigraphs asymptotically optimally. - Milan Dojchinovski, Julio Hernandez, Markus Ackermann, Amit Kirschenbaum, Sebastian Hellmann:
DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus. - Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu:
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image. - Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka:
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs. - Doney Alex, Zishan Sami, Sumandeep Banerjee, Subrat Panda:
Cluster Loss for Person Re-Identification. - ElMouatez Billah Karbab, Mourad Debbabi:
Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports. - Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi:
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition. - Awais Mansoor, Antonio R. Porras, Marius George Linguraru:
Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection. - Sergey Victorovich Belim, Svetlana Yuryevna Belim:
Implementation of Simplex Channels in the Blom's Keys Pre-Distribution Scheme. - Christopher Hannon, Dong Jin:
Bitcoin Payment-channels for Resource Limited IoT Devices. - Haoyang Wu:
Profitable Bayesian implementation. - Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Learning Not to Learn: Training Deep Neural Networks with Biased Data. - M. Altay Karamuftuoglu, Ali Bozbey:
Ultrahigh Speed Artificial Neuron Compatible with Standard Foundry Processes and SFQ Cells. - R. Chulaka Gunasekara, David Nahamoo, Lazaros C. Polymenakos, Jatin Ganhotra, Kshitij P. Fadnis:
Quantized-Dialog Language Model for Goal-Oriented Conversational Systems. - Lior Bracha, Gal Chechik:
Informative Object Annotations: Tell Me Something I Don't Know. - Abdelmonim Naway, Yuancheng Li:
A Review on The Use of Deep Learning in Android Malware Detection. - Seth Ahrenbach:
Reasoning About Safety-Critical Information Flow Between Pilot and Computer. - Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard:
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images. - Polina Lemenkova
Urban-Rural Environmental Gradient in a Developing City: Testing ENVI GIS Functionality. - Iza Marfisi-Schottman
Extraire et r{é}utiliser des patrons de conception {à} partir de Learning Games existants. - Ehsan Khan, Avishek Choudhury, Amy L. Friedman, Daehan Won:
Decision Support System for Renal Transplantation. - Zi Yin, Vin Sachidananda, Balaji Prabhakar:
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation. - Avishek Choudhury, Y. M. S. Al Wesabi, Daehan Won:
Classification of Cervical Cancer Dataset. - Avishek Choudhury
Identification of Cancer - Mesothelioma Disease Using Logistic Regression and Association Rule. - Polina Lemenkova
Data Sharing, Distribution and Updating Using Social Coding Community Github and LaTaX Packages in Graduate Research. - Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Roman Kataev, Grigory V. Osipov:
ECG Segmentation by Neural Networks: Errors and Correction. - Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze:
Same but Different: Distant Supervision for Predicting and Understanding Entity Linking Difficulty. - Afsaneh Doryab, Prerna Chikarsel, Xinwen Liu, Anind K. Dey:
Extraction of Behavioral Features from Smartphone and Wearable Data. - Etienne Valette
Toward an Anthropocentric Approach for Hybrid Control Architectures: Case of a Furniture Factory. - Maria De-Arteaga, Amanda Coston, William Herlands:
Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact. - Aous Karoui, Iza Marfisi-Schottman, Sébastien George:
Éléments pour la conception de Jeux Éducatifs sur Mobile. - Bertie Vidgen, Taha Yasseri:
Detecting weak and strong Islamophobic hate speech on social media. - Denis Sedov, Zhirong Yang:
Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition. - Sebastian J. Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J. Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway:
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. - Frauke Wiese, Ingmar Schlecht, Wolf-Dieter Bunke, Clemens Gerbaulet, Lion Hirth, Martin Jahn, Friedrich Kunz, Casimir Lorenz, Jonathan Mühlenpfordt, Juliane Reimann, Wolf-Peter Schill:
Open Power System Data - Frictionless data for electricity system modelling. - Marko Valentin Micic, Hugo Chu:
Hyperbolic Deep Learning for Chinese Natural Language Understanding. - Maria Barbati, José Rui Figueira, Salvatore Greco, Alessio Ishizaka, Simona Panaro:
A multiple criteria methodology for prioritizing and selecting portfolios of urban projects. - Siddique Latif, Adnan Qayyum, Muhammad Usman, Junaid Qadir:
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages. - Charles Shen, Feniosky Peña-Mora:
Blockchain for Cities - A Systematic Literature Review. - Halima Akhter, Nazmus Saquib, Deeni Fatiha:
Studying oppressive cityscapes of Bangladesh. - Martin Beck, Florian Dumpert, Jörg Feuerhake:
Machine Learning in Official Statistics. - Suneth Ranasinghe, Horst Pichler, Johann Eder:
Report on Data Quality in Biobanks: Problems, Issues, State-of-the-Art. - Navid Rekabsaz, Allan Hanbury:
An Unbiased Approach to Quantification of Gender Inclination using Interpretable Word Representations. - Vinod Kumar Chauhan
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. - Lucas Giovanni Nardo, Arthur Mendes Lima, Erivelton Geraldo Nepomuceno, Janier Arias-Garcia:
Image Encryption Algorithm Using Natural Interval Extensions. - Vijay K. Garg:
Applying Predicate Detection to the Constrained Optimization Problems. - Mostafa Tavassolipour, Armin Karamzade, Reza Mirzaeifard, Seyed Abolfazl Motahari, Mohammad Taghi Manzuri Shalmani:
Structure Learning of Sparse GGMs over Multiple Access Networks. - Sergey Victorovich Belim, Svetlana Yuryevna Belim:
Use the Keys Pre-Distribution KDP-scheme for Mandatory Access Control Implementation. - Baturalp Buyukates, Alkan Soysal, Sennur Ulukus:
Age of Information in Multihop Multicast Networks. - Jinyuan Chen, Chunhua Geng:
Optimal Secure GDoF of Symmetric Gaussian Wiretap Channel with a Helper. - Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplications. - Mikel Artetxe, Holger Schwenk:
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. - Miaolei He, Jilin He:
Modeling and Robust Attitude Controller Design for a Small Size Helicopter. - Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Restoration. - Shervin Minaee, AmirAli Abdolrashidi:
Finger-GAN: Generating Realistic Fingerprint Images Using Connectivity Imposed GAN. - Ahmed S. Almasoud, Maged M. Eljazzar, Farookh Khadeer Hussain:
Toward a self-learned Smart Contracts. - Avishek Choudhury, Sunanda Perumalla:
Cardiology Admissions from Catheterization Laboratory: Time Series Forecasting. - Avishek Choudhury:
Early Prediction of Post-acute Care Discharge Disposition Using Predictive Analytics: Preponing Prior Health Insurance Authorization Thus Reducing the Inpatient Length of Stay. - Vijay K. Garg:
Removing Sequential Bottleneck of Dijkstra's Algorithm for the Shortest Path Problem. - Md Arquam, Anurag Singh, Rajesh Sharma:
A blockchain based Secure and Trusted framework for Information Propagation on Online Social Networks. - Dmitrij Gendler, Christian Eisele, Dirk Seiffer, Norbert Wendelstein:
Derivation of an Algorithm for Calculation of the Intersection Area of a Circle with a Grid with Finite Fill Factor. - Mohamed Salman, Mahesh K. Varanasi:
Capacity Results for the K-User Broadcast Channel with Two Nested Multicast Messages. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Flavia Di Costa:
Specialization vs diversification in research activities: the extent, intensity and relatedness of field diversification by individual scientists. - Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars:
Exploring the Challenges towards Lifelong Fact Learning. - Mohamed Salman, Mahesh K. Varanasi:
An Achievable Rate Region for Two Groupcast Messages over the K-User Broadcast Channel and Capacity Results for the Combination Network. - Lichao Sun, Ji Wang, Philip S. Yu, Bo Li:
Adversarial Attack and Defense on Graph Data: A Survey. - Yago Diez, Marta Fort, Matias Korman, Joan Antoni Sellarès:
Group evolution patterns in running races. - Anil Kumar Vadathya, Sharath Girish, Kaushik Mitra:
A Unified Learning Based Framework for Light Field Reconstruction from Coded Projections. - Abdelmoula Khdoudi, Tawfik Masrour:
Prediction of Industrial Process Parameters using Artificial Intelligence Algorithms. - Saeed Nozhati, Yugandhar Sarkale, Bruce R. Ellingwood, Edwin K. P. Chong, Hussam Mahmoud:
An approximate dynamic programming approach to food security of communities following hazards. - Himanshu Sharma, Umesh Vaidya, Baskar Ganapathysubramanian:
A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty. - Daniel A. Galron, Yuri M. Brovman, Jin Chung, Michal Wieja, Paul Wang:
Deep Item-based Collaborative Filtering for Sparse Implicit Feedback. - Marc Everett Johnson:
Automatic Summarization of Natural Language. - Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin:
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks. - Niv Derech, Ayellet Tal, Ilan Shimshoni:
Solving Archaeological Puzzles. - Minh Ngô, Burak Mandira, Selim Firat Yilmaz, Ward Heij, Sezer Karaoglu, Henri Bouma, Hamdi Dibeklioglu, Theo Gevers:
Deception Detection by 2D-to-3D Face Reconstruction from Videos. - Jack Wang:
The Prophet Inequality Can Be Solved Optimally with a Single Set of Samples. - Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari:
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees. - Yongjoo Park, Shucheng Zhong, Barzan Mozafari:
QuickSel: Quick Selectivity Learning with Mixture Models. - Saurabh Sihag, Ali Tajer:
Secure Estimation under Causative Attacks. - Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato:
Deconfounding Reinforcement Learning in Observational Settings. - Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. - Truong X. Nghiem:
Linearized Gaussian Processes for Fast Data-driven Model Predictive Control. - Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh, Grigory Yaroslavtsev:
Hierarchical Clustering for Euclidean Data. - Sungheon Lim, Hyogon Kim:
Extending TCP for Accelerating Replication on Cluster File Systems over SDNs. - Bai Xue, Qiuye Wang, Naijun Zhan, Shijie Wang, Zhikun She:
Synthesizing Robust Domains of Attraction for State-Constrained Perturbed Polynomial Systems. - Chaobo Zhang, Chih-Chen Chang, Maziar Jamshidi:
Bridge Damage Detection using Single-Stage Detector and Field Inspection Images. - Robert J. Ravier:
Eyes on the Prize: Improved Registration via Forward Propagation. - Sheikh Muhammad Saiful Islam, Md. Mahedi Hasan, Sohaib Abdullah:
Deep Learning based Early Detection and Grading of Diabetic Retinopathy Using Retinal Fundus Images. - Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction. - Ilia A. Lebedev, Kyle Hogan, Jules Drean, David Kohlbrenner, Dayeol Lee, Krste Asanovic, Dawn Song, Srinivas Devadas:
Sanctorum: A lightweight security monitor for secure enclaves. - Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song:
Double Neural Counterfactual Regret Minimization. - Qing Ke:
Identifying translational science through embeddings of controlled vocabularies. - Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song:
Neural Model-Based Reinforcement Learning for Recommendation. - Alex Frid, Larry M. Manevitz:
Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia. - Xiaorui Wu, Hong Xu, Bo Li, Yongqiang Xiong:
Stanza: Distributed Deep Learning with Small Communication Footprint. - Amber Nigam, Prashik Sahare, Kushagra Pandya:
Intent Detection and Slots Prompt in a Closed-Domain Chatbot. - Tatsuhiko Hatanaka, Takehiro Ito, Xiao Zhou:
Complexity of Reconfiguration Problems for Constraint Satisfaction. - Abhijit Balaji, Thuvaarakkesh Ramanathan, Venkateshwarlu Sonathi:
Chart-Text: A Fully Automated Chart Image Descriptor. - Wonbong Jang:
Sampling Using Neural Networks for colorizing the grayscale images. - Alon Brutzkus, Oren Elisha, Ran Gilad-Bachrach:
Low Latency Privacy Preserving Inference. - Thomas Fossati, Pedro A. Aranda-Gutiérrez, Diego R. López:
We all do better when we work together? - Quentin de Laroussilhe, Stanislaw Jastrzebski, Neil Houlsby, Andrea Gesmundo:
Neural Architecture Search Over a Graph Search Space. - Álvaro López García, Enol Fernández-del-Castillo, Isabel Campos Plasencia:
An efficient cloud scheduler design supporting preemptible instances. - Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine:
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. - Nasreddine Benbelkacem, Martianus Frederic, Taher Abualrub, Aicha Batoul:
Skew Cyclic Codes Over F4R. - Xiaoqiao Chen, Qingyi Zhang, Manhui Lin, Guangyi Yang, Chu He:
No-Reference Color Image Quality Assessment: From Entropy to Perceptual Quality. - Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman:
Surface Networks via General Covers. - Long Zhang, Martin Monperrus:
TripleAgent: Monitoring, Perturbation And Failure-obliviousness for Automated Resilience Improvement in Java Applications. - Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit:
S4-Net: Geometry-Consistent Semi-Supervised Semantic Segmentation. - Svitlana Vakulenko, Kate Revoredo, Claudio Di Ciccio, Maarten de Rijke:
QRFA: A Data-Driven Model of Information-Seeking Dialogues. - Aleksandr Pilgun, Olga Gadyatskaya, Stanislav Dashevskyi, Yury Zhauniarovich, Artsiom Kushniarou:
Fine-grained Code Coverage Measurement in Automated Black-box Android Testing. - Abdullah M. Zyarah, Dhireesha Kudithipudi:
Neuromemrisitive Architecture of HTM with On-Device Learning and Neurogenesis. - Anna Kokolaki, Yannis Tzitzikas:
Facetize: An Interactive Tool for Cleaning and Transforming Datasets for Facilitating Exploratory Search. - Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen:
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis. - Hichem Sahbi:
Finite State Machines for Semantic Scene Parsing and Segmentation. - Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-the-grid model based deep learning (O-MODL). - Anna Mpanti, Stavros D. Nikolopoulos, Iosif Polenakis:
Malicious Software Detection and Classification utilizing Temporal-Graphs of System-call Group Relations. - Ahto Buldas, Olga Gadyatskaya, Aleksandr Lenin
Attribute Evaluation on Attack Trees with Incomplete Information. - Chandra Khatri, Behnam Hedayatnia, Anu Venkatesh, Jeff Nunn, Yi Pan, Qing Liu, Han Song, Anna Gottardi, Sanjeev Kwatra, Sanju Pancholi, Ming Cheng, Qinglang Chen, Lauren Stubel, Karthik Gopalakrishnan, Kate Bland, Raefer Gabriel, Arindam Mandal, Dilek Hakkani-Tür, Gene Hwang, Nate Michel, Eric King, Rohit Prasad:
Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize. - Shen-Huan Lv, Lu Wang
Optimal Margin Distribution Network. - Meysam Madadi, Hugo Bertiche, Sergio Escalera:
SMPLR: Deep SMPL reverse for 3D human pose and shape recovery. - Alantha Newman:
Complex Semidefinite Programming and Max-k-Cut. - Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk:
Learning How to Mutate Source Code from Bug-Fixes. - Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari:
3D Point-Capsule Networks. - Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós, Pablo Carballeira:
Semantic Driven Multi-Camera Pedestrian Detection. - Shayne O'Brien, Matthew Groh, Abhimanyu Dubey:
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. - Congcong Wang, Vivek Sharma, Yu Fan, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle, Rainer Stiefelhagen:
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? - Talha Ahmad Siddiqui, Samarth Bharadwaj:
Future semantic segmentation of time-lapsed videos with large temporal displacement. - Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani:
Hyperspectral Unmixing Based on Clustered Multitask Networks. - Daniel Fullmer, A. Stephen Morse:
Analysis of Difficulty Control in Bitcoin and Proof-of-Work Blockchains. - Rashid Bakirov, Bogdan Gabrys
Generic adaptation strategies for automated machine learning. - Giulio Guerrieri:
Towards a Semantic Measure of the Execution Time in Call-by-Value lambda-Calculus (Long Version). - Dekel Tsur:
Above guarantee parameterization for vertex cover on graphs with maximum degree 4. - Husheng Zhou, Wei Li, Yuankun Zhu, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu:
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems. - Jan Kowollik, Ahmet Aker:
Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network. - Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Classification of radiology reports by modality and anatomy: A comparative study. - Yazan H. Al-Badarneh, Costas N. Georghiades, Redha M. Radaydeh, Mohamed-Slim Alouini
On the Secrecy Performance of Generalized User Selection for Interference-Limited Multiuser Wireless Networks. - Osama Haq, Cody Doucette, John W. Byers, Fahad R. Dogar:
CASPR: Judiciously Using the Cloud for Wide-Area Packet Recovery. - Qiqin Dai, Henry Chopp, Emeline Pouyet, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction. - Alexandre M. Bayen, Jesse Goodman, Eugene Vinitsky:
On the Approximability of Time Disjoint Walks. - Rachid Guerraoui, Petr Kuznetsov, Matteo Monti, Matej Pavlovic, Dragos-Adrian Seredinschi:
AT2: Asynchronous Trustworthy Transfers. - Gerrit Großmann, Verena Wolf:
Rejection-Based Simulation of Stochastic Spreading Processes on Complex Networks. - Martin Potthast, Tim Gollub, Matthias Hagen, Benno Stein:
The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength. - Pavel Surynek:
A Summary of Adaptation of Techniques from Search-based Optimal Multi-Agent Path Finding Solvers to Compilation-based Approach. - Melanie Schmidt, Chris Schwiegelshohn, Christian Sohler:
Fair Coresets and Streaming Algorithms for Fair k-Means Clustering. - Tiep Huu Vu:
Signal Classification under structure sparsity constraints. - Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen:
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. - Masahito Hayashi:
Secure Modulo Sum via Multiple Access Channel. - Jarrod Trevathan, Claire Aitkenhead, Nazia Majadi, Wayne Read:
Detecting Multiple Seller Collusive Shill Bidding. - Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran:
Hypergraph Clustering: A Modularity Maximization Approach. - Lu Lu, Xiaomin Yang, Wei Wu:
Diffusion multi-rate LMS algorithm for acoustic sensor networks. - Ryan Shah, Shishir Nagaraja:
Do we have the time for IRM?: Service denial attacks and SDN-based defences. - Longlong Jing, Yucheng Chen, Yingli Tian:
Coarse-to-fine Semantic Segmentation from Image-level Labels. - Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. - Kenichi Asai, Mark R. Shinwell:
Proceedings ML Family Workshop / OCaml Users and Developers workshops, ML/OCAML 2016, Nara, Japan, September 22-23, 2016. EPTCS 285, 2018 [contents] - Hoang-Quoc Nguyen-Son, Ngoc-Dung T. Tieu, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Identifying Computer-Translated Paragraphs using Coherence Features. - Kushal Shah:
Open-endedness in AI systems, cellular evolution and intellectual discussions. - Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Knowledge Representation Learning: A Quantitative Review. - Matthew Q. Hill, Connor J. Parde, Carlos Domingo Castillo, Y. Ivette Colon, Rajeev Ranjan, Jun-Cheng Chen, Volker Blanz, Alice J. O'Toole:
Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed. - Ziyu Wang, Gus Xia:
A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement. - Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao:
On Computation and Generalization of GANs with Spectrum Control. - Vladimir Ivashkin, Vadim Lebedev:
Spatiotemporal Data Fusion for Precipitation Nowcasting. - Moni Naor, Merav Parter, Eylon Yogev:
The Power of Distributed Verifiers in Interactive Proofs. - Xuan Liu, Xiaoguang Wang, Stan Matwin:
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. - Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
HUOPM: High Utility Occupancy Pattern Mining. - Shahar Admati, Lior Rokach, Bracha Shapira:
Wikibook-Bot - Automatic Generation of a Wikipedia Book. - Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. - Tobias D. Krafft, Michael Gamer, Katharina Anna Zweig:
What did you see? Personalization, regionalization and the question of the filter bubble in Google's search engine. - Torben Hagerup:
Fast Breadth-First Search in Still Less Space. - Carmelo Interlando, Karan Khathuria, Nicole Rohrer, Joachim Rosenthal, Violetta Weger
Generalization of the Ball-Collision Algorithm. - (Withdrawn) Salient Object Detection via High-to-Low Hierarchical Context Aggregation.
- Mikhail L. Zymbler:
Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems. - Sergey Victorovich Belim, Nadezda F. Bogachenko, A. N. Kabanov:
A Precedent Approach to Assigning Access Rights. - Sylvain Lamprier:
A Variational Topological Neural Model for Cascade-based Diffusion in Networks. - Yuance Liu, Michael Z. Q. Chen:
TROVE Feature Detection for Online Pose Recovery by Binocular Cameras. - Bilel Benjdira, Taha Khursheed, Anis Koubaa, Adel Ammar, Kaïs Ouni:
Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3. - Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu:
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. - Nieves R. Brisaboa, Adrián Gómez-Brandón, Miguel A. Martínez-Prieto, José R. Paramá:
A Grammar-based Compressed Representation of 3D Trajectories. - Sandra Álvarez-García, Borja Freire, Susana Ladra, Oscar Pedreira:
Compact and Efficient Representation of General Graph Databases. - Marko Miladinovic, Predrag Zivadinovic:
Vilin: Unconstrained Numerical Optimization Application. - Rudolf Hanel, Stefan Thurner:
The role of grammar in transition-probabilities of subsequent words in English text. - Preeti Gopal, Sharat Chandran, Imants D. Svalbe, Ajit Rajwade:
Learning from past scans: Tomographic reconstruction to detect new structures. - Thomas Powell:
Sequential algorithms and the computational content of classical proofs. - Jingkuan Song, Xiangpeng Li, Lianli Gao, Heng Tao Shen:
Hierarchical LSTMs with Adaptive Attention for Visual Captioning. - Hang Zhou
Deflecting 3D Adversarial Point Clouds Through Outlier-Guided Removal. - Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis:
Exploring Weight Symmetry in Deep Neural Network. - Avishek Choudhury, Christopher M. Greene:
Evaluating Patient Readmission Risk: A Predictive Analytics Approach. - Fathi Hassine:
Rapid exponential stabilization of a 1-D transmission wave equation with in-domain anti-damping. - Dawei Li, Tian Ding, Ruoyu Sun:
Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations. - Aditya Dendukuri, Khoa Luu
Image Processing in Quantum Computers. - Denis Antipov, Benjamin Doerr:
A Tight Runtime Analysis for the (μ+ λ) EA. - Giorgio Battistelli, Luigi Chisci, Nicola Forti, Stefano Gherardini:
MAP moving horizon estimation for threshold measurements with application to field monitoring. - Fahad Shamshad, Farwa Abbas, Ali Ahmed:
Deep Ptych: Subsampled Fourier Ptychography using Generative Priors. - Soheil Mohseni
A Multi-Agent Approach to Optimal Sizing of a Combined Heating and Power Microgrid. - Anna Mpanti, Stavros D. Nikolopoulos, Leonidas Palios:
Characterizing Watermark Numbers encoded as Reducible Permutation Graphs against Malicious Attacks. - Zhi Chai, Roy Shilkrot:
Enhanced Touchable Projector-depth System with Deep Hand Pose Estimation. - Tuomas Haarnoja, Aurick Zhou, Sehoon Ha, Jie Tan, George Tucker, Sergey Levine:
Learning to Walk via Deep Reinforcement Learning. - Vincent Adam
Scalable GAM using sparse variational Gaussian processes. - Abhishek Kr Singh, Raja Natarajan:
Towards a constructive formalization of Perfect Graph Theorems. - Bogdan S. Chlebus, Vicent Cholvi, Dariusz R. Kowalski:
Stability of Adversarial Routing with Feedback. - Elena A. Petrova, Arseny M. Shur:
Transition Property For Cube-Free Words. - Zuzana Haniková:
Blind proxy voting. - Govind Aadithya R, Shravan Krishnan
Online Decentralized Receding Horizon Trajectory Optimization for Multi-Robot systems. - Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn:
Differential Temporal Difference Learning. - Christopher Thomas, Adriana Kovashka:
Artistic Object Recognition by Unsupervised Style Adaptation. - Guy Marshall
The Diagrammatic AI Language (DIAL): Version 0.1. - Zeeshan Lakhani, Heather Miller:
Clippy(ing) Network Functions: Towards Better Abstractions for Checking and Designing Network Programs. - Elias Koutsoupias, Philip Lazos:
Online Trading as a Secretary Problem. - Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal:
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. - Md. Abu Layek, Sanjida Afroz, TaeChoong Chung, Eui-Nam Huh:
Center Emphasized Visual Saliency and Contrast-based Full Reference Image Quality Index. - Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. - Yoonchang Sung, Ashish Kumar Budhiraja, Ryan K. Williams, Pratap Tokekar:
Distributed Assignment with Limited Communication for Multi-Robot Multi-Target Tracking. - Patrick J. Andersen, Charl J. Ras:
Degree Bounded Bottleneck Spanning Trees in Three Dimensions. - Louis Annabi, Michaël Garcia Ortiz:
State representation learning with recurrent capsule networks. - Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis in CT Images. - Antoni Buades, Joan Duran:
CFA Bayer image sequence denoising and demosaicking chain. - Adrian Cosma, Ion Emilian Radoi, Valentin Radu:
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras. - Mathieu Andreux
Kymatio: Scattering Transforms in Python. - Zhonghua Han, Zhenbo Wu, Shuo Lin, Fangjun Luan:
An intelligent household greenhouse system design based on Internet of Things. - Norman L. Tasfi, Miriam A. M. Capretz:
Dynamic Planning Networks. - Jinho Choi:
NOMA-based Compressive Random Access using Gaussian Spreading. - Nieves R. Brisaboa, Diego Caro, Antonio Fariña, M. Andrea Rodríguez:
Using Compressed Suffix-Arrays for a Compact Representation of Temporal-Graphs. - Nieves R. Brisaboa, Antonio Fariña, Daniil Galaktionov, M. Andrea Rodríguez:
A Compact Representation for Trips over Networks built on self-indexes. - Haofeng Jia, Erik Saule:
Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems. - Faisal N. Abu-Khzam, Bachir M. Chahine:
A Dynamically Turbo-Charged Greedy Heuristic for Graph Coloring. - Md. S. Q. Zulkar Nine, Tevfik Kosar:
A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers. - Brittany Terese Fasy, Xiaozhou He, Zhihui Liu, Samuel Micka, David L. Millman
Approximate Nearest Neighbors in the Space of Persistence Diagrams. - So Mang Han, Taylor Okonek, Nikesh Yadav, Xiaojun Zheng:
Distributions of Matching Distances in Topological Data Analysis. - Lianfa Li, Ying Fang, Jun Wu, Jinfeng Wang:
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation. - Fengyou Sun:
Dependence Control at Large. - Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. - Yizhi Zhao, Hongmei Chi:
Strong Security Polar Coding with Delayed Wiretap Channel State Information. - Hui Li, Qingchao Li
The Crossover-Distance for ISI-Correcting Decoding of Convolutional Codes in Diffusion-Based Molecular Communications. - Dat Quoc Nguyen, Karin Verspoor:
End-to-end neural relation extraction using deep biaffine attention. - Zhao Yang, Song Bai, Li Zhang, Philip H. S. Torr:
Learn to Interpret Atari Agents. - Chong Zhang, Gongpu Wang, Panagiotis D. Diamantoulakis, Feifei Gao, George K. Karagiannidis:
Interference-Free Transceiver Design and Signal Detection for Ambient Backscatter Communication Systems over Frequency-Selective Channels. - Zhongang Cai, Cunjun Yu, Quang-Cuong Pham:
3D Convolution on RGB-D Point Clouds for Accurate Model-free Object Pose Estimation. - Zhuojia Gu, Hancheng Lu, Daren Zhu, Yujiao Lu:
Joint Power Allocation and Caching Optimization in Fiber-Wireless Access Networks. - Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi:
Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis. - Yash Bhalgat, Meet P. Shah, Suyash P. Awate:
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks. - Dan Wang, Mengqi Ji, Yong Wang, Haoqian Wang, Lu Fang:
SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization. - Xuechen Li, Yinlong Liu, Yiru Wang, Chen Wang, Manning Wang, Zhijian Song:
Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition. - Yuichi Sudo, Fukuhito Ooshita, Taisuke Izumi, Hirotsugu Kakugawa, Toshimitsu Masuzawa:
Logarithmic Expected-Time Leader Election in Population Protocol Model. - Yiming Shen, Kehan Yang, Yufeng Yuan, Simon Cheng Liu:
Meta Reinforcement Learning with Distribution of Exploration Parameters Learned by Evolution Strategies. - Karen Leung, Edward Schmerling, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. - Bodhisatwa Barma, Samrat Ghosh, Abhrodip Chaudhury, Biswarup Ganguly:
Microcontroller Based Robotic Arm Development for Library Management System. - Xiaobo Wang, Shuo Wang, Shifeng Zhang, Tianyu Fu, Hailin Shi, Tao Mei:
Support Vector Guided Softmax Loss for Face Recognition. - Yang Liu, Ajay Kumar:
A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild. - Ningyu Zhang
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction. - Yong Niu, Weiguang Ding, Hao Wu, Yong Li, Xinlei Chen, Bo Ai, Zhangdui Zhong:
Relay-Assisted and QoS Aware Scheduling to Overcome Blockage in mmWave Backhaul Networks. - Weiguang Ding, Yong Niu, Hao Wu, Yong Li, Zhangdui Zhong:
QoS-aware Full-duplex Concurrent Scheduling for Millimeter Wave Wireless Backhaul Networks. - Yusuke Yoshiyasu, Ryusuke Sagawa, Ko Ayusawa, Akihiko Murai:
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image. - Jean-Lou De Carufel, Adrian Dumitrescu, Wouter Meulemans, Tim Ophelders, Claire Pennarun, Csaba D. Tóth, Sander Verdonschot:
Convex Polygons in Cartesian Products. - Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. - Grégoire Nieto, Frédéric Devernay, James L. Crowley:
Rendu basé image avec contraintes sur les gradients. - Fotis Savva, Christos Anagnostopoulos
Explaining Aggregates for Exploratory Analytics. - Satyam Agarwal, Francesco Malandrino, Carla-Fabiana Chiasserini, Swades De:
VNF Placement and Resource Allocation for the Support of Vertical Services in 5G Networks. - Houjing Huang, Wenjie Yang, Xiaotang Chen, Xin Zhao, Kaiqi Huang, Jinbin Lin, Guan Huang, Dalong Du:
EANet: Enhancing Alignment for Cross-Domain Person Re-identification. - Mykyta Viazovskyi, Michal Certický:
StarAlgo: A Squad Movement Planning Library for StarCraft using Monte Carlo Tree Search and Negamax. - Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang:
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack. - Junkun Qi, Wei Hu, Zongming Guo:
Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph. - Fathi M. Salem:
SLIM LSTMs. - Konstantinos Solomos, Panagiotis Ilia, Sotiris Ioannidis, Nicolas Kourtellis:
Cross-Device Tracking: Systematic Method to Detect and Measure CDT. - Andreas Varga:
On Checking Null Rank Conditions of Rational Matrices. - Sergey Victorovich Belim, Nadezda F. Bogachenko, A. N. Kabanov:
Severity Level of Permissions in Role-Based Access Control. - Jiankang Zhang, Sheng Chen, Xinying Guo, Jia Shi, Lajos Hanzo:
Boosting Fronthaul Capacity: Global Optimization of Power Sharing for Centralized Radio Access Network. - Bibek Paudel, Sandro Luck, Abraham Bernstein:
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality. - Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski, Kael Rowan:
EMMA: An Emotionally Intelligent Personal Assistant for Improving Wellbeing. - Christos Liaskos, Ageliki Tsioliaridou, Shuai Nie, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
Modeling, Simulating and Configuring Programmable Wireless Environments for Multi-User Multi-Objective Networking. - Tahsin Mayeesha, Zareen Tasneem, Jasmine Jones, Nova Ahmed:
Applying Text Mining to Protest Stories as Voice against Media Censorship. - Robert B. Allen:
Issues for Using Semantic Modeling to Represent Mechanisms. - Wasiur R. KhudaBukhsh
A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity. - Irina Sánchez, Verónica Vilaplana:
Brain MRI super-resolution using 3D generative adversarial networks. - Juraj Persic:
Calibration of Heterogeneous Sensor Systems. - Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon:
Greedy Layerwise Learning Can Scale to ImageNet. - Sixie Yu, Yevgeniy Vorobeychik:
Removing Malicious Nodes from Networks. - Himangshu Kalita, Steven D. Morad, Jekan Thangavelautham:
Coordination and Control of Multiple Climbing Robots in Transport of Heavy Loads through Extreme Terrain. - Dat Quoc Nguyen:
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing. - Chandni Saxena, Mohammad Najmud Doja, Tanvir Ahmad:
Stability of Local Information based Centrality Measurements under Degree Preserving Randomizations. - Salar Fattahi, Somayeh Sojoudi:
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis. - Mustafa Abdallah, Ashraf Mahgoub, Saurabh Bagchi, Somali Chaterji:
ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models. - Yauhen Leanidavich Arnatovich, Lipo Wang:
A Systematic Literature Review of Automated Techniques for Functional GUI Testing of Mobile Applications. - Hajar Falahati, Pejman Lotfi-Kamran, Mohammad Sadrosadati, Hamid Sarbazi-Azad:
ORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning. - Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi:
Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction. - Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu:
Machine learning in resting-state fMRI analysis. - Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification. - Chaojie Gu, Linshan Jiang, Rui Tan:
LoRa-Based Localization: Opportunities and Challenges. - Naoya Taguchi, Yoshimasa Tsuruoka:
Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks. - Pavlo Melnyk, Zhiqiang You, Keqin Li:
A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization. - Van-Phuc Bui, Phu X. Nguyen, Hieu V. Nguyen, Van-Dinh Nguyen, Oh-Soon Shin:
Optimal User Pairing for Achieving Rate Fairness in Downlink NOMA Networks. - Guangxu Zhu, Yong Wang, Kaibin Huang:
Low-Latency Broadband Analog Aggregation for Federated Edge Learning. - Juan Gerardo Alcázar, Jorge Caravantes, Gema M. Diaz-Toca, Elias P. Tsigaridas:
Computing the topology of a planar or space hyperelliptic curve. - Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu:
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences. - Yew-Soon Ong, Abhishek Gupta:
AIR5: Five Pillars of Artificial Intelligence Research. - Ramon Roca, Lluís Dalmau, Roger Baig, Leandro Navarro:
Universal network deployment model for universal connectivity. - Ümit Çavus Büyüksahin, Seyda Ertekin:
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition. - Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. - Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Tomás Pajdla:
Linear solution to the minimal absolute pose rolling shutter problem. - Jin-San Cheng, Xiaojie Dou, Junyi Wen:
A New Deflation Method For Verifying the Isolated Singular Zeros of Polynomial Systems. - Chandni Saxena, M. N. Doja, Tanvir Ahmad:
Group based Centrality for Immunization of Complex Networks. - Santosh Devasia:
Accelerated Consensus for Multi-Agent Networks through Delayed Self Reinforcement. - Bowen Yi
Smooth, Time-invariant Regulation of Nonholonomic Systems via Energy Pumping-and-Damping. - Jiangli Duan, Guoyin Wang, Xin Hu:
Mining Maximal Dynamic Spatial Co-Location Patterns. - Moses Ganardi:
Visibly Pushdown Languages over Sliding Windows. - Qiang Zhang, Shangsong Liang, Emine Yilmaz:
Variational Self-attention Model for Sentence Representation. - Marc Combalia, Verónica Vilaplana:
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. - Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft:
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. - Sandeep Silwal, Jonathan Tidor:
Spectral methods for testing cluster structure of graphs. - James R. Wright, Kevin Leyton-Brown:
Formalizing the Boundary Between Strategic and Nonstrategic Reasoning. - Jean Goubault-Larrecq:
A Probabilistic and Non-Deterministic Call-by-Push-Value Language. - Tarang Chugh, Anil K. Jain:
Fingerprint Presentation Attack Detection: Generalization and Efficiency. - Mahdi Nangir, Reza Asvadi, Jun Chen, Mahmoud Ahmadian-Attari, Tad Matsumoto:
Successive Wyner-Ziv Coding for the Binary CEO Problem under Logarithmic Loss. - Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López Codina:
Leishmaniasis Parasite Segmentation and Classification using Deep Learning. - Muhammad Moin Khan, Muhammad Kamran Malik:
Sentiment Classification of Customer Reviews about Automobiles in Roman Urdu. - Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana:
Cascaded V-Net using ROI masks for brain tumor segmentation. - Burçak Otlu, Tolga Can:
Joint Overlap Analysis of Multiple Genomic Interval Sets. - Krzysztof Pawelec, Robert A. Bridges, Frank L. Combs:
Towards a CAN IDS based on a neural-network data field predictor. - Marcel Menner, Peter Worsnop, Melanie N. Zeilinger:
Predictive Modeling by Infinite-Horizon Constrained Inverse Optimal Control with Application to a Human Manipulation Task. - Akash Kumar:
Solar Potential Analysis of Rooftops Using Satellite Imagery. - Mahamad Nabab Alam:
State-of-the-Art Economic Load Dispatch of Power Systems Using Particle Swarm Optimization. - Marius-Calin Silaghi, Arianit Maraj, Timothy Atkinson:
The Device War - The War Between IOT Brands In A Household. - Abbas Ganji, Mania Orand, David W. McDonald:
Ease on Down the Code: Complex Collaborative Qualitative Coding Simplified with 'Code Wizard'. - Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa, B. S. Manjunath:
Actor Conditioned Attention Maps for Video Action Detection. - Yinghui Ye, Liqin Shi, Xiaoli Chu
On the Outage Performance of SWIPT Based Three-step Two-way DF Relay Networks. - Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang:
Path-Invariant Map Networks. - Mhafuzul Islam, Mizanur Rahman, Sakib Mahmud Khan, Mashrur Chowdhury, Lipika Deka:
Connected Vehicle Application Development Platform (CVDeP) for Edge-centric Cyber-Physical Systems. - Oladele Theophilus Sule, Roberto Rojas-Cessa, Ziqian Dong, Chuan-Bi Lin:
A Split-Central-Buffered Load-Balancing Clos-Network Switch with In-Order Forwarding. - Sumit Jagdish Darak, Manjesh Kumar Hanawal:
Distributed Learning and Stable Orthogonalization in Ad-Hoc Networks with Heterogeneous Channels. - Salman Memon, Muthucumaru Maheswaran:
Using Machine Learning for Handover Optimization in Vehicular Fog Computing. - Giulia Sanfilippo, Olga Galinina, Sergey Andreev, Sara Pizzi, Giuseppe Araniti:
A Concise Review of 5G New Radio Capabilities for Directional Access at mmWave Frequencies. - Haluk Çelebi, Yavuz Yapici, Ismail Güvenç, Henning Schulzrinne:
Load-Based On/Off Scheduling for Energy-Efficient Delay-Tolerant 5G Networks. - Oleg Kiselyov, K. C. Sivaramakrishnan:
Eff Directly in OCaml. 23-58 - Florent Balestrieri, Michel Mauny:
Generic Programming in OCaml. 59-100 - Timothy Bourke, Jun Inoue, Marc Pouzet:
Sundials/ML: Connecting OCaml to the Sundials Numeric Solvers. 101-130 - Yulin Liu, Mark Hansen:
Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach. - Zhimin Zhang, Jianzhong Qiao, Shukuan Lin:
Unsupervised monocular stereo matching. - (Withdrawn) Soft-Autoencoder and Its Wavelet Shrinkage Interpretation.
- Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang:
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. - Rajan Iyengar, Victor Reyes Osorio, Presish Bhattachan, Adrian Ragobar, Bryan P. Tripp:
A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations. - Simone Gama, Rosiane de Freitas, Mário Salvatierra:
Choosability in bounded sequential list coloring. - Max Ehrlich, Larry S. Davis:
Deep Residual Learning in the JPEG Transform Domain. - Feng Yu, Xinhui Gong, Hanpeng Li, Xiaohong Zhao:
Differential cryptanalysis of image cipher using block-based scrambling and image filtering. - John Sherlock, Manoj Muniswamaiah, Lauren Clarke, Shawn Cicoria:
Open Source Software Opportunities and Risks. - Juan E. Tapia, Claudia Arellano, Ignacio Viedma:
Sex-Classification from Cell-Phones Periocular Iris Images. - Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan:
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks. - Basaran Bahadir Kocer, Volkan Kumtepeli, Tegoeh Tjahjowidodo, Mahardhika Pratama, Anshuman Tripathi, Gerald Seet Gim Lee, Youyi Wang:
UAV Control in Close Proximities - Ceiling Effect on Battery Lifetime. - Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu:
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. - Ilias Diakonikolas, Chrystalla Pavlou:
On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games. - Bai Xue, Qiuye Wang, Shenghua Feng, Naijun Zhan:
Over- and Under-Approximating Reachable Sets for Perturbed Delay Differential Equations. - Vasisht Duddu, Debasis Samanta, D. Vijay Rao, Valentina Emilia Balas:
Stealing Neural Networks via Timing Side Channels. - Xingguo Liu, Yinping Chen, Zhenming Peng, Juan Wu:
Total Variation with Overlapping Group Sparsity and Lp Quasinorm for Infrared Image Deblurring under Salt-and-Pepper Noise. - Yuriy Kochura, Yuri G. Gordienko, Vlad Taran
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases. - Charbel Sakr, Naresh R. Shanbhag:
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm. - Zhiyi Huang, Junliang Ye, Jiaqi Chen, Xiaohu Ge, Yonghui Li:
Vehicles to Pedestrians Signal Transmissions Based on Cloud Computing. - Xinhui Gong, Feng Yu, Xiaohong Zhao, Shihong Wang:
Security analysis of a self-embedding fragile image watermark scheme. - Alexander Kuhnle, Ann A. Copestake:
The meaning of "most" for visual question answering models. - Jionghao Lin, Yiren Liu:
A Neural Network Based Explainable Recommender System. - Tim French, Andrew Gozzard, Mark Reynolds:
A modal aleatoric calculus for probabilistic reasoning: extended version. - Tyler Crain, Christopher Natoli, Vincent Gramoli
Evaluating the Red Belly Blockchain. - Kai Yang, Tao Jiang, Yuanming Shi, Zhi Ding:
Federated Learning via Over-the-Air Computation. - Nikita Kitaev, Dan Klein:
Multilingual Constituency Parsing with Self-Attention and Pre-Training. - Shreya Ghosh, Abhinav Dhall, Nicu Sebe:
Predicting Group Cohesiveness in Images. - Alexander S. Kulikov, Ivan Mikhailin, Andrey Mokhov, Vladimir V. Podolskii:
Complexity of Linear Operators. - Uriel Feige:
Tighter bounds for online bipartite matching. - Dimitrios J. Vergados, Angelos Michalas, Katina Kralevska, Dimitrios D. Vergados:
Evaluation of HTTP/DASH Adaptation Algorithms on Vehicular Networks. - Fábio Perez, Rémi Lebret, Karl Aberer:
Cluster-Based Active Learning. - Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu:
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. - Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, Xiaowei Zhou:
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation. - Alin Bostan, Teresa Krick, Ágnes Szántó, Marcelo Valdettaro:
Subresultants of (x-α)m and (x-β)n, Jacobi polynomials and complexity. - Mohanad Obeed, Hayssam Dahrouj, Anas M. Salhab, Salam A. Zummo, Mohamed-Slim Alouini:
DC-Bias and Power Allocation in Cooperative VLC Networks for Joint Information and Energy Transfer. - Naoki Takeuchi, Masashi Aono, Yuko Hara-Azumi, Christopher L. Ayala:
A Circuit-Level Amoeba-Inspired SAT Solver. - Dennis M. M. Schunselaar, H. M. W. Verbeek:
Task Elimination may Actually Increase Throughput Time. - Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi:
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications. - Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev, Greg J. Stephens:
Pixel personality for dense object tracking in a 2D honeybee hive. - Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia:
BNN+: Improved Binary Network Training. - Wouter M. Kouw:
An introduction to domain adaptation and transfer learning. - Dimitrios Kosmanos, Antonios Argyriou, Leandros Maglaras:
Estimating the Relative Speed of RF Jammers in VANETs. - Andrea Giovanni Nuzzolese, Paolo Ciancarini, Aldo Gangemi, Silvio Peroni, Francesco Poggi, Valentina Presutti:
Do altmetrics work for assessing research quality? - Ryutaroh Matsumoto:
Rate-Distortion-Perception Tradeoff of Variable-Length Source Coding for General Information Sources. - Pradnya Kiri Taksande, Pranav Jha, Abhay Karandikar:
Dual Connectivity Support in 5G Networks: An SDN based approach. - Cihan Tugrul Cicek, Hakan Gultekin, Bülent Tavli, Halim Yanikomeroglu:
UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions. - Mattia G. Bergomi, Patrizio Frosini, Daniela Giorgi, Nicola Quercioli:
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning. - Zhibo Chen, Jianxin Lin, Tiankuang Zhou, Feng Wu:
Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration. - Peter Hillyard, Neal Patwari:
Never Use Labels: Signal Strength-Based Bayesian Device-Free Localization in Changing Environments. - Anushree Neogi, Prasanna Chaporkar, Abhay Karandikar:
Multi-Player Multi-Armed Bandit Based Resource Allocation for D2D Communications. - Adrián Riesco, Juan Rodríguez-Hortalá:
Property-based testing for Spark Streaming. - Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi:
Do GANs leave artificial fingerprints? - Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool:
Fast Perceptual Image Enhancement. - Daniel T. Chang:
Latent Variable Modeling for Generative Concept Representations and Deep Generative Models. - Eric Benhamou
A discrete version of CMA-ES. - Kaiyu Zheng, Andrzej Pronobis:
From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping. - Stefan Nagy, Matthew Hicks:
Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing. - Dimitrios Kosmanos, Dimitrios Karagiannis, Antonios Argyriou, Spyros Lalis, Leandros Maglaras:
RF Jamming Classification using Relative Speed Estimation in Vehicular Wireless Networks. - Weiyu Xu, Lifeng Lai, M. Amin Khajehnejad:
How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics: Optimal Strategies, Estimation Error Bounds Tighter than the Cramér-Rao Bound). - Mohamed Yousef, Khaled F. Hussain, Usama S. Mohammed:
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks. - Michael Robinson, Kevin I. Jones, Helge Janicke, Leandros Maglaras:
Developing Cyber Buffer Zones. - Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu:
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. - Dariusz R. Kowalski, Christopher Thraves Caro:
Randomized Rumor Spreading in Ad Hoc Networks with Buffers. - Joshua Brulé:
Whittemore: An embedded domain specific language for causal programming. - Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences. - Frank Drewes, Berthold Hoffmann, Mark Minas:
Formalization and Correctness of Predictive Shift-Reduce Parsers for Graph Grammars based on Hyperedge Replacement. - Amit Das, Jinyu Li, Guoli Ye, Rui Zhao, Yifan Gong:
Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units. - Ibraheem Alhashim, Peter Wonka:
High Quality Monocular Depth Estimation via Transfer Learning. - Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang:
On Optimal Locally Repairable Codes with Super-Linear Length. - Matthias Nickles:
Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization. - Menglei Zhang, Zhou Liu, Lei Yu:
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding. - Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter:
Learning to Design RNA. - Shakiba Yaghoubi, Georgios Fainekos:
Gray-box Adversarial Testing for Control Systems with Machine Learning Component. - Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib:
The role of visual saliency in the automation of seismic interpretation. - Slawomir Lasota:
VASS reachability in three steps. - Dmitry Yu. Maximov:
Game Semantics and Linear Logic in the Cognition Process. - Alexander Sax, Bradley Emi, Amir Zamir, Leonidas J. Guibas, Silvio Savarese, Jitendra Malik:
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks. - Qisheng Huang, Chunming Zhao, Ming Jiang, Xiaoming Li, Jing Liang:
Cascade-Net: a New Deep Learning Architecture for OFDM Detection. - Cencheng Shen, Joshua T. Vogelstein:
Decision Forests Induce Characteristic Kernels. - Jesse J. Berwald:
The Mathematics of Quantum-Enabled Applications on the D-Wave Quantum Computer. - Víctor Gallego, David Ríos Insua:
Stochastic Gradient MCMC with Repulsive Forces. - Danielle C. Maddix, Yuyang Wang, Alex Smola:
Deep Factors with Gaussian Processes for Forecasting. - Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao:
DVC: An End-to-end Deep Video Compression Framework. - François Grondin, François Michaud:
Lightweight and Optimized Sound Source Localization and Tracking Methods for Open and Closed Microphone Array Configurations. - Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan:
A Probabilistic Model of Cardiac Physiology and Electrocardiograms. - Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan:
Measuring the Stability of EHR- and EKG-based Predictive Models. - Juthika Mahanta, Subhasis Panda:
Fuzzy expert system for prediction of prostate cancer. - Kumar Sricharan, Kumar Kallurupalli, Ashok Srivastava:
Improving robustness of classifiers by training against live traffic. - Kumar Sricharan, Ashok Srivastava:
Building robust classifiers through generation of confident out of distribution examples. - Rui Ma, Sagnik Basumallik, Sara Eftekharnejad:
A PMU-based Multivariate Model for Classifying Power System Events. - Edmond Cunningham, Dana Schlegel, Andrew DeOrio:
Explainable Genetic Inheritance Pattern Prediction. - Mirco Ravanelli, Yoshua Bengio:
Learning Speaker Representations with Mutual Information. - Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
On Bi-Objective convex-quadratic problems. - Yongdai Kim, Dongha Kim:
On variation of gradients of deep neural networks. - Richard Scalzo, David Kohn, Hugo K. H. Olierook, Gregory Houseman, Rohitash Chandra, Mark A. Girolami, Sally Cripps:
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success. - Pierre Gillibert, Julius Jonusas, Michael Pinsker:
Pseudo-loop conditions. - Dimitris Bertsimas, Agni Orfanoudaki, Colin Pawlowski:
Imputation of Clinical Covariates in Time Series. - Ligin Solamen, Yipeng Shi, Justice Amoh:
Dual Objective Approach Using A Convolutional Neural Network for Magnetic Resonance Elastography. - Stefan Konigorski, Shahryar Khorasani, Christoph Lippert:
Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease. - Yonatan Gutman, Adam Spiewak:
Metric mean dimension and analog compression. - Soham R. Phade, Venkat Anantharam:
Optimal Resource Allocation over Networks via Lottery-Based Mechanisms. - Haimiao Zhang, Bin Dong, Baodong Liu:
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data. - Dimitris Bertsimas, Agni Orfanoudaki
Interpretable Clustering via Optimal Trees. - Xiaowu Dai, Yuhua Zhu:
Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent. - Viraj Shah, Chinmay Hegde:
Signal Reconstruction from Modulo Observations. - Sooahn Shin, Hyein Yang, Jong-Hee Park:
Twists and Turns in the US-North Korea Dialogue: Key Figure Dynamic Network Analysis using News Articles. - Stefan Reinhold, Timo Damm, Lukas Huber, Reimer Andresen, Reinhard Barkmann, Claus C. Glüer, Reinhard Koch:
An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT. - Shrinivas Chimmalgi, Peter J. Prins, Sander Wahls:
Fast Nonlinear Fourier Transform Algorithms Using Higher Order Exponential Integrators. - Aliaksandr Siarohin, Gloria Zen, Nicu Sebe, Elisa Ricci:
Enhancing Perceptual Attributes with Bayesian Style Generation. - Souma Mazumdar, Supriyo Dutta, Partha Guha:
Sharma-Mittal Quantum Discord. - Shahin Khobahi, Naveed Naimipour, Mojtaba Soltanalian, Yonina C. Eldar:
Deep Signal Recovery with One-Bit Quantization. - Steven Roberts, Arash Sarshar, Adrian Sandu:
Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales. - Maria Axenovich, Carsten Thomassen, Ursula Schade, Torsten Ueckerdt:
Planar Ramsey graphs. - Lukas Kiefer, Martin Storath, Andreas Weinmann:
Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements - the multivariate case. - Yibo Zeng, Fei Feng, Wotao Yin:
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Reinforcement Learning with Near-Optimal Sample Complexity. - Federico Giannoni, Marco Mancini, Federico Marinelli:
Anomaly Detection Models for IoT Time Series Data. - Milad Nasr, Reza Shokri, Amir Houmansadr:
Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks. - Woojin Kim, Facundo Mémoli:
Stable Persistent Homology Features of Dynamic Metric Spaces. - Abhishek Bhowmick, John C. Duchi, Julien Freudiger, Gaurav Kapoor, Ryan Rogers:
Protection Against Reconstruction and Its Applications in Private Federated Learning. - Enguerrand Horel, Virgile Mison, Tao Xiong, Kay Giesecke, Lidia Mangu:
Sensitivity based Neural Networks Explanations. - Rosanna Nichols, Lana Mineh, Jesús Rubio, Jonathan C. F. Matthews, Paul A. Knott:
Designing quantum experiments with a genetic algorithm. - Polina Lemenkova
R scripting libraries for comparative analysis of the correlation methods to identify factors affecting Mariana Trench formation. - Yu Zeng, Kebei Jiang, Jie Chen:
Automatic Seismic Salt Interpretation with Deep Convolutional Neural Networks. - Greg Kirczenow, Masoud Hashemi, Ali Fathi, Matt Davison:
Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds. - Kevin Schawinski, M. Dennis Turp, Ce Zhang:
Exploring galaxy evolution with generative models. - Javier del Valle, Juan Gabriel Ramírez, Marcelo J. Rozenberg, Ivan K. Schuller:
Challenges in materials and devices for Resistive-Switching-based Neuromorphic Computing. - Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury:
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks. - Tingjun Chen, Mahmood Baraani Dastjerdi, Jin Zhou, Harish Krishnaswamy, Gil Zussman:
Wideband Full-Duplex Wireless via Frequency-Domain Equalization: Design and Experimentation. - Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra:
Sequential Experiment Design for Hypothesis Verification. - Aditya Ramesh, Youngduck Choi, Yann LeCun:
A Spectral Regularizer for Unsupervised Disentanglement. - Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer, Jeremy Morton, Liqian Peng, Freddie D. Witherden:
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning. - Rui Luo, Qiang Zhang, Yuanyuan Liu:
Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling. - Yilin Zhang, Karl Rohe, Sebastien Roch:
Reducing Seed Bias in Respondent-Driven Sampling by Estimating Block Transition Probabilities. - Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang:
A Retrieve-and-Edit Framework for Predicting Structured Outputs. - Horace He, Aaron Lou, Qingxuan Jiang, Isay Katsman, Pian Pawakapan, Serge J. Belongie, Ser-Nam Lim:
Adversarial Example Decomposition. - Maurizio Tomasi, Mosè Giordano
Towards new solutions for scientific computing: the case of Julia. - Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen, Geert Leus, Alle-Jan van der Veen:
Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks. - Xiaofu Ma, Qinghai Gao, Ji Wang, Vuk Marojevic, Jeffrey H. Reed:
Dynamic Sounding for Multi-User MIMO in Wireless LANs. - Xiaofu Ma, Qinghai Gao, Vuk Marojevic, Jeffrey H. Reed:
Hypergraph matching for MU-MIMO user grouping in wireless LANs. - Giacomo Rapisardi, Guido Caldarelli, Giulio Cimini:
Numerical assessment of the percolation threshold using complement networks. - Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov:
Generative Models for Fast Calorimeter Simulation.LHCb case. - Igor V. Bychkov, Andrey Demichev, Julia Y. Dubenskaya, Oleg L. Fedorov, Aleksey E. Hmelnov, Yulia Kazarina, Elena Korosteleva, Dmitriy Kostunin, Alexander P. Kryukov, Andrey A. Mikhailov, Minh-Duc Nguyen, Stanislav Polyakov, Evgeny Postnikov, Alexey O. Shigarov, D. A. Shipilov, Dmitry P. Zhurov:
Using Binary File Format Description Languages for Documenting, Parsing, and Verifying Raw Data in TAIGA Experiment. - Christian Knoll, Florian Kulmer, Franz Pernkopf:
Self-Guided Belief Propagation - A Homotopy Continuation Method. - Srikanth Raj Chetupalli, Thippur V. Sreenivas:
LSTM based AE-DNN constraint for better late reverb suppression in multi-channel LP formulation. - Chenglei Niu, Guojing Zhong, Ying Liu, Yandong Zhang, Yongsheng Sun, Ailong He, Zhaoji Chen:
Unstructured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction. - Madelon A. de Kemp, Michel Mandjes, Neil Olver:
Performance of the smallest-variance-first rule in appointment sequencing. - Mauricio Araya, Maximiliano Osorio, Matías Díaz, Carlos Ponce, Martín Villanueva, Camilo Valenzuela, Mauricio Solar:
JOVIAL: Notebook-based Astronomical Data Analysis in the Cloud. - Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia:
Compositional Imitation Learning: Explaining and executing one task at a time. - Bronwyn Woods:
Expanding search in the space of empirical ML. - Suwon Shon, Ahmed Ali, James R. Glass:
Domain Attentive Fusion for End-to-end Dialect Identification with Unknown Target Domain. - Masayuki Ohzeki, Akira Miki, Masamichi J. Miyama, Masayoshi Terabe:
Control of automated guided vehicles without collision by quantum annealer and digital devices. - Ewan Davies, Rémi de Joannis de Verclos, Ross J. Kang, François Pirot:
Colouring triangle-free graphs with local list sizes. - E. B. Postnikov, Igor V. Bychkov, Julia Y. Dubenskaya, Oleg L. Fedorov, Y. A. Kazarina, Elena Korosteleva, Alexander P. Kryukov, Andrey A. Mikhailov, Minh-Duc Nguyen, Stanislav P. Polyakov, Alexey O. Shigarov, D. A. Shipilov, Dmitry P. Zhurov:
Particle identification in ground-based gamma-ray astronomy using convolutional neural networks. - Haoran Wang, Thaleia Zariphopoulou, Xunyu Zhou:
Exploration versus exploitation in reinforcement learning: a stochastic control approach. - Edward Wagstaff, Saad Hamid, Michael A. Osborne:
Batch Selection for Parallelisation of Bayesian Quadrature. - Krithika Manohar, J. Nathan Kutz, Steven L. Brunton:
Optimal Sensor and Actuator Placement using Balanced Model Reduction. - Wilhelm E. Sorteberg, Stef Garasto, Alison S. Pouplin, Chris D. Cantwell, Anil A. Bharath:
Approximating the solution to wave propagation using deep neural networks. - Dominic Liao-McPherson, Marco M. Nicotra, Ilya V. Kolmanovsky
A Semismooth Predictor Corrector Method for Real-Time Constrained Parametric Optimization with Applications in Model Predictive Control. - Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso:
From spatio-temporal data to chronological networks: An application to wildfire analysis. - Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus:
A Stable Cardinality Distance for Topological Classification. - Frank Noé, Hao Wu:
Boltzmann Generators - Sampling Equilibrium States of Many-Body Systems with Deep Learning. - Jiang Wang, Christoph Wehmeyer, Frank Noé, Cecilia Clementi:
Machine Learning of coarse-grained Molecular Dynamics Force Fields. - Vibhuti Gupta:
Voice Disorder Detection Using Long Short Term Memory (LSTM) Model. - Imad Rida:
Feature Extraction for Temporal Signal Recognition: An Overview. - Andrew Lucas:
Hard combinatorial problems and minor embeddings on lattice graphs. - Qiyang Hu, Adrian Waelchli, Tiziano Portenier, Matthias Zwicker, Paolo Favaro:
Video Synthesis from a Single Image and Motion Stroke. - Minh-Duc Nguyen, Alexander P. Kryukov, Julia Y. Dubenskaya, Elena Korosteleva, Stanislav Polyakov, Evgeny Postnikov, Igor V. Bychkov, Andrey A. Mikhailov, Alexey O. Shigarov, Oleg L. Fedorov, Yulia Kazarina, Dmitry Shipilov, Dmitry P. Zhurov:
A distributed data warehouse system for astroparticle physics. - Jean-Christophe Godin, Olivier Togni:
Graph multicoloring reduction methods and application to McDiarmid-Reed's Conjecture. - Célia Borlido, Mai Gehrke, Andreas Krebs, Howard Straubing:
Difference hierarchies and duality with an application to formal languages. - Behzad Lari:
Quantum Authentication Protocols for GSM. - Maartje M. E. Hendrikse, Gerard Llorach, Giso Grimm, Volker Hohmann:
Influence of visual cues on head and eye movements during listening tasks in multi-talker audiovisual environments with animated characters. - Benjamin Peherstorfer:
Model reduction for transport-dominated problems via online adaptive bases and adaptive sampling. - Ernesto Araya Valdivia:
Relative concentration bounds for the kernel matrix spectrum. - Elizabeth Crosson, Aram W. Harrow:
Rapid mixing of path integral Monte Carlo for 1D stoquastic Hamiltonians. - Asad Khan, Eliu A. Huerta, Sibo Wang, Robert A. Gruendl:
Unsupervised learning and data clustering for the construction of Galaxy Catalogs in the Dark Energy Survey. - Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec:
Predicting pregnancy using large-scale data from a women's health tracking mobile application. - Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar, Razvan Pascanu, Balaji Lakshminarayanan:
Adapting Auxiliary Losses Using Gradient Similarity. - Minh-Duc Nguyen, Alexander P. Kryukov:
A framework to monitor activities of satellite data processing in real-time. - Matías Siebert, Shabbir Ahmed, George L. Nemhauser:
A Linear Programming Based Approach to the Steiner Tree Problem with a Fixed Number of Terminals. - Arash Atashpendar, Guru-Vamsi Policharla, Peter B. Rønne, Peter Y. A. Ryan:
Revisiting Deniability in Quantum Key Exchange via Covert Communication and Entanglement Distillation. - Hélène Le Cadre, Paulin Jacquot, Cheng Wan, Clémence Alasseur:
Peer-to-Peer Electricity Market Analysis: From Variational to Generalized Nash Equilibrium. - Dmitriy Volinskiy, Lana Cuthbertson, Omid Ardakanian:
In (Stochastic) Search of a Fairer Alife. - Xavier Brumwell, Paul Sinz, Kwang Jin Kim, Yue Qi, Matthew J. Hirn
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction. - Amir Babaeian:
Multiple Manifold Clustering Using Curvature Constrained Path. - Maria João Gouveia, Luigi Santocanale:
The continuous weak order. - Qiao Tian, Bing Yang, Jing Chen, Benlai Tang, Shan Liu:
Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder. - Amit Meghanani, A. G. Ramakrishnan:
Pitch-synchronous DCT features: A pilot study on speaker identification. - Ilyass Haloui, Jayant Sen Gupta, Vincent Feuillard:
Anomaly detection with Wasserstein GAN. - Furqan Jameel, Shurjeel Wyne, Syed Junaid Nawaz, Zheng Chang:
Propagation Channels for mmWave Vehicular Communications: State-of-the-art and Future Research Directions. - Michal Kozlowski, Ryan McConville, Raúl Santos-Rodríguez, Robert J. Piechocki:
Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks. - Yan Wang, Xuelei Sherry Ni, Brian Stone:
A two-stage hybrid model by using artificial neural networks as feature construction algorithms. - A. Ramezanpour:
Enhancing the efficiency of quantum annealing via reinforcement: A path-integral Monte Carlo simulation of the quantum reinforcement algorithm. - Andrey Malinin, Mark J. F. Gales:
Prior Networks for Detection of Adversarial Attacks. - Julia M. Hörmann, Martin R. Pfaller, Linda Avena, Cristóbal Bertoglio, Wolfgang A. Wall:
Automatic Mapping of Atrial Fiber Orientations for Patient-Specific Modeling of Cardiac Electromechanics using Image-Registration. - Alishba Sadiq, Muhammad Usman, Shujaat Khan, Imran Naseem, Muhammad Moinuddin, Ubaid M. Al-Saggaf:
q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm. - Hao-Ting Wang, Jonathan Smallwood, Janaina Mourão Miranda, Cedric Huchuan Xia, Theodore D. Satterthwaite, Danielle S. Bassett, Danilo Bzdok:
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis. - Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Edward C. Keedwell:
Automatic hyperparameter selection in Autodock. - Pierre-Alexandre Mattei, Jes Frellsen:
missIWAE: Deep Generative Modelling and Imputation of Incomplete Data. - Aldebaro Klautau:
Frequency Tracking: LMS and RLS Applied to Speech Formant Estimation (2000). - Wujie Wang, Rafael Gómez-Bombarelli:
Variational Coarse-Graining for Molecular Dynamics. - Joseph Van Name:
Generalizations of Laver tables. - Culver McWhirter, Dustin G. Mixon, Soledad Villar:
SqueezeFit: Label-aware dimensionality reduction by semidefinite programming. - Mathias Berger, Radu David, Raphael Fonteneau, Robin Henry, Mevludin Glavic, Xavier Fettweis, Marc Le Du, Patrick Panciatici, Lucian Balea, Damien Ernst:
Critical Time Windows for Renewable Resource Complementarity Assessment. - Pengfei Fan, Liang Deng, Lei Su:
Light Propagation Prediction through Multimode Optical Fibers with a Deep Neural Network. - Yizheng Liao, Anne S. Kiremidjian, Ram Rajagopal, Chin-Hsuing Loh:
Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method. - David Radu, Mathias Berger, Raphaël Fonteneau, Simon Hardy, Xavier Fettweis, Marc Le Du, Patrick Panciatici, Lucian Balea, Damien Ernst:
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes. - Emile Mathieu, Tom Rainforth, Siddharth Narayanaswamy, Yee Whye Teh:
Disentangling Disentanglement. - Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee:
Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition. - Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini:
Three Tools for Practical Differential Privacy. - Xiu Yang, Xueyu Zhu, Jing Li:
When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method. - Clara Stegehuis, Remco van der Hofstad, Johan S. H. van Leeuwaarden:
Scale-free network clustering in hyperbolic and other random graphs. - Cecilia Jarne, Pablo N. Alcain:
A method to align time series segments based on envelope features as anchor points. - Maurizio Falcone, Giulio Paolucci, Silvia Tozza:
A High-Order Scheme for Image Segmentation via a modified Level-Set method. - S. Nakoneczny, Maciej Bilicki
Catalog of quasars from the Kilo-Degree Survey Data Release 3. - Jonathan Allcock, Chang-Yu Hsieh, Iordanis Kerenidis, Shengyu Zhang:
Quantum algorithms for feedforward neural networks. - Denis S. Krotov, Ivan Yu. Mogilnykh, Anastasia Yu. Vasil'eva:
On completely regular codes of covering radius 1 in the halved hypercubes. - Jure Slak, Gregor Kosec:
On generation of node distributions for meshless PDE discretizations. - L. O'Driscoll, Rosanna Nichols, Paul A. Knott:
A hybrid machine-learning algorithm for designing quantum experiments. - Xiangtian Zheng, Bin Wang, Le Xie:
Synthetic Dynamic PMU Data Generation: A Generative Adversarial Network Approach. - Joakim Andén, José Luis Romero:
Multitaper estimation on arbitrary domains. - Amir Karami, Aida Elkouri:
Political Popularity Analysis in Social Media. - George Shaw Jr., Amir Karami:
An Exploratory Study of (#)Exercise in the Twittersphere. - Simone Centellegher, Giovanna Miritello, Daniel Villatoro, Devyani Parameshwar, Bruno Lepri, Nuria Oliver:
Mobile Money: Understanding and Predicting its Adoption and Use in a Developing Economy. - Holger Boche, Stephen Diadamo:
The Simultaneous Identification Capacity of the Classical-Quantum Multiple Access Channel. - D. A. Shipilov, P. A. Bezyazeekov, N. M. Budnev, D. Chernykh, Oleg L. Fedorov, O. A. Gress, Andreas Haungs, R. Hiller, T. Huege, Yulia Kazarina, M. Kleifges, Elena Korosteleva, Dmitriy Kostunin, L. A. Kuzmichev, V. Lenok, N. Lubsandorzhiev, T. Marshalkina, R. Monkhoev, E. Osipova, A. Pakhorukov, L. Pankov, V. V. Prosin, F. G. Schröder, A. Zagorodnikov:
Signal recognition and background suppression by matched filters and neural networks for Tunka-Rex. - Matthew O. Jackson, Suraj Malladi, David McAdams:
Learning through the Grapevine: the Impact of Message Mutation, Transmission Failure, and Deliberate Bias. - Jason Rute:
On the close interaction between algorithmic randomness and constructive/computable measure theory. - Martin Schreiber, Richard Loft:
A Parallel Time-Integrator for Solving the Linearized Shallow Water Equations on the Rotating Sphere. - Chong Chen, Barbara Gris, Ozan Öktem:
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging. - Yibo Yang, Paris Perdikaris:
Physics-informed deep generative models. - Ari Arapostathis, Hassan Hmedi
On uniform exponential ergodicity of Markovian multiclass many-server queues in the Halfin-Whitt regime. - Alessandro Davide Ialongo, Mark van der Wilk, Carl Edward Rasmussen:
Closed-form Inference and Prediction in Gaussian Process State-Space Models. - Iordanis Kerenidis, Jonas Landman, Alessandro Luongo, Anupam Prakash:
q-means: A quantum algorithm for unsupervised machine learning. - Yongdai Kim, Ilsang Ohn, Dongha Kim:
Fast convergence rates of deep neural networks for classification. - Luca Sanguinetti, Alessio Zappone, Mérouane Debbah:
Deep Learning Power Allocation in Massive MIMO. - Tomoyuki Morimae, Harumichi Nishimura, Yuki Takeuchi, Seiichiro Tani:
Impossibility of blind quantum sampling for classical client. - Krzysztof Bartoszek, Pietro Liò:
Modelling trait dependent speciation with Approximate Bayesian Computation. - Ruiwu Niu, Xiaoqun Wu, Jun-An Lu, Jinhu Lv:
Adaptive Diffusion Processes of Time-Varying Local Information on Networks. - Mikhail B. Salin, Dmitrii A. Kosteev:
Examples of usage of nearfield acoustic holography methods for far field estimations: Part 1. CW signals. - Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Asynchronous Distributed Learning with Sparse Communications and Identification. - Matthew Wiesner, Adithya Renduchintala, Shinji Watanabe, Chunxi Liu, Najim Dehak, Sanjeev Khudanpur:
Low Resource Multi-modal Data Augmentation for End-to-end ASR. - (Withdrawn) Spiking Neural Networks: A Stochastic Signal Processing Perspective.
- Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin:
Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? - Leonhard Helminger, Abdelaziz Djelouah, Markus H. Gross, Romann M. Weber:
Disentangled Dynamic Representations from Unordered Data. - Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined Geometric Programming. - Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort:
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal. - Mohsen Mahoor, Alireza Majzoobi, Amin Khodaei:
Distribution asset management through coordinated microgrid scheduling. - José Martínez-Bernal, Miguel A. Valencia-Bucio, Rafael H. Villarreal:
Generalized Hamming weights of projective Reed-Muller-type codes over graphs. - Kostiantyn Maksymenko, Maureen Clerc, Théodore Papadopoulo:
Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem. - Carlos Murguia
Secure and Private Implementation of Dynamic Controllers Using Semi-Homomorphic Encryption. - Scott Aaronson, Daniel Grier, Luke Schaeffer:
A Quantum Query Complexity Trichotomy for Regular Languages. - Stephanie Rendón de la Torre, Jaan Kalda, Robert Kitt, Jüri Engelbrecht:
Detecting overlapping community structure: Estonian network of payments. - Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato:
Deep Unfolding of a Proximal Interior Point Method for Image Restoration. - Farouk Yahaya, Matthieu Puigt
Faster-than-fast NMF using random projections and Nesterov iterations. - Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger:
Layer-Parallel Training of Deep Residual Neural Networks. - Claire Boyer, Antonin Chambolle, Yohann de Castro, Vincent Duval, Frédéric de Gournay, Pierre Weiss:
Convex Regularization and Representer Theorems. - Shuang Xu, Chun-Xia Zhang, Pei Wang, Jiang-She Zhang:
Variational Bayesian Complex Network Reconstruction. - Imane El Hamzaoui, Jérôme Bobin:
Sparse component separation from Poisson measurements. - Colas Schretter, Jianyong Sun, Peter Schelkens:
From Adaptive Kernel Density Estimation to Sparse Mixture Models. - Jakob Knollmüller, Torsten A. Enßlin
Encoding prior knowledge in the structure of the likelihood. - Václav Potocek, Alan P. Reynolds, Alessandro Fedrizzi, David W. Corne:
Multi-objective evolutionary algorithms for quantum circuit discovery. - Nariman Farsad, Yonathan Murin, Weisi Guo, Chan-Byoung Chae, Andrew W. Eckford, Andrea Goldsmith:
Communication System Design and Analysis for Asynchronous Molecular Timing Channels. - Shenhao Wang, Jinhua Zhao:
Using Deep Neural Network to Analyze Travel Mode Choice With Interpretable Economic Information: An Empirical Example. - Alexander Cloninger:
Bounding the Error From Reference Set Kernel Maximum Mean Discrepancy. - Adarsh Subbaswamy, Peter Schulam, Suchi Saria:
Learning Predictive Models That Transport. - Jeremy Chew, Yingxiang Sun, Lahiru Jayasinghe, Chau Yuen:
DCASE 2018 Challenge: Solution for Task 5. - Kristof T. Schütt, Alexandre Tkatchenko, Klaus-Robert Müller:
Learning representations of molecules and materials with atomistic neural networks. - Mohammad Ghanbarisabagh, Gobi Vetharatnam, Elias G. Giacoumidis, Hossein Rouzegar, Nasreddine Mallouki:
A Survey on High-Capacity OFDM-based Passive Optical Networks. - Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Predictive Learning on Sign-Valued Hidden Markov Trees. - Fabio A. M. Cappabianco, Petrus P. C. E. da Silva:
Non-local Operational Anisotropic Diffusion Filter. - Cengiz Kaygusuz, Julian Zuluaga:
Impact of Intervals on the Emotional Effect in Western Music. - Takehisa Iwakoshi:
Guessing probability under unlimited known-plaintext attack on secret keys for Y00 quantum stream cipher by quantum multiple hypotheses testing. - Matteo Franciolini, Krzysztof J. Fidkowski, Andrea Crivellini:
Efficient discontinuous Galerkin implementations and preconditioners for implicit unsteady compressible flow simulations. - Michael Tsang, Youbang Sun, Dongxu Ren, Yan Liu:
Can I trust you more? Model-Agnostic Hierarchical Explanations. - Hedi Xia, Héctor D. Ceniceros:
Kernel Treelets. - Chongyang Zhang, Guofeng Zhu, Minxin Chen, Hong Chen, Chenjian Wu:
Image Segmentation Based on Multiscale Fast Spectral Clustering. - Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi:
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices. - Trivikram Dokka, Marc Goerigk, Rahul Roy:
Mixed Uncertainty Sets for Robust Combinatorial Optimization. - Nicholas Guttenberg, Nathaniel Virgo, Alexandra S. Penn:
On the potential for open-endedness in neural networks. - Martin Jung, Sujan Koirala, Ulrich Weber, Kazuhito Ichii, Fabian Gans, Gustau Camps-Valls, Dario Papale, Christopher R. Schwalm, Gianluca Tramontana, Markus Reichstein:
The FLUXCOM ensemble of global land-atmosphere energy fluxes. - (Withdrawn) Security and Privacy Issues for Connected Vehicles.
- Wolfgang Fruehwirt, Adam D. Cobb, Martin Mairhofer, Leonard Weydemann, Heinrich Garn, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Markus Waser, Dieter Grossegger, Pengfei Zhang, Georg Dorffner, Stephen J. Roberts:
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity. - Seyed Mostafa Kia, Andre F. Marquand:
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. - Mu Cong Ding, Kwok Yip Szeto:
Selection of Random Walkers that Optimizes the Global Mean First-Passage Time for Search in Complex Networks. - Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan:
Asynchronous Online Testing of Multiple Hypotheses. - Marek Sawerwain, Marek Wróblewski:
Recommendation systems with quantum k-NN and Grover's algorithms for data processing. - Karl Granström, Lennart Svensson, Yuxuan Xia, Jason L. Williams, Ángel F. García-Fernández:
Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories. - Christoph Hirche:
From asymptotic hypothesis testing to entropy inequalities. - Jose A. Perea:
Topological Time Series Analysis. - Lai Wei, Vaibhav Srivastava:
On Distributed Multi-player Multiarmed Bandit Problems in Abruptly Changing Environment. - Jason M. Altschuler, Francis R. Bach, Alessandro Rudi, Jonathan Weed:
Massively scalable Sinkhorn distances via the Nyström method. - Yunyi Li, Tong Wang:
Next Hit Predictor - Self-exciting Risk Modeling for Predicting Next Locations of Serial Crimes. - Zhuan Li, Pan Zhang:
Shortcut Matrix Product States and its applications. - Yan Deng, Lei He, Frank K. Soong:
Modeling Multi-speaker Latent Space to Improve Neural TTS: Quick Enrolling New Speaker and Enhancing Premium Voice. - Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier:
The Relationship Between the Intrinsic Cech and Persistence Distortion Distances for Metric Graphs. - Giulio Chiribella, Hlér Kristjánsson:
A second-quantised Shannon theory. - Liliana Alcón, Marisa Gutierrez, Martin Milanic:
A characterization of claw-free CIS graphs and new results on the order of CIS graphs. - Tínaz Ekim, Didem Gözüpek, Ademir Hujdurovic, Martin Milanic:
Mind the Independence Gap. - Maria Cruz Varona, Raphael Gebhart:
Impulse response of bilinear systems based on Volterra series representation. - Michael Vogt:
On the Differences between L2-Boosting and the Lasso. - Bert Wang-Chak Chan:
Lenia - Biology of Artificial Life. - Philip S. Chodrow, Peter J. Mucha:
Local Symmetry and Global Structure in Adaptive Voter Models. - Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell:
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. - Kenji Nagata, Yoh-ichi Mototake, Rei Muraoka, Takehiko Sasaki, Masato Okada:
Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA). - Kristóf Huszár
3-Manifold triangulations with small treewidth. - Matthew D. Parno
High dimensional inference for the structural health monitoring of lock gates. - Joris Van Kerrebrouck, Xiaodan Pang, Oskars Ozolins, Rui Lin, Aleksejs Udalcovs, Lu Zhang, Haolin Li, Silvia Spiga, Markus-Christian Amann, Lin Gan, Ming Tang, Songnian Fu, Richard Schatz, Gunnar Jacobsen, Sergei Popov, Deming Liu, Weijun Tong, Guy Torfs, Johan Bauwelinck, Jiajia Chen, Xin Yin:
High-speed PAM4-based Optical SDM Interconnects with Directly Modulated Long-wavelength VCSEL. - Line Kühnel, Alexis Arnaudon, Tom Fletcher, Stefan Sommer:
Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions. - Yang Li, Shangsong Wu:
Controlled islanding for a hybrid AC/DC grid with VSC-HVDC using semi-supervised spectral clustering. - Zheng Zhao, Simo Särkkä, Ali Bahrami Rad:
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. - Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari:
Theory of Connections Applied to Support Vector Machines to Solve Differential Equations. - Mucong Ding, Kwok Yip Szeto:
First-passage time distribution for random walks on complex networks using inverse Laplace transform and mean-field approximation. - Jan Goedgebeur, Barbara Meersman, Carol T. Zamfirescu:
Graphs with few Hamiltonian Cycles. - David Rushing Dewhurst, Michael Vincent Arnold, Colin Michael Van Oort:
Selection mechanism design affects volatility in a market of evolving zero-intelligence agents. - Michael Hersche, José del R. Millán, Luca Benini, Abbas Rahimi:
Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces. - Dabiao Ma, Zhiba Su, Yuhao Lu:
FPUAS : Fully Parallel UFANS-based End-to-End Acoustic System with 10x Speed Up. - Brendan Fong, David I. Spivak:
Graphical Regular Logic. - Masato Shirasaki, Naoki Yoshida, Shiro Ikeda:
Denoising Weak Lensing Mass Maps with Deep Learning. - Matthew Olson, Abraham J. Wyner:
Making Sense of Random Forest Probabilities: a Kernel Perspective. - Masataka Yamaguchi, Yuma Koizumi, Noboru Harada:
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation. - Jayabalan Geetha, N. Narayanan, K. Somasundaram:
Total Colourings - A survey. - Kieran Clenaghan:
In Praise of Sequence (Co-)Algebra and its implementation in Haskell. - Daria Maltseva, Vladimir Batagelj:
Social Network Analysis: Bibliographic Network Analysis of the Field and its Evolution / Part 1. Basic Statistics and Citation Network Analysis. - Mirco Ravanelli, Yoshua Bengio:
Speech and Speaker Recognition from Raw Waveform with SincNet. - Katja Bercic, Janos Vidali:
DiscreteZOO: a Fingerprint Database of Discrete Objects. - Thomas Honold, Michael Kiermaier, Sascha Kurz, Alfred Wassermann:
The lengths of projective triply-even binary codes. - Arne Bechensteen, Laure Blanc-Féraud, Gilles Aubert:
Single molecule localization by 𝓁2-𝓁0 constrained optimization. - Abinand Gopal, Per-Gunnar Martinsson:
The PowerURV algorithm for computing rank-revealing full factorizations. - Juste Raimbault, Clémentine Cottineau, Marion Le Texier, Florent Le Néchet, Romain Reuillon:
Space Matters: extending sensitivity analysis to initial spatial conditions in geosimulation models. - Luc Devroye, Tommy Reddad:
Discrete minimax estimation with trees. - Alessandro Davide Ialongo, Mark van der Wilk, James Hensman, Carl Edward Rasmussen:
Non-Factorised Variational Inference in Dynamical Systems. - Francisco J. Aragón Artacho, Phan Tu Vuong:
The Boosted DC Algorithm for nonsmooth functions. - Venanzio Cichella, Isaac Kaminer, Claire Walton, Naira Hovakimyan, António M. Pascoal:
Bernstein approximation of optimal control problems. - Yagmur Çakiroglu, Oguz Yayla:
A better lower bound on the family complexity of binary Legendre sequence. - (Withdrawn) Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting.
- Yizheng Liao, Ram Rajagopal:
Sequential Multiple Structural Damage Detection and Localization: A Distributed Approach. - Masood Masjoody, Ladislav Stacho:
Cops and Robbers on Graphs with a Set of Forbidden Induced Subgraphs. - Yogatheesan Varatharajah, Brent M. Berry, Jan Cimbalnik, Václav Kremen, Jamie Van Gompel, Matt Stead, Benjamin H. Brinkmann, Ravishankar K. Iyer, Gregory A. Worrell:
Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. - Kimberly K. Arcand
Walking Through an Exploded Star: Rendering Supernova Remnant Cassiopeia A into Virtual Reality. - Mikhail E. Muzychuk, Ilia N. Ponomarenko:
Testing isomorphism of circulant objects in polynomial time. - C. Lataniotis, Stefano Marelli, Bruno Sudret:
Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach. - (Withdrawn) A Note on a Picture-Hanging Puzzle.
- Po-Wei Wang, J. Zico Kolter:
Low-rank semidefinite programming for the MAX2SAT problem. - David P. Hofmeyr:
Connecting Spectral Clustering to Maximum Margins and Level Sets. - Seungjoon Lee, Felix Dietrich, George E. Karniadakis, Ioannis G. Kevrekidis:
Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. - Yizhen Xu, Tao Liu, Michael J. Daniels, Rami Kantor, Ann Mwangi, Joseph W. Hogan:
Classification using Ensemble Learning under Weighted Misclassification Loss. - Subhadeep Paul, Olgica Milenkovic, Yuguo Chen:
Higher-Order Spectral Clustering under Superimposed Stochastic Block Model. - Susan M. Cooper, Alexandra Seceleanu, Stefan O. Tohaneanu, Maria Vaz Pinto, Rafael H. Villarreal:
GMD functions for scheme-based linear codes and algebraic invariants of Geramita ideals. - Rob Chew
SMART: An Open Source Data Labeling Platform for Supervised Learning. - Sebastian Mathias Keller, Maxim Samarin, Antonia Meyer, Vitalii Kosak, Ute Gschwandtner, Peter Fuhr, Volker Roth:
Computational EEG in Personalized Medicine: A study in Parkinson's Disease. - Martin Gueuning, Sibo Cheng, Renaud Lambiotte, Jean-Charles Delvenne:
Rock-Paper-Scissors Random Walks on Temporal Multilayer Networks. - Brian Ning, Franco Ho Ting Ling, Sebastian Jaimungal:
Double Deep Q-Learning for Optimal Execution. - Peiwen Jiang
Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results. - Dimitris Bertsimas, Michael Lingzhi Li:
Interpretable Matrix Completion: A Discrete Optimization Approach. - Elie de Panafieu, Mohamed Lamine Lamali, Michael Wallner
Combinatorics of nondeterministic walks of the Dyck and Motzkin type. - Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers:
A multi-layered energy consumption model for smart wireless acoustic sensor networks. - Yihui Quek, Stanislav Fort, Hui Khoon Ng:
Adaptive Quantum State Tomography with Neural Networks. - Julian Barreiro-Gomez, Tyrone E. Duncan, Bozenna Pasik-Duncan, Hamidou Tembine:
Semi-Explicit Solutions to some Non-Linear Non-Quadratic Mean-Field-Type Games: A Direct Method. - Daniel Kraft:
Computing the Hausdorff Distance of Two Sets from Their Signed Distance Functions. - Omar K. Pineda, Hyobin Kim, Carlos Gershenson:
Antifragility of Random Boolean Networks. - Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini:
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. - Guangyuan Pan, Liping Fu, Ruifan Yu, Matthew Muresan:
Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network. - Nicolas Bédaride, Thomas Fernique:
Canonical projection tilings defined by patterns. - Alberto Lumbreras, Louis Filstroff, Cédric Févotte:
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization. - Tao Hong, Irad Yavneh, Michael Zibulevsky:
Accelerating Multigrid Optimization via SESOP. - Smith W. A. Canchumuni, Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco:
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother. - Safwan Hafeedh Younus, Aubida A. Al-Hameed, Ahmed Taha Hussein, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
Multi-branch Transmitter for Indoor Visible Light Communication Systems. - Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang:
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. - Safwan Hafeedh Younus, Ahmed Taha Hussein, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
VLC Systems with CGHs. - Elif Vural:
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm. - Alexey Markin:
On the Extremal Maximum Agreement Subtree Problem. - Michael Perlmutter, Guy Wolf, Matthew J. Hirn
Geometric Scattering on Manifolds. - Joachim von zur Gathen, Guillermo Matera:
Shifted varieties and discrete neighborhoods around varieties. - Min Liang:
Teleportation-based quantum homomorphic encryption scheme with quasi-compactness and perfect security. - Américo Oliveira, Sérgio Pereira, Carlos A. Silva:
Retinal vessel segmentation based on Fully Convolutional Neural Networks. - S. Andrew Lanham, Travis C. Cuvelier, Corey I. Ostrove, Brian R. La Cour, Granville E. Ott, Robert W. Heath Jr.:
A Noncoherent Space-Time Code from Quantum Error Correction. - Kayhan Özcimder, Biswadip Dey, Alessio Franci, Rebecca J. Lazier, Daniel Trueman, Naomi Ehrich Leonard:
Social decision-making driven by artistic explore-exploit tension. - Yasuhiro Ikeda, Keisuke Ishibashi, Yuusuke Nakano, Keishiro Watanabe, Ryoichi Kawahara:
Anomaly Detection and Interpretation using Multimodal Autoencoder and Sparse Optimization. - Dragos Florin Ciocan, Velibor V. Misic:
Interpretable Optimal Stopping. - Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön:
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. - Claire Meyniel, Dalila Samri, Farah Stefano, Joel Crevoisier, Florence Bonté, Raffaella Migliaccio, Laure Delaby, Anne Bertrand, Marie Odile Habert, Bruno Dubois, Bahram Bodaghi, Stéphane Epelbaum:
COGEVIS: A New Scale to Evaluate Cognition in Patients with Visual Deficiency. - Joel Jaskari, Jyri J. Kivinen:
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression. - Dustin G. Mixon, Soledad Villar:
Utility Ghost: Gamified redistricting with partisan symmetry. - Ulrich Paquet, Sumedh K. Ghaisas, Olivier Tieleman:
A Factorial Mixture Prior for Compositional Deep Generative Models. - Guang Wang, Xiuyuan Chen, Fan Zhang, Yang Wang, Desheng Zhang:
Experience: Understanding Long-Term Evolving Patterns of Shared Electric Vehicle Networks. - Ming Li, Zihuan Wang, Hongyu Li, Qian Liu, Liang Zhou:
A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems. - Yedid Hoshen:
Towards Unsupervised Single-Channel Blind Source Separation using Adversarial Pair Unmix-and-Remix. - Silvio F. B. Pinto, Rodrigo C. de Lamare:
Direction Finding Based on Multi-Step Knowledge-Aided Iterative Conjugate Gradient Algorithms. - Ioannis Krikidis:
Average Age of Information in Wireless Powered Sensor Networks. - Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John E. Tomaszewski, Kuang-Yu Jen, Pinaki Sarder:
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis. - Gábor Elek:
Qualitative graph limit theory. Cantor Dynamical Systems and Constant-Time Distributed Algorithms. - Xiaoda Jiang, Hancheng Lu:
Joint Rate and Resource Allocation in Hybrid Digital-Analog Transmission over Fading Channels. - Erkai Chen, Meixia Tao, Nan Zhang:
User-Centric Joint Access-Backhaul Design for Full-Duplex Self-Backhauled Wireless Networks. - Hyunbin Park, Dohyun Kim, Shiho Kim:
Digital Neuron: A Hardware Inference Accelerator for Convolutional Deep Neural Networks. - Mohammad Sadegh Safari, Vahid Pourahmadi:
Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink. - Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart:
Consistent Robust Adversarial Prediction for General Multiclass Classification. - Ferenc Bencs, Ewan Davies, Viresh Patel, Guus Regts:
On zero-free regions for the anti-ferromagnetic Potts model on bounded-degree graphs. - Touraj Soleymani, John S. Baras, Sandra Hirche:
Value of Information in Feedback Control. - Rodrigo Aldana-López, David Gómez-Gutiérrez, Michael Defoort, Juan Diego Sánchez-Torres
A class of robust consensus algorithms with predefined-time convergence under switching topologies. - Gian Giacomo Guerreschi, Anne Y. Matsuura:
QAOA for Max-Cut requires hundreds of qubits for quantum speed-up. - Tingran Gao, Lek-Heng Lim, Ke Ye:
Semi-Riemannian Manifold Optimization. - Frank Noé:
Machine Learning for Molecular Dynamics on Long Timescales. - Guang Zhao, Raymundo Arróyave, Xiaoning Qian:
Fast Exact Computation of Expected HyperVolume Improvement. - Khalid Raza, Nripendra Kumar Singh:
A Tour of Unsupervised Deep Learning for Medical Image Analysis. - Xuefeng Gao, Mert Gürbüzbalaban, Lingjiong Zhu:
Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization. - Maryam Pishgar, Fazle Karim, Somshubra Majumdar, Houshang Darabi:
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. - Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen:
Matrix Completion under Low-Rank Missing Mechanism. - (Withdrawn) Beyond z=0. The Deutsch-Jozsa decided monochromatic languages.
- Paul K. Rubenstein, Yunpeng Li, Dominik Roblek:
An Empirical Study of Generative Models with Encoders. - Lénaïc Chizat, Francis R. Bach:
A Note on Lazy Training in Supervised Differentiable Programming. - Manolis C. Tsakiris:
Eigenspace conditions for homomorphic sensing. - Reuben D. Budiardja, Christian Y. Cardall:
Targeting GPUs with OpenMP Directives on Summit: A Simple and Effective Fortran Experience. - Yifei Shen, Yuanming Shi, Jun Zhang, Khaled Ben Letaief:
LORA: Learning to Optimize for Resource Allocation in Wireless Networks with Few Training Samples. - Krasymyr Tretiak, Daniel Ruprecht:
An arbitrary order time-stepping algorithm for tracking particles in inhomogeneous magnetic fields. - Stefan Bäuml, Siddhartha Das, Mark M. Wilde:
Fundamental limits on the capacities of bipartite quantum interactions. - Ian Herszterg, Marcus Poggi, Thibaut Vidal:
2D-Phase Unwrapping via Balanced Spanning Forests. - Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt:
Fast Approximate Geodesics for Deep Generative Models. - Torsten Asselmeyer-Maluga:
Quantum computing and the brain: quantum nets, dessins d'enfants and neural networks. - Sebastien Roch:
On the variance of internode distance under the multispecies coalescent. - Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines:
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames. - Tomohiro Nakatani, Keisuke Kinoshita:
A unified convolutional beamformer for simultaneous denoising and dereverberation. - Antoine Dailly, Florent Foucaud, Adriana Hansberg:
Strengthening the Murty-Simon conjecture on diameter 2 critical graphs. - Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J. Briegel, Nicolai Friis:
Optimizing Quantum Error Correction Codes with Reinforcement Learning. - Kevin Kilgour, Mauricio Zuluaga, Dominik Roblek, Matthew Sharifi:
Fréchet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms. - Toni Karvonen, Motonobu Kanagawa, Simo Särkkä:
On the positivity and magnitudes of Bayesian quadrature weights. - Marcin Watorek, Stanislaw Drozdz, Pawel Oswiecimka, Marek Stanuszek:
Multifractal cross-correlations between the World Oil and other Financial Markets in 2012-2017. - Matteo Bonini, Massimiliano Sala:
Intersections between the norm-trace curve and some low degree curves. - Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis:
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing. - Saber Malekzadeh, Mohammad Hossein Gholizadeh, Seyed Naser Razavi:
Persian phonemes recognition using PPNet. - Carl Leake
Deep ToC: A New Method for Estimating the Solutions of PDEs. - Thomas Jahn, Martin Winter:
Vertex-Facet Assignments For Polytopes. - Gary P. T. Choi, Levi H. Dudte, L. Mahadevan:
Programming shape using kirigami tessellations. - Rohitash Chandra, Danial Azam, Arpit Kapoor, R. Dietmar Müller:
Surrogate-assisted Bayesian inversion for landscape and basin evolution models. - Xi Chen, Jin Xie, Qingcong Yuan:
A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network. - Filipe Rodrigues, Francisco C. Pereira:
Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data. - Filipe Rodrigues, Kristian Henrickson, Francisco C. Pereira:
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation. - Filipe Rodrigues, Stanislav S. Borysov, Bernardete Ribeiro, Francisco C. Pereira:
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events. - Marceau Coupechoux, Jérôme Darbon, Jean-Marc Kelif, Marc Sigelle:
Optimal Trajectories of a UAV Base Station Using Lagrangian Mechanics. - Luoluo Liu, Sang (Peter) Chin, Trac D. Tran:
Reducing Sampling Ratios and Increasing Number of Estimates Improve Bagging in Sparse Regression. - Sahar Khawatmi, Abdelhak M. Zoubir, Ali H. Sayed:
Decentralized Decision-Making Over Multi-Task Networks. - Yaghoub Rahimi, Chao Wang
A Scale Invariant Approach for Sparse Signal Recovery. - Kailai Xu, Eric Darve:
Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. - Jang-Hyun Kim, Jaejun Yoo, Sanghyuk Chun, Adrian Kim, Jung-Woo Ha:
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement. - Patrick Héas, Cédric Herzet:
Low-rank Approximation of Linear Maps. - Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi:
Dreaming neural networks: rigorous results. - Michael Kerber, Michael Lesnick, Steve Oudot:
Exact computation of the matching distance on 2-parameter persistence modules. - Giovanni Luca Torrisi, Michele Garetto, Emilio Leonardi:
Bootstrap percolation on the stochastic block model. - Sándor Z. Kiss, Péter Kutas:
An identification system based on the explicit isomorphism problem. - Md. Siraj-Ud-Doula, Md. Ashad Alam:
Ecological Data Analysis Based on Machine Learning Algorithms. - Mark Fingerhuth, Tomás Babej, Peter Wittek:
Open source software in quantum computing. - Francesco Ciraulo, Tatsuji Kawai, Samuele Maschio:
Factorizing the Top-Loc adjunction through positive topologies. - Tom Johnston, Alex Scott:
Lipschitz bijections between boolean functions. - Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko:
Persistence Bag-of-Words for Topological Data Analysis. - Jop Briët, Harry Buhrman, Debbie W. Leung, Teresa Piovesan, Florian Speelman:
Round elimination in exact communication complexity. - Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu:
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. - Constantinos Papayiannis, Christine Evers, Patrick A. Naylor:
End-to-End Classification of Reverberant Rooms using DNNs. - Eric Goubault, Michael Farber, Aurélien Sagnier:
Directed topological complexity. - Fedor Manin
Algorithmic aspects of immersibility and embeddability. - Mariana S. Escalante, Erica G. Hinrichsen, Valeria Leoni:
Packing functions and graphs with perfect closed neighbourhood matrices. - Shaoxing Mo, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu:
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification. - Yang Zheng, Jiawei Wang, Keqiang Li:
Smoothing traffic flow via control of autonomous vehicles. - Xiao-Feng Xie, Zunjing Jenipher Wang:
Uncovering Urban Mobility and City Dynamics from Large-Scale Taxi Origin-Destination (O-D) Trips: Case Study in Washington DC Area. - Valerii Likhosherstov, Yury Maximov, Michael Chertkov:
Inference and Sampling of K33-free Ising Models. - Jaeho Lee, Maxim Raginsky:
Learning finite-dimensional coding schemes with nonlinear reconstruction maps. - Peter J. Ayre, Amin Coja-Oghlan, Catherine S. Greenhill:
Lower bounds on the chromatic number of random graphs. - Brian Sifringer, Virginie Lurkin, Alexandre Alahi:
Let Me Not Lie: Learning MultiNomial Logit. - Noga Alon, Omri Ben-Eliezer, Chong Shangguan
The hat guessing number of graphs. - Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
A determinantal point process for column subset selection. - Yoona Choi, Bowon Lee:
Pansori: ASR Corpus Generation from Open Online Video Contents. - Thomas Brunner, Frederik Diehl
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks. - Insoon Yang:
Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach. - César A. Uribe, Ali Jadbabaie:
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs. - Sabber Ahamed, Eunseo Choi:
Incorporating Deformation Energetics in Long-Term Tectonic Modeling. - Maximilian Kurthen, Torsten A. Enßlin
Bayesian Causal Inference. - William B. Kinnersley, Eric Peterson:
Cops, robbers, and burning bridges. - Linjie Liu, Shengxian Wang, Xiaojie Chen, Matjaz Perc:
Evolutionary dynamics in the public goods games with switching between punishment and exclusion. - Xin Wang, Mark M. Wilde, Yuan Su
Efficiently computable bounds for magic state distillation. - Mohammad Siavashi, Somayeh Zarezadeh:
An Algorithm for computing the t-signature of two-state networks. - Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Deep neural networks are biased towards simple functions. - Mikhail A. Botchev, Leonid A. Knizhnerman:
ART: adaptive residual-time restarting for Krylov subspace matrix exponential evaluations. - Vedran Sekara, Pierre Deville, Sebastian E. Ahnert, Albert-László Barabási, Roberta Sinatra, Sune Lehmann:
The Chaperone Effect in Scientific Publishing. - Jeremy D. Watson, Ioannis Lestas:
Frequency and voltage regulation in hybrid AC/DC networks. - Vladimir Puzyrev:
Deep learning electromagnetic inversion with convolutional neural networks. - Yagna Patel:
Optimizing Market Making using Multi-Agent Reinforcement Learning. - Raphaël Deswarte, Véronique Gervais, Gilles Stoltz, Sébastien Da Veiga:
Sequential model aggregation for production forecasting. - Ricardo Vilalta:
Transfer Learning in Astronomy: A New Machine-Learning Paradigm. - Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar:
Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems. - Jan Kuske, Stefania Petra:
Performance Bounds For Co-/Sparse Box Constrained Signal Recovery. - Pongpat Sittitrai, Kittikorn Nakprasit:
Planar graphs without pairwise adjacent 3-, 4-, 5-, and 6-cycle are 4-choosable. - Jesse Geneson, Leslie Hogben:
Propagation time for probabilistic zero forcing. - Marcelo Sardelich, Suresh Manandhar:
Multimodal deep learning for short-term stock volatility prediction. - Han Zhang, Bo Ai, Wenjun Xu, Li Xu, Shuguang Cui:
MIMO Channel Interpolation via Tucker Decomposed Extreme Learning Machine. - Jesús Arroyo
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. - Elad Plaut, Raja Giryes:
A Greedy Approach to 𝓁0, ∞ Based Convolutional Sparse Coding. - Aditya Grover, Stefano Ermon:
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization. - Shiqing Yu, Mathias Drton, Ali Shojaie:
Generalized Score Matching for Non-Negative Data. - Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu:
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time. - Senbin Yu, Liang Gao, Yi-Fan Wang:
Finding the proper node ranking method for complex networks. - Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Leslie Ying, Gesualdo Scutari:
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. - Marc Aurèle Gilles, Alexander Vladimirsky:
Surveillance-Evasion games under uncertainty. - Senbin Yu, Liang Gao, Rongqiu Song:
Local Articulation Points in Complex Networks. - Deqing Wang
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study. - Leszek Aleksander Kolodziejczyk, Neil Thapen:
Approximate counting and NP search problems. - Pim de Haan, Luca Falorsi:
Topological Constraints on Homeomorphic Auto-Encoding. - Jian Lin, Zhong Yuan Lai, Xiaopeng Li:
Reinforcement learning architecture for automated quantum-adiabatic-algorithm design. - Vaibhav Karve
The complete set of minimal simple graphs that support unsatisfiable 2-CNFs. - Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu:
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model. - Peng Wei, Yue Xiao, Lilin Dan:
Continuity-Enhanced Basis Signal aided Low-Interference N-Continuous OFDM. - Nicholas M. Boffi, Jean-Jacques E. Slotine:
A continuous-time analysis of distributed stochastic gradient. - Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked:
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set. - Cenk M. Yetis, Ronald Y. Chang:
Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks. - Bas Peters, Justin Granek, Eldad Haber:
Multi-resolution neural networks for tracking seismic horizons from few training images. - Hamsa Bastani:
Predicting with Proxies. - Peter Borg, Kurt Fenech, Pawaton Kaemawichanurat:
Isolation of k-cliques. - Mikhail Belkin, Daniel Hsu, Siyuan Ma, Soumik Mandal:
Reconciling modern machine learning and the bias-variance trade-off. - Ewan Davies, Rémi de Joannis de Verclos, Ross J. Kang, François Pirot
Occupancy fraction, fractional colouring, and triangle fraction. - David M. Evans, Jan Hubicka
EPPA for two-graphs and antipodal metric spaces. - Alexander Rakhlin, Xiyu Zhai:
Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon. - Pengfei Liu:
Drug cell line interaction prediction. - Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease. - Jatin Nitin Kumar, Qianxiao Li, Karen Y. T. Tang, Tonio Buonassisi, Anibal L. Gonzalez-Oyarce, Jun Ye
Machine learning enables polymer cloud-point engineering via inverse design. - Li-Xin Wang:
A Fast Training Algorithm for Deep Convolutional Fuzzy Systems with Application to Stock Index Prediction. - Yagiz Kaymak, Sina Fathi Kazerooni, Roberto Rojas-Cessa, Jianghua Feng, Nirwan Ansari, MengChu Zhou, Tairan Zhang:
Beam with Adaptive Divergence Angle in Free-Space Optical Communications for High-Speed Trains. - Alexander B. Boyd, Ayoti Patra, C. Jarzynski, James P. Crutchfield:
Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure. - Lin Li, Haiyan Cai, Hongxia Han, Qingtang Jiang, Hongbing Ji:
Adaptive Short-time Fourier Transform and Synchrosqueezing Transform for Non-stationary Signal Separation. - Abhishek Halder:
DeGroot-Friedkin Map in Opinion Dynamics is Mirror Descent. - Aude Sportisse, Claire Boyer, Julie Josse:
Imputation and low-rank estimation with Missing Non At Random data. - Alessandro Ingrosso, L. F. Abbott:
Training dynamically balanced excitatory-inhibitory networks. - Tianle Chen, Brian Keng, Javier Moreno:
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. - Steve Thakur:
Abelian varieties in pairing-based cryptography. - Zhang Zhang, Jing Liu, Shuo Wang, Ruyue Xin, Jiang Zhang:
A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data. - Tomoaki Okayama, Yuya Shintaku, Eisuke Katsuura:
New conformal map for the Sinc approximation for exponentially decaying functions over the semi-infinite interval. - H. Sebastian Seung:
Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons. - Adam Rupe, James P. Crutchfield:
Spacetime Symmetries, Invariant Sets, and Additive Subdynamics of Cellular Automata. - Daniel J. Perry, Robert M. Kirby, Akil Narayan, Ross T. Whitaker:
Allocation strategies for high fidelity models in the multifidelity regime. - Donghui Yan, Yingjie Wang, Jin Wang, Honggang Wang, Zhenpeng Li:
K-nearest Neighbor Search by Random Projection Forests. - Daniel J. Tait, Bruce J. Worton:
Approximate Inference for Multiplicative Latent Force Models. - Pierpaolo Battigalli, Fabrizio Panebianco, Paolo Pin:
Learning and Selfconfirming Equilibria in Network Games. - Akira Ishii, Yasuko Kawahata:
Opinion Dynamics Theory for Analysis of Consensus Formation and Division of Opinion on the Internet. - Diego Ulisse Pizzagalli, Santiago Fernandez Gonzalez, Rolf Krause:
A shortest-path based clustering algorithm for joint human-machine analysis of complex datasets. - Tim Roughgarden, Inbal Talgam-Cohen:
Approximately Optimal Mechanism Design. - Devavrat Shah, Dogyoon Song:
Learning Mixture Model with Missing Values and its Application to Rankings. - H. Sebastian Seung:
Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons. - Antonio Miguel, Jorge Llombart, Alfonso Ortega, Eduardo Lleida:
Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition. - Shiva Shankar:
Structurally Stable Properties of Control Systems. - Somnath Chakraborty, Hariharan Narayanan
Generating an equidistributed net on a unit n-sphere using random rotations. - Steven B. Damelin, David L. Ragozin, Michael Werman:
On Min-Max affine approximants of convex or concave real valued functions from $\mathbb R^k$, Chebyshev equioscillation and graphics. - Joaquín Carrasco, William P. Heath, Nur Syazreen Ahmad, Shuai Wang, Jingfan Zhang:
Convex searches for discrete-time Zames-Falb multipliers. - Sachin Kadam, Chaitanya S. Raut, Aman Deep Meena, Gaurav S. Kasbekar:
Fast Node Cardinality Estimation and Cognitive MAC Protocol Design for Heterogeneous Machine-to-Machine Networks. - Cameron Calk, Eric Goubault, Philippe Malbos:
Time-reversal homotopical properties of concurrent systems.
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