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CoRR, January 2019
- Vlad Taran
, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. - Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. - Karim A. Banawan, Sennur Ulukus:
Private Information Retrieval from Non-Replicated Databases. - Zhenwei Miao, Kim-Hui Yap, Xudong Jiang, Subbhuraam Sinduja, Zhenhua Wang:
DCI: Discriminative and Contrast Invertible Descriptor. - Zhenwei Miao, Kim-Hui Yap, Xudong Jiang:
Interest Point Detection based on Adaptive Ternary Coding. - Burak Bartan, Mert Pilanci:
Convex Relaxations of Convolutional Neural Nets. - Matvey Arye, Siddhartha Sen, Michael J. Freedman:
Poor Video Streaming Performance Explained (and Fixed). - Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu:
Mask-aware networks for crowd counting. - Alireza Sedghi, Jie Luo, Alireza Mehrtash
Deep Information Theoretic Registration. - Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica:
Dynamic Space-Time Scheduling for GPU Inference. - Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima:
SiCloPe: Silhouette-Based Clothed People. - Long Zhang, Xuechao Sun, Yong Li, Zhenyu Zhang:
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks. - (Withdrawn) Multiple Sclerosis Lesion Inpainting Using Non-Local Partial Convolutions.
- Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. - Ami Tavory:
The Stochastic Complexity of Principal Component Analysis. - Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang:
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. - Peter Eckersley:
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function). - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
Improving Tree-LSTM with Tree Attention. - Gábor Petneházi:
Recurrent Neural Networks for Time Series Forecasting. - Sean Robertson, Gerald Penn, Yingxue Wang:
Exploring spectro-temporal features in end-to-end convolutional neural networks. - Bernd Finkbeiner, Samantha Kleinberg:
Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology, CREST@ETAPS 2018, Thessaloniki, Greece, 21st April 2018. EPTCS 286, 2019 [contents] - Ramin Ayanzadeh, Seyedahmad Mousavi, Milton Halem, Tim Finin:
Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty. - Hader E. El-hmaily, Rabab Ezz-Eldin, Ahmed I. A. Galal, Hesham F. A. Hamed:
High Performance GNR Power Gating for Low-Voltage CMOS Circuits. - Jiarong Dong, Ke Gao, Xiaokai Chen, Junbo Guo, Juan Cao, Yongdong Zhang:
Not All Words are Equal: Video-specific Information Loss for Video Captioning. - (Withdrawn) Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models.
- Zhiri Tang, Ruohua Zhu, Peng Lin, Jin He, Hao Wang, Qijun Huang, Sheng Chang, Qiming Ma:
A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing Mechanism. - Jinwook Huh, Omur Arslan, Daniel D. Lee:
Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning. - Ranjan Mondal, Sanchayan Santra
Dense Morphological Network: An Universal Function Approximator. - Jie Song, Yichuan Zhang, Yubin Bao, Ge Yu:
Probery: A Probability-based Incomplete Query Optimization for Big Data. - Yonatan Glassner, Liran Gispan, Ariel Ayash, Tal Furman Shohet:
Closing the gap towards end-to-end autonomous vehicle system. - Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran:
An Active Learning Framework for Efficient Robust Policy Search. - Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan:
Gated-Dilated Networks for Lung Nodule Classification in CT scans. - Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh:
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review. - Roshan Gopalakrishnan, Ashish Jith Sreejith Kumar, Yansong Chua:
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses. - Zheng-Chu Guo, Lei Shi, Shao-Bo Lin:
Realizing data features by deep nets. - Francesco Malandrino, Carla-Fabiana Chiasserini:
5G Traffic Forecasting: If Verticals and Mobile Operators Cooperate. - Zhuoran Yang, Yuchen Xie, Zhaoran Wang:
A Theoretical Analysis of Deep Q-Learning. - Josep Díaz, Lefteris M. Kirousis, Sofia Kokonezi, John Livieratos
Algorithmically Efficient Syntactic Characterization of Possibility Domains. - Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu, Hongtao Lu, Yichen Wei, Jian Sun:
Rethinking on Multi-Stage Networks for Human Pose Estimation. - Andrey Polyakov, Mikhail L. Zymbler:
Parallel Algorithm for Time Series Discords Discovery on the Intel Xeon Phi Knights Landing Many-core Processor. - Faisal N. Abu-Khzam, Judith Egan, Serge Gaspers, Alexis Shaw, Peter Shaw:
On the Parameterized Cluster Editing with Vertex Splitting Problem. - Wanrong Zhu, Zhiting Hu, Eric P. Xing:
Text Infilling. - Mahesh Babu Vaddi, B. Sundar Rajan:
A Field-Size Independent Code Construction for Groupcast Index Coding Problems. - Bodhisatwa Mandal, Suvam Dubey, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das:
Handwritten Indic Character Recognition using Capsule Networks. - Martin Weiß:
Optimal Object Placement using a Virtual Axis. - Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang:
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. - Shaobo Han, David B. Dunson:
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks. - Dogan Ulus:
Online Monitoring of Metric Temporal Logic using Sequential Networks. - Jingbo Liu, Mohammad Hossein Yassaee, Sergio Verdú:
Sharp Bounds for Mutual Covering. - W. W. N. C. K. Palagolla, A. P. R. Wickramarachchi
Effective integration of ICT to facilitate the secondary education in Sri Lanka. - Jung Hoon Lee:
Complementary reinforcement learning towards explainable agents. - Ali Momeni, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck, Mahdi Orooji:
End-to-End Performance Optimization in Hybrid Molecular and Electromagnetic Communications. - Raimondas Ciegis, Petr N. Vabishchevich:
High order numerical schemes for solving fractional powers of elliptic operators. - Ramin Hasibi, Matin Shokri, Mehdi Dehghan Takht Fooladi:
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning. - Mehryar Emambakhsh, Adrian N. Evans:
Nasal Patches and Curves for Expression-robust 3D Face Recognition. - Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai:
Smart Information Spreading for Opinion Maximization in Social Networks. - Andrea Zanette, Emma Brunskill:
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds. - Bashar Alhafni, Saulo Fernando Guedes, Lays Cavalcante Ribeiro, Juhyun Park, Jeongkyu Lee:
Mapping Areas using Computer Vision Algorithms and Drones. - Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi:
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. - Soummya Kar
Clustering with Distributed Data. - Tingting Qiao, Weijing Zhang, Miao Zhang, Zixuan Ma, Duanqing Xu:
Ancient Painting to Natural Image: A New Solution for Painting Processing. - Shubham S. Srivastava, Medha Atre, Shubham Sharma, Rahul Gupta, Sandeep K. Shukla:
Verity: Blockchains to Detect Insider Attacks in DBMS. - Ismael Herrera-Revilla, Iván Contreras, Graciela S. Herrera:
The Divide-and-Conquer Framework: A Suitable Setting for the DDM of the Future. - Shuai Ma, Jinpeng Huai:
Approximate Computation for Big Data Analytics. - Heng Liu, Haoming Jia, Jiaqi Chen, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Computing Resource Allocation of Mobile Edge Computing Networks Based on Potential Game Theory. - Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, George Alexandrov, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred L. Burghardt, Ana C. Arias, Luca Benini, Jan M. Rabaey:
Adaptive EMG-based hand gesture recognition using hyperdimensional computing. - Gang Xu, Ran Ling, Yongjie Jessica Zhang, Zhoufang Xiao, Zhongping Ji, Timon Rabczuk:
Singularity Structure Simplification of Hexahedral Mesh via Weighted Ranking. - San Ling, Khoa Nguyen, Huaxiong Wang, Yanhong Xu:
Accountable Tracing Signatures from Lattices. - Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh:
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. - Christopher J. Hazard, Christopher Fusting, Michael Resnick, Michael Auerbach, Michael Meehan, Valeri Korobov:
Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions. - Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
A Survey on Multi-output Learning. - Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano, Alexandre Cláudio Botazzo Delbem:
General Subpopulation Framework and Taming the Conflict Inside Populations. - Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Learning Humanoid Robot Motions Through Deep Neural Networks. - Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao:
Vector and Line Quantization for Billion-scale Similarity Search on GPUs. - Miao Zhang, Huiqi Li, Juan Lyu, Sai-Ho Ling, Steven W. Su:
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization. - Kenji Kawaguchi, Leslie Pack Kaelbling:
Elimination of All Bad Local Minima in Deep Learning. - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
On Minimum Discrepancy Estimation for Deep Domain Adaptation. - Xingjian Du, Mengyao Zhu, Xuan Shi, Xinpeng Zhang, Wen Zhang, Jingdong Chen:
End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking. - Vidya Prasad K, Akarsh S, R. Vinayakumar, Soman K. P:
A Deep Learning Approach for Similar Languages, Varieties and Dialects. - Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. - Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban:
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. - Abolfazl Danayi, Saeed Sharifian:
openCoT: The opensource Cloud of Things platform. - Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye:
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images. - Dominik Kowald, Simone Kopeinik, Elisabeth Lex:
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. - Zheng Dong, Jian-Kang Zhang, He Chen:
Average SEP-Optimal Precoding for Correlated Massive MIMO with ZF Detection: An Asymptotic Analysis. - Torgeir Dingsøyr, Davide Falessi, Ken Power:
Agile Development at Scale: The Next Frontier. - Michal Koperski, Tomasz K. Konopczynski, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. - Valerie Chen, Valerio Pastro, Mariana Raykova:
Secure Computation for Machine Learning With SPDZ. - Seth Gilbert, Peter Robinson, Suman Sourav:
Leader Election in Well-Connected Graphs. - Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof:
Abstractions of linear dynamic networks for input selection in local module identification. - Massimiliano Dal Mas:
Responsive Equilibrium for Self-Adaptive Ubiquitous Interaction. - Sudip Poddar, Robert Wille, Hafizur Rahaman, Bhargab B. Bhattacharya:
Dilution with Digital Microfluidic Biochips: How Unbalanced Splits Corrupt Target-Concentration. - Wenchao Xia
A Deep Learning Framework for Optimization of MISO Downlink Beamforming. - Bowen Lin, Shujun Fu, Caiming Zhang, Fengling Wang, Yuliang Li:
Optical Fringe Patterns Filtering Based on Multi-Stage Convolution Neural Network. - Jiaming Liu, Chengquan Zhang, Yipeng Sun, Junyu Han, Errui Ding:
Detecting Text in the Wild with Deep Character Embedding Network. - Karl Schlechta:
KI, Philosophie, Logik. - Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang
Learning Efficient Detector with Semi-supervised Adaptive Distillation. - Chong Zhang, Yao Qin, Gongpu Wang, Ruisi He, Rongfei Fan:
Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels. - Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preußer, Magnus Själander:
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. - Anton Badev:
Nash Equilibria on (Un)Stable Networks. - Anaïs Vergne, Laurent Decreusefond, Philippe Martins:
Computing the k-coverage of a wireless network. - Han Mao Kiah, Anshoo Tandon, Mehul Motani:
Generalized Sphere-Packing Bound for Subblock-Constrained Codes. - Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu:
Attribute-Aware Attention Model for Fine-grained Representation Learning. - Harish Kannan, Emil Saucan, Indrava Roy, Areejit Samal:
Persistent homology of unweighted complex networks via discrete Morse theory. - Belén Saldías-Fuentes, Pavlos Protopapas, Karim Pichara B.:
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. - Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei:
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. - Oren Halvani, Christian Winter, Lukas Graner:
Unary and Binary Classification Approaches and their Implications for Authorship Verification. - Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann:
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning. - Yi Luan:
Information Extraction from Scientific Literature for Method Recommendation. - Shiva Kumar H. R., A. G. Ramakrishnan:
Lipi Gnani - A Versatile OCR for Documents in any Language Printed in Kannada Script. - Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen Hoang Tran, Quan Z. Sheng:
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. - Wim Vanderbauwhede, Syed Waqar Nabi:
Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs. - Simon Cooksey, Sarah Harris, Mark Batty, Radu Grigore, Mikolás Janota:
PrideMM: A Solver for Relaxed Memory Models. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
Gender bias in academic recruitment. - Dimitrios Rafailidis, Yannis Manolopoulos:
The Technological Gap Between Virtual Assistants and Recommendation Systems. - Pierre Baldi, Roman Vershynin:
The capacity of feedforward neural networks. - Oguzhan Gencoglu:
Deep Representation Learning for Clustering of Health Tweets. - Li-Xin Wang:
Hierarchical Fuzzy Opinion Networks: Top-Down for Social Organizations and Bottom-Up for Election. - (Withdrawn) BMF: Block matrix approach to factorization of large scale data.
- Andres Ferraro, Dmitry Bogdanov, Jisang Yoon, KwangSeob Kim, Xavier Serra:
Automatic playlist continuation using a hybrid recommender system combining features from text and audio. - Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh:
SGD Converges to Global Minimum in Deep Learning via Star-convex Path. - Anthony Brunel, Johanna Pasquet, Jérôme Pasquet, Nancy Rodriguez
A CNN adapted to time series for the classification of Supernovae. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor. - Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Learning Generalizable Physical Dynamics of 3D Rigid Objects. - Hsin-Hao Su, Hoa T. Vu:
Towards the Locality of Vizing's Theorem. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
Minimizing The Age of Information in a CSMA Environment. - Meera Hahn, Andrew Silva, James M. Rehg:
Action2Vec: A Crossmodal Embedding Approach to Action Learning. - Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li:
Improving Face Anti-Spoofing by 3D Virtual Synthesis. - Evan Cavallo
Parametric Cubical Type Theory. - Riham S. Elhabyan, Wei Shi, Marc St-Hilaire:
Coverage Protocols for Wireless Sensor Networks: Review and Future Directions. - Eitan Netzer, Alex Frid, Dan Feldman:
Real-Time EEG Classification via Coresets for BCI Applications. - Chloe He
Honey Authentication with Machine Learning Augmented Bright-Field Microscopy. - Alexandra N. M. Darmon, Marya Bazzi, Sam D. Howison, Mason A. Porter:
Pull out all the stops: Textual analysis via punctuation sequences. - Bin Ma, Shubao Liu, Yingxuan Zhi, Qi Song:
Flow Based Self-supervised Pixel Embedding for Image Segmentation. - Victor Davis:
Types, Tokens, and Hapaxes: A New Heap's Law. - Daniel Kent, Fathi M. Salem:
Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer. - Jungyeol Kim, Saswati Sarkar, Santosh S. Venkatesh, Megan Smirti Ryerson, David Starobinski:
Modeling Information Propagation in General V2V-enabled Transportation Networks. - Preetum Nakkiran:
Adversarial Robustness May Be at Odds With Simplicity. - Anna Smagina, Valentina P. Bozhkova, Sergey Gladilin, Dmitry P. Nikolaev:
Linear colour segmentation revisited. - Abby Stylianou, Richard Souvenir, Robert Pless:
Visualizing Deep Similarity Networks. - Mengtian Li, Zhe Lin, Radomír Mech, Ersin Yumer, Deva Ramanan:
Photo-Sketching: Inferring Contour Drawings from Images. - Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
Multi-class Classification without Multi-class Labels. - Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-Label Adversarial Perturbations. - Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini:
Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields. - Antonio L. Alfeo, Francesco Paolo Appio
An adaptive stigmergy-based system for evaluating technological indicator dynamics in the context of smart specialization. - Jonathan Scarlett, Volkan Cevher:
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation. - Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou:
Instance-Based Classification through Hypothesis Testing. - Jie Wen, Zuofeng Zhong, Zheng Zhang, Lunke Fei, Zhihui Lai, Runze Chen:
Adaptive Locality Preserving Regression. - Reza Mirosanlou, Mohammadkazem Taram, Zahra Shirmohammadi, Seyed Ghassem Miremadi:
3DCAM: A Low Overhead Crosstalk Avoidance Mechanism for TSV-Based 3D ICs. - Meixin Zhu, Xuesong Wang, Yinhai Wang:
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning. - Ahmad Hany Hossny, Lewis Mitchell
Event detection in Twitter: A keyword volume approach. - Xinwu Yang, Guizeng You, Chong Zhao, Mengfei Dou, Xinian Guo:
An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy. - Jiali Luan, Zheng Zhang:
Prediction of multi-dimensional spatial variation data via Bayesian tensor completion. - Luke Hsiao, Hudson Ayers:
The Price of Free Illegal Live Streaming Services. - Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Fei Fang:
Towards Thwarting Social Engineering Attacks. - Georgiana Caltais, Sophie Linnea Guetlein, Stefan Leue:
Causality for General LTL-definable Properties. 1-15 - Rayna Dimitrova, Rupak Majumdar, Vinayak S. Prabhu:
Causality Analysis for Concurrent Reactive Systems (Extended Abstract). 31-33 - Kevin Baum
Towards a Framework Combining Machine Ethics and Machine Explainability. 34-49 - Hadas Kress-Gazit, Hazem Torfah
The Challenges in Specifying and Explaining Synthesized Implementations of Reactive Systems. 50-64 - Ioana Cristescu, Walter Fontana, Jean Krivine:
Interactions between Causal Structures in Graph Rewriting Systems. 65-78 - Fausto Barbero, Gabriel Sandu:
Interventionist Counterfactuals on Causal Teams. 16-30 - Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang
A Comprehensive Survey on Graph Neural Networks. - Yun He, Haochen Chen, Ziwei Zhu, James Caverlee:
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. - Daoyu Lin, Guangluan Xu, Xiaoke Wang, Yang Wang, Xian Sun, Kun Fu:
A Remote Sensing Image Dataset for Cloud Removal. - Yun Feng, Bing-Chuan Wang, Li Ding:
A Constrained Cooperative Coevolution Strategy for Weights Adaptation Optimization of Heterogeneous Epidemic Spreading Networks. - Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. - Xiaokang Wen, Suzhi Bi, Xiaohui Lin, Lina Yuan, Juan Wang:
Throughput Maximization for Ambient Backscatter Communication: A Reinforcement Learning Approach. - Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin:
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. - Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Volumetric Convolution: Automatic Representation Learning in Unit Ball. - Pengfei Zuo, Yu Hua, Yuan Xie:
A Secure and Persistent Memory System for Non-volatile Memory. - Weidong Zhang, Wei Zhang, Jason Gu:
Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment. - Robert Utterback, Kunal Agrawal, Jeremy T. Fineman, I-Ting Angelina Lee:
Efficient Race Detection with Futures. - Zhifei Zhang, Wanling Gao, Fan Zhang, Yunyou Huang, Shaopeng Dai, Fanda Fan, Jianfeng Zhan, Mengjia Du, Silin Yin, Longxin Xiong, Juan Du, Yumei Cheng, Xiexuan Zhou, Rui Ren, Lei Wang, Hainan Ye:
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks. - Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Baseline Desensitizing In Translation Averaging. - Josef Spillner:
Quality Assessment and Improvement of Helm Charts for Kubernetes-Based Cloud Applications. - Haiyan Jiang, Yong Niu, Jiayi Zhang, Bo Ai, Zhangdui Zhong:
Coalition Game based Full-duplex Concurrent Scheduling in Millimeter Wave Wireless Backhaul Network. - Peng Jia, Pinghui Wang, Jing Tao, Xiaohong Guan:
A Fast Sketch Method for Mining User Similarities over Fully Dynamic Graph Streams. - Dayana Ribas, Jorge Llombart, Antonio Miguel, Luis Vicente:
Deep Speech Enhancement for Reverberated and Noisy Signals using Wide Residual Networks. - Hung-Fu Chang, Tzu-Kang Lin:
Real-time Structural Health Monitoring System Using Internet of Things and Cloud Computing. - Leila Ben Othman:
Une nouvelle approche de complétion des valeurs manquantes dans les bases de données. - Junyang Jin, Ye Yuan, Jorge M. Gonçalves:
High Precision Variational Bayesian Inference of Sparse Linear Networks. - Francois P. S. Luus, Naweed Khan, Ismail Akhalwaya:
Active Learning with TensorBoard Projector. - Bo Song, Xiaobo Jiang, Xinhua Zhuang:
Virtual Web Based Personalized PageRank Updating. - Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto:
GeoNet: Deep Geodesic Networks for Point Cloud Analysis. - Tobias Hinz, Stefan Heinrich, Stefan Wermter
Generating Multiple Objects at Spatially Distinct Locations. - Dhaivat Dholakiya, Shounak Bhattacharya, Ajay Gunalan, Abhik Singla, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya:
Design, Development and Experimental Realization of a Quadrupedal Research Platform: Stoch. - Huaiping Ming, Lei He, Haohan Guo, Frank K. Soong:
Feature reinforcement with word embedding and parsing information in neural TTS. - Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels. - Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia:
Face Recognition: A Novel Multi-Level Taxonomy based Survey. - Abdullah M. Khalili, Abdel-Hamid Soliman, Md. Asaduzzaman, Alison L. Griffiths:
Wi-Fi Sensing: Applications and Challenges. - Marmar Orooji, Gerald M. Knapp:
Improving Suppression to Reduce Disclosure Risk and Enhance Data Utility. - Nader H. Bshouty:
Almost Optimal Distribution-free Junta Testing. - Philip Bille, Mikko Berggren Ettienne, Inge Li Gørtz:
Mergeable Dictionaries With Shifts. - Natalia Jerdack, Akmaral Dauletbek, Meredith Divine, Michael Hult, Arthur Carvalho:
Understanding What Drives Bitcoin Trading Activities. - Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana:
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. - Augusto Ciuffoletti:
On-line Remote EKG as a Web Service. - Jan Helmig, Marek Behr, Stefanie Elgeti:
Boundary-Conforming Finite Element Methods for Twin-Screw Extruders: Unsteady - Temperature-Dependent - Non-Newtonian Simulations. - Yufeng Zhan, Yuanqing Xia, Jiang Zhang, Ting Li, Yu Wang:
Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach. - Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez-Gonzalez, Emilia Kacprzak, Paul Groth:
Dataset search: a survey. - Yuriy Syerov, Olha Trach, Solomia Fedushko:
Effect of implementation of improved methods of the life cycle stages organisation to the online community management. - Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong
Resource-Scalable CNN Synthesis for IoT Applications. - Emre Calisir, Marco Brambilla:
Characterizing Long-Running Political Phenomena on Social Media. - Muhammad Junaid Farooq, Quanyan Zhu:
Modeling, Analysis, and Mitigation of Dynamic Botnet Formation in Wireless IoT Networks. - Mohammad Hessam Olya, Dongxiao Zhu, Kai Yang:
Multi-task Prediction of Patient Workload. - Zhengbo Zou, Di Sha:
The Impact of Countdown Clocks on Subway Ridership in New York City. - Ryan A. Ebardo:
Visibility and Training in Open Source Software Adoption: A Case in Philippine Higher Education. - Neil Deshmukh:
Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods. - Ouri Poupko, Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Sybil-Resilient Conductance-Based Community Growth. - Silvia Butti, Stanislav Zivný:
Sparsification of Binary CSPs. - Supriya Sarker, Abdur R. Shahid:
Cyberbullying of High School Students in Bangladesh: An Exploratory Study. - Avishek Choudhury
Classification of Functioning, Disability, and Health: ICF-CY Self Care (SCADI Dataset) Using Predictive Analytics. - Bogdan D. Czejdo, Wiktor B. Daszczuk, Waldemar Grabski, Sambit Bhattacharya:
Cooperation of Multiple Autonomous Robots and Analysis of their Swarm Behavior. - Annalisa Buffa, Jacopo Corno, Carlo de Falco, Sebastian Schöps, Rafael Vázquez Hernández:
Isogeometric Mortar Coupling for Electromagnetic Problems. - Tai-Yu Ma, Saeid Rasulkhani, Joseph Y. J. Chow, Sylvain Klein:
A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers. - Marco F. S. Xaud, Antonio C. Leite, Evelyn S. Barbosa, Henrique D. Faria, Gabriel S. M. Loureiro, Pål Johan From:
Robotic Tankette for Intelligent BioEnergy Agriculture: Design, Development and Field Tests. - Johannes Schneider, Joshua Handali:
Personalized explanation in machine learning. - Kui Xu
A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes. - Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel:
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. - Leonardo Enzo Brito da Silva, Islam El-Nabarawy, Donald C. Wunsch II:
Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence. - Patrick Ah-Fat, Michael Huth:
Scalable Information-Flow Analysis of Secure Three-Party Affine Computations. - Hai-xia Peng, Qiang Ye, Xuemin Shen:
Spectrum Resource Management for Multi-Access Edge Computing in Autonomous Vehicular Networks. - Seungsu Kim, Alexandre Coninx, Stéphane Doncieux:
From exploration to control: learning object manipulation skills through novelty search and local adaptation. - Chen Zheng, Lei Wang, Sally A. McKee, Lixin Zhang, Hainan Ye, Jianfeng Zhan:
XOS: An Application-Defined Operating System for Data Center Servers. - Zhongdong Liu, Bo Ji:
Towards the Tradeoff Between Service Performance and Information Freshness. - Alexander Fengler, Giuseppe Caire, Peter Jung, Saeid Haghighatshoar:
Massive MIMO Unsourced Random Access. - Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres:
Secure Two-Party Feature Selection. - Eric Mazumdar, Michael I. Jordan, S. Shankar Sastry:
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games. - Mohammad Mohammadi Amiri, Deniz Gündüz:
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air. - Sergio Pastrana, Guillermo Suarez-Tangil:
A First Look at the Crypto-Mining Malware Ecosystem: A Decade of Unrestricted Wealth. - Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille:
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions. - Hasan Zakeri, Panos J. Antsaklis:
Passivity and Passivity Indices of Nonlinear Systems Under Operational Limitations using Approximations. - Zhuoran Ji:
HG-Caffe: Mobile and Embedded Neural Network GPU (OpenCL) Inference Engine with FP16 Supporting. - Bradley Gram-Hansen, Patrick Helber, Indhu Varatharajan
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data. - Duo Xu:
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler. - Miaolin Fan, Chun-An Chou, Sheng-Che Yen, Yingzi Lin:
A Network-based Multimodal Data Fusion Approach for Characterizing Dynamic Multimodal Physiological Patterns. - James Stovold:
Trainable Associative Memory Neural Networks in a Quantum-Dot Cellular Automata. - Jeremiah Johnson:
Subspace Match Probably Does Not Accurately Assess the Similarity of Learned Representations. - Hifza Javed, Rachael Burns, Myounghoon Jeon, Ayanna M. Howard, Chung Hyuk Park:
An Interactive Robotic Framework to Facilitate Sensory Experiences for Children with ASD. - Xing Di, He Zhang, Vishal M. Patel:
Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis. - Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk:
Guigle: A GUI Search Engine for Android Apps. - Horia Porav, Tom Bruls, Paul Newman:
I Can See Clearly Now : Image Restoration via De-Raining. - Ghasem Pasandi, Alireza Shafaei, Massoud Pedram:
SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits. - Kostas Drakonakis, Panagiotis Ilia, Sotiris Ioannidis, Jason Polakis:
Please Forget Where I Was Last Summer: The Privacy Risks of Public Location (Meta)Data. - Horia Porav, Paul Newman:
Imminent Collision Mitigation with Reinforcement Learning and Vision. - Michael Mitzenmacher:
A Model for Learned Bloom Filters, and Optimizing by Sandwiching. - Zak Tonks:
On Fast Matrix Inversion via Fast Matrix Multiplication. - Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav:
FastFabric: Scaling Hyperledger Fabric to 20, 000 Transactions per Second. - Mehran Elyasi, Soheil Mohajer:
Cascade Codes For Distributed Storage Systems. - Kai-Cheng Yang, Onur Varol, Clayton A. Davis, Emilio Ferrara, Alessandro Flammini, Filippo Menczer:
Arming the public with AI to counter social bots. - Reza Ghaffari, Roger A. Sauer:
A nonlinear thermomechanical formulation for anisotropic volume and surface continua. - Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential based Heuristics for Solving Markov Decision Processes. - Seungchul Ryu:
Local Area Transform for Cross-Modality Correspondence Matching and Deep Scene Recognition. - Uzi Pereg
The Water Filling Game. - Andrea Mayer, Stefano Salsano, Pier Luigi Ventre, Ahmed Abdelsalam, Luca Chiaraviglio, Clarence Filsfils:
An Efficient Linux Kernel Implementation of Service Function Chaining for legacy VNFs based on IPv6 Segment Routing. - Uzi Pereg, Yossef Steinberg:
The Capacity Region of the Arbitrarily Varying MAC: With and Without Constraints. - Valentin Antuori, Florian Richoux:
Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games. - Carlos Florensa, Jonas Degrave, Nicolas Heess, Jost Tobias Springenberg, Martin A. Riedmiller:
Self-supervised Learning of Image Embedding for Continuous Control. - Nicholas R. Clayton, Hussein A. Abbass:
Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding. - Shayan Tabatabaei Nikkhah
Space Expansion of Feature Selection for Designing more Accurate Error Predictors. - Deli Gong, Muoi Tran, Shweta Shinde, Hao Jin, Vyas Sekar, Prateek Saxena, Min Suk Kang:
Practical Verifiable In-network Filtering for DDoS defense. - Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere:
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. - Matthew Muresan, Liping Fu, Guangyuan Pan:
Adaptive Traffic Signal Control with Deep Reinforcement Learning An Exploratory Investigation. - Guidan Yao, Morteza Hashemi, Ness B. Shroff:
Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling. - Vasanthan Raghavan, Mei-Li Chi, M. Ali Tassoudji, Ozge H. Koymen, Junyi Li:
Antenna Placement and Performance Tradeoffs with Hand Blockage in Millimeter Wave Systems. - Huy Nguyen, Quang-Cuong Pham:
A probabilistic framework for tracking uncertainties in robotic manipulation. - Vasanthan Raghavan, Junyi Li:
Evolution of Physical-Layer Communications Research in the Post-5G Era. - Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann:
Contrastive Adaptation Network for Unsupervised Domain Adaptation. - Alisha Sharma, Jonathan Ventura:
Unsupervised Learning of Depth and Ego-Motion from Panoramic Video. - (Withdrawn) Brief Review of Computational Intelligence Algorithms.
- Alexander A. Sherstov, Pei Wu:
Near-Optimal Lower Bounds on the Threshold Degree and Sign-Rank of AC^0. - Julian Marcon
A variational approach to high-order r-adaptation. - Julian Marcon
High-order curvilinear hybrid mesh generation for CFD simulations. - Ravi Kumar Kolla, Prashanth L. A., Krishna P. Jagannathan:
Risk-aware Multi-armed Bandits Using Conditional Value-at-Risk. - Anna Zeng, Will Crichton:
Identifying Barriers to Adoption for Rust through Online Discourse. - Rongrong Lin, Haizhang Zhang, Jun Zhang:
On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions. - Xiangmin Zhou, Dong Qin, Xiaolu Lu, Lei Chen, Yanchun Zhang:
Online Social Media Recommendation over Streams. - Daniel Ritter, Fredrik Nordvall Forsberg, Stefanie Rinderle-Ma, Norman May:
Catalog of Optimization Strategies and Realizations for Composed Integration Patterns. - Ian M. Mitchell, Jacob Budzis, Andriy Bolyachevets:
Invariant, Viability and Discriminating Kernel Under-Approximation via Zonotope Scaling. - Tong Geng, Tianqi Wang, Ang Li, Xi Jin, Martin C. Herbordt:
A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing. - Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi:
A Joint Model for Multimodal Document Quality Assessment. - Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram:
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding. - Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. - Yeow Meng Chee, Han Mao Kiah, Hengjia Wei:
Efficient and Explicit Balanced Primer Codes. - Daniel Kerrigan, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer
Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks. - Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Jürgen Hesser:
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning. - Junyang Jin, Ye Yuan, Jorge M. Gonçalves:
A Full Bayesian Approach to Sparse Network Inference using Heterogeneous Datasets. - Marco Di Renzo, Jian Song:
Reflection Probability in Wireless Networks with Metasurface-Coated Environmental Objects: An Approach Based on Random Spatial Processes. - Qing Li, Jiasong Zhu, Rui Cao
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization. - Rahul-Vigneswaran K, Soman K. P.:
An Insight into the Dynamics and State Space Modelling of a 3-D Quadrotor. - Aljawharah Alnasser, Hongjian Sun, Jing Jiang:
Cyber Security Challenges and Solutions for V2X Communications: A Survey. - Han Cai, Tuvi Etzion, Moshe Schwartz, Antonia Wachter-Zeh:
Network Coding Solutions for the Combination Network and its Subgraphs. - Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov:
POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds. - Lloyd Montgomery, Guy Evans, Francis Harrison, Daniela E. Damian:
Towards a Live Anonymous Question Queue To Address Student Apprehension. - Xueliang Li, Yuming Yang, Yepang Liu, John P. Gallagher, Kaishun Wu:
Detecting and Diagnosing Energy Issues for Mobile Applications. - Vladimir Kaplun, Michael Segal:
Breaching the privacy of connected vehicles network. - Xiangxiang Chu, Bo Zhang
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search. - Md. Sahidullah, Héctor Delgado, Massimiliano Todisco, Tomi Kinnunen, Nicholas W. D. Evans, Junichi Yamagishi, Kong-Aik Lee:
Introduction to Voice Presentation Attack Detection and Recent Advances. - Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Coverage and Quality Driven Training of Generative Image Models. - Lloyd Montgomery, Daniela E. Damian:
What do Support Analysts Know about Their Customers? On the Study and Prediction of Support Ticket Escalations in Large Software Organizations. - Chenghui Shi, Xiaogang Xu, Shouling Ji, Kai Bu, Jianhai Chen, Raheem A. Beyah, Ting Wang:
Adversarial CAPTCHAs. - Ana Almeida Matos
Information flow in a distributed security setting. - Ankush Garg, Mayank Agarwal:
Machine Translation: A Literature Review. - Kim-Manuel Klein:
About the Complexity of Two-Stage Stochastic IPs. - Rui She, Shanyun Liu, Pingyi Fan:
Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy. - Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka:
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video. - Yuwei Li, Shouling Ji, Chenyang Lv, Yuan Chen, Jianhai Chen, Qinchen Gu, Chunming Wu:
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing. - (Withdrawn) A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques.
- David Yakira, Ido Grayevsky, Avi Asayag:
Rational Threshold Cryptosystems. - Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan:
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. - Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan:
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. - Junghoon Kim, Bruno Clerckx, Paul D. Mitcheson:
Signal and System Design for Wireless Power Transfer : Prototype, Experiment and Validation. - Daniel Gruss, Erik Kraft, Trishita Tiwari, Michael Schwarz, Ari Trachtenberg, Jason Hennessey, Alex Ionescu, Anders Fogh:
Page Cache Attacks. - Rodrigo Rivera, M. Andrea Rodríguez, Diego Seco:
Faster and Smaller Two-Level Index for Network-based Trajectories. - Adi Rosén, Florent Urrutia:
A New Approach to Multi-Party Peer-to-Peer Communication Complexity. - Sajad Movahedi, Erfan Ghadery, Heshaam Faili, Azadeh Shakery:
Aspect Category Detection via Topic-Attention Network. - Aziz Mohaisen, Omar Alrawi, Jeman Park, Joongheon Kim, DaeHun Nyang, Manar Mohaisen:
Network-based Analysis and Classification of Malware using Behavioral Artifacts Ordering. - Ra'Fat Al-Msie'deen, Anas H. Blasi:
Supporting software documentation with source code summarization. - Jonnahtan Saltarin, Torsten Braun, Eirina Bourtsoulatze, Nikolaos Thomos:
PopNetCod: A Popularity-based Caching Policy for Network Coding enabled Named Data Networking. - Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra:
Learning Sound Event Classifiers from Web Audio with Noisy Labels. - Tomasz K. Konopczynski, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data. - Tomasz K. Konopczynski, Danish Rathore, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. - Fernando A. Morales, Jairo A. Martínez:
On the Implementation and Assessment of several Divide & Conquer Matheuristic Strategies for the solution of the Knapsack Problem. - Marc Tanti, Albert Gatt, Kenneth P. Camilleri:
Transfer learning from language models to image caption generators: Better models may not transfer better. - Yuxin Ren, Vlad Nitu, Guyue Liu, Gabriel Parmer, Timothy Wood, Alain Tchana, Riley Kennedy:
Efficient, Dynamic Multi-tenant Edge Computation in EdgeOS. - Xurong Li, Shouling Ji, Meng Han, Juntao Ji, Zhenyu Ren, Yushan Liu, Chunming Wu:
Adversarial Examples versus Cloud-based Detectors: A Black-box Empirical Study. - Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. - Shusil Dangi, Ziv Yaniv, Cristian A. Linte:
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation. - Ke Li, Jinyu Li, Yong Zhao, Kshitiz Kumar, Yifan Gong:
Speaker Adaptation for End-to-End CTC Models. - Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
Learning Graph Embedding with Adversarial Training Methods. - Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm:
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. - Prakruthi Karuna, Hemant Purohit, Vivian Motti:
UTPO: User's Trust Profile Ontology - Modeling trust towards Online Health Information Sources. - Berksan Serbetci, Ali Emre Pusane:
Practical Polar Code Construction Using Generalised Generator Matrices. - Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan:
On the Utility of Model Learning in HRI. - Anastasia Mavridou, Aron Laszka, Emmanouela Stachtiari, Abhishek Dubey:
VeriSolid: Correct-by-Design Smart Contracts for Ethereum. - Roi Ceren:
Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning. - Mengsu Chen, Felix Fischer, Na Meng, Xiaoyin Wang, Jens Grossklags:
How Reliable is the Crowdsourced Knowledge of Security Implementation? - Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin:
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory. - Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael J. Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean N. Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman R. Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron S. Pope, Reid B. Porter, Chris Rawlings, Hannah Reinbolt, Reid D. Rivenburgh, Philip Romero, Kevin Schoonover, Alexei N. Skurikhin, Daniel R. Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring:
The ISTI Rapid Response on Exploring Cloud Computing 2018. - Elena Agostini, Massimo Bernaschi:
BitCracker: BitLocker meets GPUs. - Viacheslav Dubeyko:
File System in Data-Centric Computing. - Linas Vepstas:
Sheaves: A Topological Approach to Big Data. - Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. - Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks with convolutional ARMA filters. - Lloyd Montgomery, Emma Reading, Daniela E. Damian:
ECrits - Visualizing Support Ticket Escalation Risk. - Hooman Peiro Sajjad, Andrew Docherty, Yuriy Tyshetskiy
Efficient Representation Learning Using Random Walks for Dynamic Graphs. - Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. - Andre Gustavo Degraf Uchoa, Rodrigo C. de Lamare:
Coding Techniques for Future Wi-Fi. - Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula:
Metrics matter in community detection. - Lin Zhou, Alfred O. Hero III:
Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information. - Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama:
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization. - Ningning Wang, Xiaojin Gong:
Adaptive Fusion for RGB-D Salient Object Detection. - Jian Wang, Tianfan Xue, Jonathan T. Barron, Jiawen Chen:
Stereoscopic Dark Flash for Low-light Photography. - Vikram Saraph, Maurice Herlihy:
An Empirical Study of Speculative Concurrency in Ethereum Smart Contracts. - Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems. - Enlu Lin, Qiong Chen, Xiaoming Qi:
Deep Reinforcement Learning for Imbalanced Classification. - Jiong Wu, Xiaoying Tang:
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles. - Amir Abboud, Robert Krauthgamer, Ohad Trabelsi:
New Algorithms and Lower Bounds for All-Pairs Max-Flow in Undirected Graphs. - Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool:
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. - Evripidis Tzamousis, Maria Papadopouli:
On hybrid modular recommendation systems for video streaming. - Golnoosh Garakani, Hamed Ghane, Mohammad Bagher Menhaj:
Control of a 2-DoF robotic arm using a P300-based brain-computer interface. - Ivan Ovinnikov:
Poincaré Wasserstein Autoencoder. - Imad Rida, Sambit Bakshi, Xiaojun Chang, Hugo Proença:
Forensic Shoe-print Identification: A Brief Survey. - Wenqiang Yi, Yuanwei Liu, Eliane L. Bodanese, Arumugam Nallanathan, George K. Karagiannidis:
A Unified Spatial Framework for UAV-aided MmWave Networks. - Danish Sattar, Ashraf Matrawy:
Towards Secure Slicing: Using Slice Isolation to Mitigate DDoS Attacks on 5G Core Network Slices. - Kevin M. Judd, Jonathan D. Gammell
The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth. - Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer. - Katarína Hrabovská, Bruno Rossi
Software Testing Process Models Benefits & Drawbacks: a Systematic Literature Review. - Hongming Li, Yong Fan:
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. - Nir Shlezinger, Or Dicker, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith:
Dynamic Metasurface Antennas for Uplink Massive MIMO Systems. - Usman Ahmad, Hong Song, Awais Bilal, Shahid Mahmood, Asad Ullah, Uzair Saeed:
Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data. - Kevin Lin
Subgoals, Problem Solving Phases, and Sources of Knowledge: A Complex Mangle. - Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Lina Maria Rojas-Barahona, Bo-Hsiang Tseng, Yen-Chen Wu, Steve J. Young, Milica Gasic:
Addressing Objects and Their Relations: The Conversational Entity Dialogue Model. - Yujuan Ding, Wai Keung Wong, Zhihui Lai, Zheng Zhang:
Bilinear Supervised Hashing Based on 2D Image Features. - Therese Biedl, Ahmad Biniaz, Veronika Irvine, Kshitij Jain, Philipp Kindermann, Anna Lubiw:
Maximum Matchings and Minimum Blocking Sets in Θ6-Graphs. - Isuru S. Godage, Robert J. Webster III, Ian D. Walker:
Center of Gravity-based Approach for Modeling Dynamics of Multisection Continuum Arms. - Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel:
LanczosNet: Multi-Scale Deep Graph Convolutional Networks. - Jun Hyung Shin, Florin Rusu, Alex Suhan:
Exact Selectivity Computation for Modern In-Memory Database Query Optimization. - Daniel Gordon, Dieter Fox, Ali Farhadi:
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning. - Huayu Li:
Channel Locality Block: A Variant of Squeeze-and-Excitation. - Zheng Zhu, Qingbin Wang, Wei Zou, Feng Zhang:
Motion Control on Bionic Eyes: A Comprehensive Review. - Usman A. Fiaz, Jeff S. Shamma
usBot: A Modular Robotic Testbed for Programmable Self-Assembly. - Xuezhe Ma, Chunting Zhou, Eduard H. Hovy:
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. - Ryen Krusinga, Sohil Shah, Matthias Zwicker, Tom Goldstein, David W. Jacobs:
Understanding the (un)interpretability of natural image distributions using generative models. - Md Tarique Jamal Ansari, Dhirendra Pandey, Mamdouh Alenezi:
STORE: Security Threat Oriented Requirements Engineering Methodology. - Yuzhong Wu, Tan Lee:
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification. - Karl Bringmann, Marvin Künnemann, André Nusser:
Walking the Dog Fast in Practice: Algorithm Engineering of the Fréchet Distance. - Qingkai Liang, Eytan H. Modiano:
Optimal Network Control in Partially-Controllable Networks. - Madanagopal Ramachandran, Krishna M. Sivalingam:
Path Computation for Provisioning in Multi-Technology Multi-Layer Transport Networks. - Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials. - Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring applications of deep reinforcement learning for real-world autonomous driving systems. - Andrea Arcuri:
RESTful API Automated Test Case Generation. - Andrea Arcuri:
Many Independent Objective (MIO) Algorithm for Test Suite Generation. - Zehua Cheng, Zhenghua Xu:
Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce. - Guojun Chen, Xianghong Lin, Guoen Wang:
An online supervised learning algorithm based on triple spikes for spiking neural networks. - Tariq Alshawi, Zhiling Long, Ghassan AlRegib:
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection. - Shaodi Qian, Sheng-Che Yen, Eric Folmar, Chun-An Chou:
Self-Expressive Subspace Clustering to Recognize Motion Dynamics of a Multi-Joint Coordination for Chronic Ankle Instability. - Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Jürgen Hesser:
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images. - Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang:
Learning Nonlinear Mixtures: Identifiability and Algorithm. - Songyao Jiang, Zhiqiang Tao, Yun Fu:
Segmentation Guided Image-to-Image Translation with Adversarial Networks. - Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao:
Transductive Zero-Shot Learning with Visual Structure Constraint. - Elie Najm, Emre Telatar, Rajai Nasser:
Optimal Age over Erasure Channels. - Yunsu Kim, Andreas Guta, Joern Wuebker, Hermann Ney:
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing. - Jeffery Kinnison, Mateusz Trokielewicz, Camila Carballo, Adam Czajka, Walter J. Scheirer:
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples. - Nathalie Cauchi, Luca Laurenti, Morteza Lahijanian, Alessandro Abate, Marta Kwiatkowska, Luca Cardelli:
Efficiency through Uncertainty: Scalable Formal Synthesis for Stochastic Hybrid Systems. - Yunsu Kim, Julian Schamper, Hermann Ney:
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. - Suraj Mishra, Peixian Liang, Adam Czajka, Danny Z. Chen, Xiaobo Sharon Hu:
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation. - W. W. N. C. K. Palagolla, A. P. R. Wickramarachchi
Promoting effective application and management of ICT to enhance performance in secondary schools. - Yue Zhao
PyOD: A Python Toolbox for Scalable Outlier Detection. - Yunsu Kim, Jiahui Geng, Hermann Ney:
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. - Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado:
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks. - Saeed Valizadeh, Marten van Dijk:
Toward a Theory of Cyber Attacks. - Maria Plakia, Evripides Tzamousis, Thomais Asvestopoulou, Giorgos Pantermakis, Nick Filippakis, Henning Schulzrinne, Yana Kane-Esrig, Maria Papadopouli:
Should I stay or should I go: Analysis of the impact of application QoS on user engagement in YouTube. - Yiwei Zhang, Eitan Yaakobi, Tuvi Etzion:
Bounds on the Length of Functional PIR and Batch codes. - Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons:
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. - Derek M. Jones, Stephen Cullum:
A conversation around the analysis of the SiP effort estimation dataset. - Jian-Jian Weng, Fady Alajaji, Tamás Linder:
Joint Source-Channel Coding for the Transmission of Correlated Sources over Two-Way Channels. - Shin-Yeh Tsai, Yiying Zhang:
Building Atomic, Crash-Consistent Data Stores with Disaggregated Persistent Memory. - Amir Abboud, Keren Censor-Hillel, Seri Khoury, Ami Paz:
Smaller Cuts, Higher Lower Bounds. - Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei:
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. - Ke Liu, Shin-Yeh Tsai, Yiying Zhang:
ATP: a Datacenter Approximate Transmission Protocol. - Quan Yuan, Junxia Li, Lingwei Zhang, Zhefu Wu, Guangyu Liu:
Blind Motion Deblurring with Cycle Generative Adversarial Networks. - Jovelyn C. Cuizon
Text Mining Customer Reviews For Aspect-based Restaurant Rating. - Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng:
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks. - Gary P. T. Choi, Hei Long Chan, Robin Yong, Sarbin Ranjitkar, Alan Brook, Grant Townsend, Ke Chen, Lok Ming Lui:
Tooth morphometry using quasi-conformal theory. - Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao:
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. - Xuan He, Kui Cai, Wentu Song, Zhen Mei:
Dynamic Programming for Discrete Memoryless Channel Quantization. - Zhipeng Zhang, Houwen Peng, Qiang Wang:
Deeper and Wider Siamese Networks for Real-Time Visual Tracking. - Giulia Fanti, Nina Holden, Yuval Peres, Gireeja Ranade:
Communication cost of consensus for nodes with limited memory. - Vaishnavh Nagarajan, J. Zico Kolter:
Generalization in Deep Networks: The Role of Distance from Initialization. - Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. - Fayyaz ul Amir Afsar Minhas, Amina Asif, Asa Ben-Hur:
Ten ways to fool the masses with machine learning. - Karol Grzegorczyk:
Vector representations of text data in deep learning. - Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang:
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. - Roberto Doriguzzi Corin, Sandra Scott-Hayward, Domenico Siracusa, Marco Savi, Elio Salvadori:
Dynamic and Application-Aware Provisioning of Chained Virtual Security Network Functions. - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Universal Deep Beamformer for Variable Rate Ultrasound Imaging. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation. - Yoshitaka Yamamoto, Yasuo Tabei, Koji Iwanuma:
Approximate-Closed-Itemset Mining for Streaming Data Under Resource Constraint. - Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin:
Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion. - Xiao Shen, Fu-Lai Chung:
Deep Network Embedding for Graph Representation Learning in Signed Networks. - Libo Li, Stefan Lessmann, Bart Baesens:
Evaluating software defect prediction performance: an updated benchmarking study. - Wil O. C. Ward, Mauricio A. Álvarez:
Variational bridge constructs for approximate Gaussian process regression. - Justin P. Coon, Mihai-Alin Badiu, Ye Liu, Ferhat Yarkin, Shuping Dang:
Binary-Tree Encoding for Uniform Binary Sources in Index Modulation Systems. - Morteza Varasteh, Borzoo Rassouli, Bruno Clerckx:
SWIPT Signalling over Frequency-Selective Channels with a Nonlinear Energy Harvester: Non-Zero Mean and Asymmetric Inputs. - Loreto Pescosolido, Marco Conti, Andrea Passarella:
D2D Data Offloading in Vehicular Environments with Optimal Delivery Time Selection. - Adriano S. Koshiyama, Nick Firoozye
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. - Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. - Mathias Morbitzer
Extracting Secrets from Encrypted Virtual Machines. - Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia:
Human Pose Estimation with Spatial Contextual Information. - Théophane Weber, Nicolas Heess, Lars Buesing, David Silver:
Credit Assignment Techniques in Stochastic Computation Graphs. - Ali Gholami Rudi:
Approximate Discontinuous Trajectory Hotspots. - Jian Wen, Xuebo Zhang, Haiming Gao, Jing Yuan, Yongchun Fang:
CAE-RLSM: Consistent and Efficient Redundant Line Segment Merging for Online Feature Map Building. - Mansoor Ahmed-Rengers, Ilia Shumailov, Ross Anderson:
Tendrils of Crime: Visualizing the Diffusion of Stolen Bitcoins. - Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis, Zhiang Wu:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. - Niklas Kochdumper, Matthias Althoff:
Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis. - Faizal M. F. Hafiz, Akshya Swain, Eduardo Mazoni Andrade Marçal Mendes:
Orthogonal Floating Search Algorithms: From The Perspective of Nonlinear System Identification. - Zdenek Dvorák:
Baker game and polynomial-time approximation schemes. - Jian Vora:
Stochastic Approximation Algorithms for Principal Component Analysis. - Panagiotis Paraskevas Filntisis, Niki Efthymiou, Petros Koutras, Gerasimos Potamianos, Petros Maragos:
Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction. - Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus:
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair. - Emmanouil Kolezakis
An ERP Implementation Method : Studying a Pharmaceutical Company. - Tor Kristian Veld, John Krogstie:
Information Systems Development and Evolution: A replication study on work distribution in Norwegian Organizations. - Varun Mathur:
Literature Review: Smart Contract Semantics. - Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou:
A dual mode adaptive basal-bolus advisor based on reinforcement learning. - Luiz Fernando Capretz, Faheem Ahmed:
A Call to Promote Soft Skills in Software Engineering. - Zineb Mcharfi, Bouchra El Asri, Abdelaziz Kriouile:
A Systematic Review of Tracing Solutions in Software Product Lines. - Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Francesco Concas, Pengfei Xu, Mohammad Ashraful Hoque, Jiaheng Lu, Sasu Tarkoma:
Multiple Set Matching and Pre-Filtering with Bloom Multifilters. - Elias Alevizos, Alexander Artikis, Georgios Paliouras:
Wayeb: a Tool for Complex Event Forecasting. - Christophe Lecoutre, Olivier Roussel:
Proceedings of the 2018 XCSP3 Competition. - Mihir Jain, Kyle Brown, Ahmed K. Sadek:
Multi-Fidelity Recursive Behavior Prediction. - Bao-Gang Hu, Weiming Dong:
"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds. - Robert Leppert, Karl-Heinz Zimmermann:
Inference in Graded Bayesian Networks. - Roberto Gerson de Albuquerque Azevedo, Neil Birkbeck, Francesca De Simone, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
Visual Distortions in 360-degree Videos. - Roman V. Yampolskiy:
Personal Universes: A Solution to the Multi-Agent Value Alignment Problem. - Qiaobin Kuang, Jie Gong, Xiang Chen, Xiao Ma:
Age-of-Information for Computation-Intensive Messages in Mobile Edge Computing. - (Withdrawn) A* Tree Search for Portfolio Management.
- Krishn Bera, Tejas Savalia, S. Bapi Raju:
A Computational Framework for Motor Skill Acquisition. - Sean T. Yang, Kuan-Hao Huang, Bill Howe:
MultiDEC: Multi-Modal Clustering of Image-Caption Pairs. - Esther Galby, Paloma T. Lima, Daniël Paulusma
On the Parameterized Complexity of k-Edge Colouring. - Viet-Hoang Tran, Olivier Bonaventure:
Beyond socket options: making the Linux TCP stack truly extensible. - Robert Laddaga, Paul Robertson, Howard E. Shrobe, Dan Cerys, Prakash Manghwani, Patrik Meijer:
Deriving Cyber-security Requirements for Cyber Physical Systems. - Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi:
Low-Shot Learning from Imaginary 3D Model. - Dennis Rohde:
Coresets for (k, l)-Clustering under the Fréchet Distance. - Yifei Huang, Zhenqiang Li, Minjie Cai, Yoichi Sato:
Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions. - Siyao Li, Daniela Tuninetti
On the Capacity Region of the Layered Packet Erasure Broadcast Channel with Feedback. - Xu Chen, Jie Song, Otmar Hilliges:
NVS Machines: Learning Novel View Synthesis with Fine-grained View Control. - Chanaka Lakmal, Sachithra Dangalla, Chandu Herath, Chamin Wickramarathna, Gihan Dias, Shantha Fernando:
IDStack - The Common Protocol for Document Verification built on Digital Signatures. - Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Scale-Aware Trident Networks for Object Detection. - Nicola di Pietro, Mattia Merluzzi, Emilio Calvanese Strinati, Sergio Barbarossa:
Resilient Design of 5G Mobile-Edge Computing Over Intermittent mmWave Links. - Petar Maymounkov:
Koji: Automating pipelines with mixed-semantics data sources. - Shahbaz Ali, Hailong Sun, Yongwang Zhao:
Model Learning: A Survey on Foundation, Tools and Applications. - Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti:
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure. - Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright:
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution. - Jason R. C. Nurse, Maria Bada:
The Group Element of Cybercrime: Types, Dynamics, and Criminal Operations. - Daniel Dietsch, Matthias Heizmann, Jochen Hoenicke, Alexander Nutz, Andreas Podelski:
Different Maps for Different Uses. A Program Transformation for Intermediate Verification Languages. - Rui Chen, Christos G. Cassandras:
Optimization of Ride Sharing Systems Using Event-driven Receding Horizon Control. - Evan M. Peck, Sofia E. Ayuso, Omar El-Etr:
Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania. - Grzegorz Guspiel:
An in-place, subquadratic algorithm for permutation inversion. - Marcelo Gennari, Roger Fawcett, Victor Adrian Prisacariu:
DSConv: Efficient Convolution Operator. - Joseph M. Hellerstein, Peter Alvaro:
Keeping CALM: When Distributed Consistency is Easy. - Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani, Nasser M. Nasrabadi:
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks. - Pooja Vyavahare, Lili Su, Nitin H. Vaidya:
Distributed Learning with Adversarial Agents Under Relaxed Network Condition. - Nataly Cruces, Diego Seco, Gilberto Gutiérrez:
A Compact Representation of Raster Time Series. - Qian Feng, Sing Kiong Nguang:
Dissipative Stabilization for Linear Systems with Time-Varying General Distributed Delays. - Lingchuan Meng, John Brothers:
Efficient Winograd Convolution via Integer Arithmetic. - Julian Marcon
A semi-structured approach to curvilinear mesh generation around streamlined bodies. - Wenqi Lu, Jinming Duan, David Orive-Miguel, Lionel Hervé, Iain B. Styles:
Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography. - José Cláudio do Nascimento:
Decision-making and Fuzzy Temporal Logic. - Zhe Cao, Abhishek Kar, Christian Häne, Jitendra Malik:
Learning Independent Object Motion from Unlabelled Stereoscopic Videos. - Joseph M. Hellerstein:
Looking Back at Postgres. - Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. - Ke Ma, P. R. Kumar:
Incentive Compatibility in Stochastic Dynamic Systems. - Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network. - Donghyeon Han, Hoi-Jun Yoo:
Efficient Convolutional Neural Network Training with Direct Feedback Alignment. - Fernando J. Corbacho:
Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I). - Vincent Liu, Ademi Adeniji, Nathaniel Lee, Jason Zhao, Mario Srouji:
Recurrent Control Nets for Deep Reinforcement Learning. - Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin:
Truncated nuclear norm regularization for low-rank tensor completion. - Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso:
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets. - Mohsen Ahmadi Fahandar, Eyke Hüllermeier:
Analogy-Based Preference Learning with Kernels. - Raul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas:
Self-Supervised Learning from Web Data for Multimodal Retrieval. - B. R. Vinay Kumar, Roshan Antony, Navin Kashyap:
The Effect of Introducing Redundancy in a Probabilistic Forwarding Protocol. - Roi Ceren, Shannon Quinn, Glen Raines:
Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss. - Tanmay Randhavane, Aniket Bera, Emily Kubin, Kurt Gray, Dinesh Manocha:
Modeling Data-Driven Dominance Traits for Virtual Characters using Gait Analysis. - Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner:
Spherical CNNs on Unstructured Grids. - Yunxi Xiong, Yuankai Huo, Jiachen Wang, Larry Taylor Davis, Maureen McHugo, Bennett A. Landman:
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols. - Mehrdad Tahmasbi, Matthieu R. Bloch:
Covert Secret Key Generation with an Active Warden. - Virag Shah, Jose H. Blanchet, Ramesh Johari:
Semi-parametric dynamic contextual pricing. - Hui Jiang:
A New Perspective on Machine Learning: How to do Perfect Supervised Learning. - Guilherme Damasio, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Alexandar Mihaylov, Jaroslaw Szlichta, Calisto Zuzarte:
Guided Automated Learning for query workload re-Optimization. - Sangwook Park, David K. Han, Hanseok Ko:
Sinusoidal wave generating network based on adversarial learning and its application: synthesizing frog sounds for data augmentation. - Honghui Du, Leandro L. Minku, Huiyu Zhou:
Multi-Source Transfer Learning for Non-Stationary Environments. - Anish Acharya:
Detecting the Trend in Musical Taste over the Decade - A Novel Feature Extraction Algorithm to Classify Musical Content with Simple Features. - Cédric Lopez, Molka Dhouib
SMILK, linking natural language and data from the web. - Hideo Hirose:
Prediction of Success or Failure for Final Examination using Nearest Neighbor Method to the Trend of Weekly Online Testing. - Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding:
Artificial Intelligent Diagnosis and Monitoring in Manufacturing. - Morteza Haghir Chehreghani:
Reliable Agglomerative Clustering. - Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar:
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. - Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. - Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. - Umberto Martínez-Peñas, Diego Napp:
Locally Repairable Convolutional Codes with Sliding Window Repair. - Claudio Menghi, Christos Tsigkanos, Patrizio Pelliccione, Carlo Ghezzi, Thorsten Berger:
Specification Patterns for Robotic Missions. - Stephen Phillips, Kostas Daniilidis:
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks. - Artur Nowak, Pawel Kunstman
Team EP at TAC 2018: Automating data extraction in systematic reviews of environmental agents. - Ge Chen, Wei Su, Wenjun Mei, Francesco Bullo:
Convergence Properties of the Heterogeneous Deffuant-Weisbuch Model. - Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han:
Optimal Differentially Private ADMM for Distributed Machine Learning. - Sayak Mukherjee, Aranya Chakrabortty, Saman Babaei:
Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency. - Maxim Naumov:
On the Dimensionality of Embeddings for Sparse Features and Data. - Philip M. Long, Hanie Sedghi:
On the effect of the activation function on the distribution of hidden nodes in a deep network. - Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström:
Dynamics are Important for the Recognition of Equine Pain in Video. - Maryam Mohseni, S. Alireza Banani, Andrew W. Eckford, Raviraj S. Adve:
Scheduling for VoLTE: Resource Allocation Optimization and Low-Complexity Algorithms. - Yixue Hao, Yiming Miao, Yuanwen Tian, Long Hu, M. Shamim Hossain, Ghulam Muhammad, Syed Umar Amin:
Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT. - Jiecao Yu, Jongsoo Park, Maxim Naumov:
Spatial-Winograd Pruning Enabling Sparse Winograd Convolution. - Abhishek Sehgal, Nasser Kehtarnavaz:
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps. - Yu Song, Shengping Gong:
Solar-Sail Deep Space Trajectory Optimization Using Successive Convex Programming. - Sachithra Dangalla, Chanaka Lakmal, Chamin Wickramarathna, Chandu Herath, Gihan Dias, Shantha Fernando:
Measuring the Correlation of Personal Identity Documents in Structured Format. - Ahmet Faruk Cakmak, Muhammet Balcilar:
Audio Captcha Recognition Using RastaPLP Features by SVM. - Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo:
Ensembles of feedforward-designed convolutional neural networks. - Sourav Medya, Arlei Silva, Ambuj K. Singh:
Influence Minimization Under Budget and Matroid Constraints: Extended Version. - Daniel S. Brown, Yuchen Cui, Scott Niekum:
Risk-Aware Active Inverse Reinforcement Learning. - Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh:
K-Core Minimization: A Game Theoretic Approach. - Yu Song, Shengping Gong:
Solar-Sail Trajectory Design of Multiple Near Earth Asteroids Exploration Based on Deep Neural Network. - Qisheng Wang, Junyi Liu, Mingsheng Ying:
Equivalence Checking of Quantum Finite-State Machines. - Vishrant Tripathi, Rajat Talak, Eytan H. Modiano:
Age Optimal Information Gathering and Dissemination on Graphs. - Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang:
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks. - Anh T. Pham, Shalini Ghosh, Vinod Yegneswaran:
Data Masking with Privacy Guarantees. - Karthika Venkatesan, Sujit Kumar Chakrabarti:
StaBL - State Based Language for Specification of Web Applications. - Yu Huang, Hengfeng Wei, Maosen Huang, Lingzhi Ouyang:
Inversion-based Measurement of Data Consistency for Read/Write Registers. - Dietrich Kuske, Georg Zetzsche:
Languages ordered by the subword order. - Gilad Ostrin, Jérémy Frey
Interactive Narrative in Virtual Reality. - Louis Clouâtre, Marc Demers:
FIGR: Few-shot Image Generation with Reptile. - Kaixuan Long, Chencheng Ye, Ying Cui, Zhi Liu:
Optimal Multi-Quality Multicast for 360 Virtual Reality Video. - Geevarghese Philip, Varun Rajan, Saket Saurabh, Prafullkumar Tale:
Subset Feedback Vertex Set in Chordal and Split Graphs. - Umur Aybars Ciftci, Ilke Demir
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals. - Roman Blum, Thomas Bocek:
Superlight - A Permissionless, Light-client Only Blockchain with Self-Contained Proofs and BLS Signatures. - Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning. - Philipp Grohs, Dmytro Perekrestenko, Dennis Elbrächter, Helmut Bölcskei:
Deep Neural Network Approximation Theory. - Christian A. Söldner, Eileen Socher, Vahid Jamali, Wayan Wicke, Arman Ahmadzadeh, Hans-Georg Breitinger, Andreas Burkovski, Robert Schober, Heinrich Sticht:
A Survey of Biological Building Blocks for Synthetic Molecular Communication Systems. - Chunhua Liu, Shan Jiang, Hainan Yu, Dong Yu:
Multi-turn Inference Matching Network for Natural Language Inference. - Krishna Kanth Nakka, Mathieu Salzmann:
Interpretable BoW Networks for Adversarial Example Detection. - Laurent Orseau, Tor Lattimore, Shane Legg:
Soft-Bayes: Prod for Mixtures of Experts with Log-Loss. - Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang:
3D Object Detection Using Scale Invariant and Feature Reweighting Networks. - Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, Peter R. Pietzuch:
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers. - Chunhua Liu, Haiou Zhang, Shan Jiang, Dong Yu:
DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension. - Ibtissam El Hassani, Choumicha El Mazgualdi, Tawfik Masrour:
Artificial Intelligence and Machine Learning to Predict and Improve Efficiency in Manufacturing Industry. - Chunhua Liu, Yan Zhao, Qingyi Si, Haiou Zhang, Bohan Li, Dong Yu:
Multi-Perspective Fusion Network for Commonsense Reading Comprehension. - Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita:
Multi-style Generative Reading Comprehension. - Sandhya Tripathi, Nandyala Hemachandra:
Cost Sensitive Learning in the Presence of Symmetric Label Noise. - Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen:
Improved encoding and decoding for non-adaptive threshold group testing. - Xu Chen, Jie Song, Otmar Hilliges:
Unpaired Pose Guided Human Image Generation. - Min Jang, Seok-Ki Ahn, Hongsil Jeong, Kyung-Joong Kim, Seho Myung, Sang-Hyo Kim, Kyeongcheol Yang:
Rate matching for polar codes based on binary domination. - Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE). - Andres Ferraro
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation. - Benjamin Sliwa, Stefan Falten, Christian Wietfeld:
Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-based Mobile Ad-hoc Networks. - Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions. - Kishan Prudhvi Guddanti, Amarsagar Reddy Ramapuram Matavalam, Yang Weng:
Analytically Exact Distributed Voltage Stability Index based on Power Flow Circles. - Evgenii Vinogradov, Hazem Sallouha, Sibren De Bast, Mohammad Mahdi Azari, Sofie Pollin:
Tutorial on UAV: A Blue Sky View on Wireless Communication. - Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty. - Kae-An Liu, Hans-Dieter Lang, Costas D. Sarris:
Computation of High-Order Electromagnetic Field Derivatives with FDTD and the Complex-Step Derivative Approximation. - Zhengkun Yi, Cheng Li:
Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach. - Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel:
Fusion Strategies for Learning User Embeddings with Neural Networks. - Maryam Jaberi, Marianna Pensky, Hassan Foroosh:
Sparse One-Time Grab Sampling of Inliers. - Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-wise Learnability Across Deep Neural Network Models. - Yundong Zhang, Xiang Xu, Xiaotao Liu:
Robust and High Performance Face Detector. - Huibing Wang, Haohao Li, Xianping Fu:
Auto-weighted Mutli-view Sparse Reconstructive Embedding. - Keith M. Smith:
On neighbourhood degree sequences of complex networks. - Xiao Dong, Ling Zhou:
Geometrization of deep networks for the interpretability of deep learning systems. - Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Mingwang Zhu, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan:
Efforts estimation of doctors annotating medical image. - Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma:
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. - Shantanu Shahane, Narayana R. Aluru, Placid M. Ferreira, Shiv G. Kapoor, Surya Pratap Vanka:
Genetic Algorithm based Multi-Objective Optimization of Solidification in Die Casting using Deep Neural Network as Surrogate Model. - Dharmesh Tailor, Dario Izzo:
Learning the optimal state-feedback via supervised imitation learning. - Shen Wang, Ahmad F. Taha, Jianhui Wang, Karla Kvaternik, Adam Hahn:
Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids. - Suman K. Bera, Deeparnab Chakrabarty, Maryam Negahbani:
Fair Algorithms for Clustering. - Sarah E. Anderson, Ann Johnston, Gauri Joshi, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin:
Service Rate Region of Content Access from Erasure Coded Storage. - Jamie Hayes, Olga Ohrimenko:
Contamination Attacks and Mitigation in Multi-Party Machine Learning. - Ori Bar El, Ori Licht, Netanel Yosephian:
GILT: Generating Images from Long Text. - Ranjan Mondal, Pulak Purkait, Sanchayan Santra, Bhabatosh Chanda:
Morphological Networks for Image De-raining. - Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai, Atanu R. Sinha:
Forecasting Granular Audience Size for Online Advertising. - Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Interpretable CNNs. - Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
A queueing-theoretic model for resource allocation in one-dimensional distributed service network. - Ramtin Zand, Ronald F. DeMara:
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks. - Sen Jia, Neil D. B. Bruce:
Richer and Deeper Supervision Network for Salient Object Detection. - Florian Kammüller, Oladapo O. Ogunyanwo, Christian W. Probst:
Designing Data Protection for GDPR Compliance into IoT Healthcare Systems. - Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. - Liyao Gao, Zehua Cheng:
Learning with Collaborative Neural Network Group by Reflection. - Sergij V. Goncharov:
Using fuzzy bits and neural networks to partially invert few rounds of some cryptographic hash functions. - Alkida Balliu, Sebastian Brandt, Juho Hirvonen, Dennis Olivetti, Mikaël Rabie, Jukka Suomela:
Lower bounds for maximal matchings and maximal independent sets. - Joseph L. Betthauser, John T. Krall, Rahul R. Kaliki, Matthew S. Fifer, Nitish V. Thakor:
Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks. - Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang:
Unseen Object Segmentation in Videos via Transferable Representations. - Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. - Houssam-Eddine Zahaf, Nicola Capodieci, Roberto Cavicchioli, Marko Bertogna, Giuseppe Lipari:
A C-DAG task model for scheduling complex real-time tasks on heterogeneous platforms: preemption matters. - Yang Li, Sangwhan Cha:
Face Recognition System. - Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz:
Neural Inverse Rendering of an Indoor Scene from a Single Image. - Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak:
Bilinear Bandits with Low-rank Structure. - Alexia Jolicoeur-Martineau:
On Relativistic f-Divergences. - Lorenzo Frigerio, Anderson Santana de Oliveira, Laurent Gomez, Patrick Duverger:
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data. - Victor Makarenkov, Lior Rokach, Bracha Shapira:
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. - Dekel Tsur:
Faster parameterized algorithm for pumpkin vertex deletion set. - Andrés Estrella Terneux
Presence-absence estimation in audio recordings of tropical frog communities. - Da Ma, Manuel Jorge Cardoso
Grey matter sublayer thickness estimation in themouse cerebellum. - Fereshteh S. Bashiri, Reihaneh Rostami, Peggy L. Peissig, Roshan M. D'Souza, Zeyun Yu:
An Application of Manifold Learning in Global Shape Descriptors. - Sawsen Ben Nasr:
New approach for a stable multi-criteria ridesharing system. - Ganesh Sistu, Sumanth Chennupati, Senthil Kumar Yogamani:
Multi-stream CNN based Video Semantic Segmentation for Automated Driving. - Stephanie Ger, Diego Klabjan:
Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences. - Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth:
On the Capabilities and Limitations of Reasoning for Natural Language Understanding. - Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman:
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. - Dong Huk Park, Trevor Darrell, Anna Rohrbach:
Viewpoint Invariant Change Captioning. - Xuan Thanh Nguyen, Thi Duyen Ngo, Thanh Ha Lê:
A Spatial-temporal 3D Human Pose Reconstruction Framework. - Xiaohu Lu, Yahui Liu, Kai Li:
Fast 3D Line Segment Detection From Unorganized Point Cloud. - Nicolas Harrand, Simon Allier, Marcelino Rodriguez-Cancio, Martin Monperrus, Benoit Baudry:
A Journey Among Java Neutral Program Variants. - Christopher Malon:
Team Papelo: Transformer Networks at FEVER. - Chris Umans:
Fast generalized DFTs for all finite groups. - Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Collaborative Execution of Deep Neural Networks on Internet of Things Devices. - Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. - Shlomo Engelson Argamon:
Computational Register Analysis and Synthesis. - Samir Passi, Solon Barocas:
Problem Formulation and Fairness. - Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev:
Deep Neural Networks Predicting Oil Movement in a Development Unit. - Aron Yu, Kristen Grauman:
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. - Peter B. Rønne, Arash Atashpendar, Kristian Gjøsteen, Peter Y. A. Ryan:
Coercion-Resistant Voting in Linear Time via Fully Homomorphic Encryption: Towards a Quantum-Safe Scheme. - Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock:
High-Fidelity Vector Space Models of Structured Data. - Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz:
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera. - Xinzhe Fu, Eytan H. Modiano:
Network Interdiction Using Adversarial Traffic Flows. - Fabricio Aparecido Breve:
Interactive Image Segmentation using Label Propagation through Complex Networks. - Raghunandan M. Rao, Vuk Marojevic, Jeffrey H. Reed:
Analysis of Non-Pilot Interference on Link Adaptation and Latency in Cellular Networks. - Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. - Zhenqiang Li, Yifei Huang, Minjie Cai, Yoichi Sato:
Manipulation-skill Assessment from Videos with Spatial Attention Network. - Douglas Comer, Adib Rastegarnia:
Externalization of Packet Processing in Software Defined Networking. - Masahito Hayashi:
Secure list decoding. - Chuhui Xue, Shijian Lu, Wei Zhang:
MSR: Multi-Scale Shape Regression for Scene Text Detection. - Iman Jahandideh, Fatemeh Ghassemi, Marjan Sirjani:
Hybrid Rebeca: Modeling and Analyzing of Cyber-Physical Systems. - Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. - Asanka G. Perera, Yee Wei Law, Javaan S. Chahl:
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition. - Chentao Yue, Mahyar Shirvanimoghaddam, Yonghui Li, Branka Vucetic:
Segmentation-Discarding Ordered-Statistic Decoding for Linear Block Codes. - Qian Chen, Wen Wang:
Sequential Attention-based Network for Noetic End-to-End Response Selection. - Ali Rahmati, Xiaofan He, Ismail Güvenç, Huaiyu Dai:
Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks. - Zheng Tang, Jenq-Neng Hwang:
MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D. - Hunmin Park, Sung-Eui Yoon:
Collaborative 3D modeling system based on blockchain. - Yuanchun Li, Ziyue Yang, Yao Guo, Xiangqun Chen:
A Deep Learning based Approach to Automated Android App Testing. - Jianan Zhang, Hyang-Won Lee, Eytan H. Modiano:
On the Robustness of Distributed Computing Networks. - Lu Zhang, Zhiyong Liu, Xiangyu Chen, Xu Yang:
The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection. - Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What do Language Representations Really Represent? - Marcel von Maltitz, Dominik Bitzer, Georg Carle:
Data Querying and Access Control for Secure Multiparty Computation. - Vijini Mallawaarachchi, Lakmal Meegahapola, Roshan Alwis, Eranga Nimalarathna, Dulani Meedeniya, Sampath Jayarathna:
Change Detection and Notification of Webpages: A Survey. - Lu Jin, Jinhui Tang, Zechao Li, Guo-Jun Qi, Fu Xiao:
Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval. - Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. - Maria Bada, M. Angela Sasse, Jason R. C. Nurse:
Cyber Security Awareness Campaigns: Why do they fail to change behaviour? - Thrupthi Ann John
Low-Cost Transfer Learning of Face Tasks. - Chengyu Wu, Guangyue Han, Brian H. Marcus:
A Deterministic Algorithm for the Capacity of Finite-State Channels. - Manuel Stein:
Interim Report on Adaptive Event Dispatching in Serverless Computing Infrastructures. - Jeongeun Son, Yuncheng Du:
Model-based Stochastic Fault Detection and Diagnosis for Lithium-ion Batteries. - Xiaoxiao Sun, Shaomin Mu, Yongyu Xu, Zhihao Cao, Tingting Su:
Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network. - Sarah Azouvi, Haaroon Yousaf, Alexander Hicks:
Incentivising Privacy in Cryptocurrencies. - Georgios Fortetsanakis, Maria Papadopouli:
Multi-layer Game-Theoretical Analysis of Wireless Markets with Market Segmentation. - Agnese Chiatti, Dolzodmaa Davaasuren, Nilam Ram, Prasenjit Mitra, Byron Reeves, Thomas N. Robinson:
Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning. - Peng Xu, Zhaohong Deng, Jun Wang, Qun Zhang, Shitong Wang:
Transfer Representation Learning with TSK Fuzzy System. - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Cluster Lifecycle Analysis: Challenges, Techniques, and Framework. - Mikael Henaff, Alfredo Canziani, Yann LeCun:
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic. - Michael Saidani, Bernard Yannou, Yann Leroy, François Cluzel, Alissa Kendall:
A taxonomy of circular economy indicators. - Ei Pa Pa Pe-Than, Alexander Nolte:
The 2nd Workshop on Hacking and Making at Time-Bounded Events. - Merim Dzaferagic, Neal McBride, Ryan Thomas, Nicola Marchetti, Irene Macaluso:
Improving In-Network Computing in IoT Through Degeneracy. - Avishek Choudhury:
Hourly Forecasting of Emergency Department Arrivals : Time Series Analysis. - Yanling Chang, Eleftherios Iakovou, Weidong Shi:
Blockchain in Global Supply Chains and Cross Border Trade: A Critical Synthesis of the State-of-the-Art, Challenges and Opportunities. - Jian Guo Zhou:
Macroscopic Lattice Boltzmann Method (MacLAB). - Andrea Marziali, Emanuele Fabbiani
Short-term forecasting of Italian residential gas demand. - Rasmus Vestergaard, Qi Zhang, Daniel E. Lucani:
Generalized Deduplication: Bounds, Convergence, and Asymptotic Properties. - David Angeli, Sabato Manfredi:
On Adversary Robust Consensus protocols through joint-agent interactions. - Martin Byrenheid, Stefanie Roos, Thorsten Strufe:
On the Limits of Byzantine-tolerant Spanning Tree Construction in Route-Restricted Overlay Networks. - Kumar Shridhar, Felix Laumann, Marcus Liwicki:
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference. - Weonyoung Joo, Wonsung Lee, Sungrae Park, Il-Chul Moon:
Dirichlet Variational Autoencoder. - Ghafour Ahani, Di Yuan:
BS-assisted Task Offloading for D2D Networks with Presence of User Mobility. - Ghafour Ahani, Di Yuan:
On Optimal Proactive and Retention-Aware Caching with User Mobility. - Jiahao He, Guangju Wang, Guangyuan Zhang, Jiheng Zhang:
Consensus Mechanism Design based on Structured Directed Acyclic Graphs. - Lei Wang, Christopher M. Kellett:
Adaptive Semiglobal Nonlinear Output Regulation: An Extended-State Observer Approach. - Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe:
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning. - Ahmed Eleliemy, Florina M. Ciorba
Dynamic Loop Scheduling Using MPI Passive-Target Remote Memory Access. - Akanksha Baranwal, Ishan Bansal, Roopal Nahar, K. Madhava Krishna:
DeCoILFNet: Depth Concatenation and Inter-Layer Fusion based ConvNet Accelerator. - Eric R. Hein, Srinivas Eswar, Abdurrahman Yasar, Jiajia Li, Jeffrey S. Young, Thomas M. Conte, Ümit V. Çatalyürek, Rich Vuduc, E. Jason Riedy, Bora Uçar:
Programming Strategies for Irregular Algorithms on the Emu Chick. - Mikhail V. Batsyn, Ekaterina K. Batsyna, Ilya S. Bychkov:
On NP-completeness of the cell formation problem. - Erion Çano, Ondrej Bojar:
Sentiment Analysis of Czech Texts: An Algorithmic Survey. - Chelsea Weaver, Naoki Saito:
The Use of Mutual Coherence to Prove 𝓁1/𝓁0-Equivalence in Classification Problems. - Gaurav Kumar Agarwal, Martina Cardone, Christina Fragouli:
On Secure Network Coding for Multiple Unicast Traffic. - Stefano Pagani, Andrea Manzoni, Kevin Carlberg:
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method. - Alireza Shamsoshoara:
Overview of Blakley's Secret Sharing Scheme. - Yuwei Huang, Weidong Mei, Jie Xu, Ling Qiu, Rui Zhang:
Cognitive UAV Communication via Joint Maneuver and Power Control. - Suman Ghosh, Lakshmi Natarajan:
Codes for Updating Linear Functions over Small Fields. - Kevin Wu, Brent Lagesse:
Do You See What I See? Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation. - Vineeth Kashyap, Jason Ruchti, Lucja Kot, Emma Turetsky, Rebecca Swords, David Melski, Eric M. Schulte:
Automated Customized Bug-Benchmark Generation. - Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiao Xiang Zhu:
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification. - Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Björn W. Schuller, Kam Star, Elnar Hajiyev, Maja Pantic:
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. - Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai:
GIF2Video: Color Dequantization and Temporal Interpolation of GIF images. - Mahdi Cheraghchi, João Ribeiro:
Simple Codes and Sparse Recovery with Fast Decoding. - Claudia Faggian, Simona Ronchi Della Rocca:
Lambda Calculus and Probabilistic Computation. - Peyman Afshani, Rolf Fagerberg, David Hammer
Fragile Complexity of Comparison-Based Algorithms. - Mirco Moencks, Varuna De Silva, Jamie Roche
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset. - Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, Ruslan Salakhutdinov:
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context. - Oussama Arki, Abdelhafid Zitouni:
A Security Framework for Cloud Data Storage(CDS) Based on Agent. - Aaditya M. Nair, V. Lalitha:
Maximally Recoverable Codes with Hierarchical Locality. - Lucas Oliveira Batista, Gabriel Adriano de Silva, Vanessa Souza Araújo, Vinícius Jonathan Silva Araújo, Thiago Silva Rezende, Augusto Junio Guimarães, Paulo Vitor de Campos Souza:
Fuzzy neural networks to create an expert system for detecting attacks by SQL Injection. - Peng Zou, Omur Ozel
On the Benefits of Waiting in Status Update Systems. - Andreas Nüßing, Maria Carla Piastra, Sophie Schrader, Tuuli Miinalainen, Sampsa Pursiainen, Heinrich Brinck, Carsten H. Wolters, Christian Engwer:
duneuro - A software toolbox for forward modeling in neuroscience. - Yonglong Tian, Andrew Luo
Learning to Infer and Execute 3D Shape Programs. - W. Brent Daniel, Enoch Yeung:
A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings. - Anna Tietze, Philip Hofmann:
The h index and multi-author hm index for individual researchers in condensed matter physics. - Philipp V. Rouast, Marc T. P. Adam, Raymond Chiong:
Deep Learning for Human Affect Recognition: Insights and New Developments. - Antonio L. Alfeo, Mario G. C. A. Cimino, Nicoletta De Francesco, Alessandro Lazzeri, Massimiliano Lega, Gigliola Vaglini:
Swarm coordination of mini-UAVs for target search using imperfect sensors. - Misha Perepelitsa:
Learning by Fictitious Play in Large Populations. - Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle, Thibault Leclercq, Alexandre Cochet, Alain Lalande:
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks. - Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva:
Binary Message Passing Decoding of Product Codes Based on Generalized Minimum Distance Decoding. - Jobst Landgrebe, Barry Smith:
Making AI meaningful again. - Tao Sun, Zhewei Wang, Charles D. Smith, Jundong Liu:
Trace-back Along Capsules and Its Application on Semantic Segmentation. - Deepan Muthirayan, Enrique Baeyens, Pratyush Chakraborty, Kameshwar Poolla, Pramod P. Khargonekar:
A Minimal Incentive-based Demand Response Program With Self Reported Baseline Mechanism. - Mark D. Hill:
Three Other Models of Computer System Performance. - Mark Berman, Timur Friedman
Report of the Third Global Experimentation for Future Internet (GEFI 2018) Workshop. - Carlos Sarraute, Jorge Brea, Javier Burroni, Pablo Blanc:
Inference of Demographic Attributes based on Mobile Phone Usage Patterns and Social Network Topology. - Yahya H. Ezzeldin, Martina Cardone, Christina Fragouli, Giuseppe Caire:
Polynomial-time Capacity Calculation and Scheduling for Half-Duplex 1-2-1 Networks. - Nitish Kumar, Stelian Coros:
Optimization driven kinematic control of constrained collaborative mobile agents with high mobility. - Muhammad Amir Shafiq, Tariq Alshawi, Zhiling Long, Ghassan AlRegib:
SalSi: A new seismic attribute for salt dome detection. - Umberto Martínez-Peñas:
Private Information Retrieval from Locally Repairable Databases with Colluding Servers. - Asma Baghdadi, Yassine Aribi, Rahma Fourati, Najla Halouani, Patrick Siarry, Adel M. Alimi:
DASPS: A Database for Anxious States based on a Psychological Stimulation. - Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman:
A Bayesian Cognition Approach to Improve Data Visualization. - Cunxi Yu, Tiankai Su, Atif Yasin, Maciej J. Ciesielski:
Spectral Approach to Verifying Non-linear Arithmetic Circuits. - Alex Kale, Matthew Kay, Jessica Hullman:
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. - Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Leonidas J. Guibas:
Composite Shape Modeling via Latent Space Factorization. - He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas:
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. - Hrushikesh N. Mhaskar, Alex Cloninger, Xiuyuan Cheng:
A witness function based construction of discriminative models using Hermite polynomials. - Jianhai Chen, Deshi Ye, Shouling Ji, Qinming He, Yang Xiang, Zhenguang Liu:
A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers. - Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. - Yuan Lin, Azim Eskandarian:
Integrating Inter-vehicular Communication, Vehicle Localization, and a Digital Map for Cooperative Adaptive Cruise Control with Target Detection Loss. - Qingkai Lu, Tucker Hermans:
Modeling Grasp Type Improves Learning-Based Grasp Planning. - Rade Vuckovac:
Secure and Computationally-Efficient Cryptographic Primitive based on Cellular Automation. - Bo Chen, Le Sun, Xianpei Han, Bo An:
Sentence Rewriting for Semantic Parsing. - Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko, Bo-Yu Tsai, Yi-Lin Tsai, Sheng-Chi Yang, Lu-An Lin, Yi-Hsiu Lee, Hirofumi Ohashi, Naoyuki Kubota, Nan Shuo:
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction. - Jingzhao Wang, Tinghan Wang, Yuan Luo, Kenneth W. Shum:
Capacity of Distributed Storage Systems with Clusters and Separate Nodes. - Canjie Luo, Lianwen Jin, Zenghui Sun:
A Multi-Object Rectified Attention Network for Scene Text Recognition. - Daniel Liu
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. - Sean Anderson, Vineet J. Nair:
Electric Vehicle Charge Scheduling on Highway Networks from an Aggregate Cost Perspective. - Yahya Javed, Muhamad Felemban, Tawfeeq A. Shawly, Jason Kobes, Arif Ghafoor:
A Partition-Driven Integrated Security Architecture for Cyber-Physical Systems. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
Minimizing The Age of Information: NOMA or OMA? - Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld:
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. - Huibing Wang, Haohao Li, Xianping Fu:
Multi-feature Distance Metric Learning for Non-rigid 3D Shape Retrieval. - Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. - Dang Duy Thang
Image Transformation can make Neural Networks more robust against Adversarial Examples. - Tetsunao Matsuta, Tomohiko Uyematsu:
On the Distance Between the Rumor Source and Its Optimal Estimate in a Regular Tree. - Shen-Yi Zhao, Hao Gao, Wu-Jun Li:
Quantized Epoch-SGD for Communication-Efficient Distributed Learning. - Keigo Takeuchi:
A Unified Framework of State Evolution for Message-Passing Algorithms. - Vincent Divol, Théo Lacombe:
Understanding the Topology and the Geometry of the Persistence Diagram Space via Optimal Partial Transport. - Hussain Al-Aqrabi, Richard Hill:
Dynamic Multiparty Authentication of Data Analytics Services within Cloud Environments. - Hussain Al-Aqrabi, Richard Hill:
A Secure Connectivity Model for Internet of Things Analytics Service Delivery. - Phil Lane, Richard Hill:
Towards Optimised Data Transport and Analytics for Edge Computing. - Hussain Al-Aqrabi, Richard Hill:
A Scalable Model for Secure Multiparty Authentication. - Lei Ma, Hongliang Li, Qingbo Wu, Fanman Meng, King Ngi Ngan:
Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval. - Xinchen Liu, Wu Liu, Huadong Ma, Shuangqun Li:
PVSS: A Progressive Vehicle Search System for Video Surveillance Networks. - Rustam Latypov, Evgeni Stolov:
A new watermarking method to protect blockchain records comprising handwritten files. - Meng Zhang, Xinchen Liu, Wu Liu, Anfu Zhou, Huadong Ma, Tao Mei:
Multi-Granularity Reasoning for Social Relation Recognition from Images. - Rustam Latypov, Evgeni Stolov:
New Radon Transform Based Texture Features of Handwritten Document. - Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li:
GM-PLL: Graph Matching based Partial Label Learning. - Michal Horovitz, Eitan Yaakobi, Eyal En Gad, Jehoshua Bruck:
Iterative Programming of Noisy Memory Cells. - Manuel Stein:
Adaptive Event Dispatching in Serverless Computing Infrastructures. - Goutham Ramakrishnan, Deepak Anand, Amit Sethi:
Fast GPU-Enabled Color Normalization for Digital Pathology. - Mihai Cucuringu, Andrea Pizzoferrato, Yves van Gennip:
An MBO scheme for clustering and semi-supervised clustering of signed networks. - Deepak Mishra, Erik G. Larsson:
Optimal Channel Estimation for Reciprocity-Based Backscattering with a Full-Duplex MIMO Reader. - Arpan Gupta
Cricket stroke extraction: Towards creation of a large-scale cricket actions dataset. - Vishal Mohanty, Nicholas Akinyokun, Andrew Conway, Chris Culnane, Philip B. Stark, Vanessa Teague:
Auditing Indian Elections. - Joel Escudé Font, Marta R. Costa-jussà:
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques. - (Withdrawn) Finite Blocklength Analysis on Covert Communication over AWGN Channels.
- Patrick Schlachter, Bin Yang:
Active Learning for One-Class Classification Using Two One-Class Classifiers. - Ke Wang, Youlong Wu, Jiahui Chen, Haoyu Yin:
Reduce Transmission Delay for Cache-Aided Two-Layer Network. - Lea Helmers, Franziska Horn, Franziska Biegler, Tim Oppermann, Klaus-Robert Müller:
Automating the search for a patent's prior art with a full text similarity search. - Yi-Hsuan Tseng, Yu-Pin Hsu:
Online Energy-Efficient Scheduling for Timely Information Downloads in Mobile Networks. - Naveenkumar K. S, R. Vinayakumar, Soman K. P:
Emotion Detection using Data Driven Models. - Yaqian Zhang, Zhifang Zhang:
An Improved Cooperative Repair Scheme for Reed-Solomon Codes. - Thomas Pellegrini, Léo Cances:
Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection. - Matthias Grezet, Camilla Hollanti:
The Complete Hierarchical Locality of the Punctured Simplex Code. - Danny Hucke, Markus Lohrey, Louisa Seelbach Benkner:
Entropy Bounds for Grammar-Based Tree Compressors. - Arda Aytekin, Mikael Johansson:
Harnessing the Power of Serverless Runtimes for Large-Scale Optimization. - Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. - Sourav Mukherjee
Popular SQL Server Database Encryption Choices. - Zhihong Liu, Jiajia Liu, Yong Zeng, Zhuo Ma, Jianfeng Ma, Qiping Huang:
Challenges in Covert Wireless Communications with Active Warden on AWGN channels. - Nujoom Sageer Karat, Spandan Dey, Anoop Thomas, B. Sundar Rajan:
An Optimal Linear Error Correcting Delivery Scheme for Coded Caching with Shared Caches. - Andrés Abeliuk, Khaled M. Elbassioni, Talal Rahwan, Manuel Cebrián, Iyad Rahwan:
Price of Anarchy in Algorithmic Matching of Romantic Partners. - Yanlin Qian, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas:
On Finding Gray Pixels. - Paria Mehrani, John K. Tsotsos:
Early recurrence enables figure border ownership. - Dominic Deuber, Bernardo Magri, Sri Aravinda Krishnan Thyagarajan:
Redactable Blockchain in the Permissionless Setting. - Rodolphe Lepigre:
PML 2 : Integrated Program Verification in ML. - Sergio Herrería-Alonso, Miguel Rodríguez-Pérez, Manuel Fernández-Veiga, Cándido López-García:
Dynamic EEE Coalescing: Techniques and Bounds. - Gaurav Kumar Agarwal, Martina Cardone, Christina Fragouli:
On Secure Capacity of Multiple Unicast Traffic over Two-Layer Networks. - Aaron S. W. Wong, Ryan Jeffery, Peter Turner, Scott Sleap, Stephan K. Chalup:
RoboCup Junior in the Hunter Region: Driving the Future of Robotic STEM Education. - Emilio Calvanese Strinati, Sergio Barbarossa, José Luis González-Jiménez, Dimitri Kténas, Nicolas Cassiau, Cédric Dehos:
6G: The Next Frontier. - Florian Gensheimer, Tobias Dietz, Kira Kraft, Stefan Ruzika, Norbert Wehn:
A Reduced-Complexity Projection Algorithm for ADMM-based LP Decoding. - Robert West, Eric Horvitz:
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances". - Nai-Hui Chia, Tongyang Li
Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches. - Hyo-Sang Shin, Teng Li, Pau Segui-Gasco:
Sample Greedy Based Task Allocation for Multiple Robot Systems. - Navin Kashyap, Ron M. Roth, Paul H. Siegel:
The Capacity of Count-Constrained ICI-Free Systems. - Alex Dytso, Semih Yagli, H. Vincent Poor, Shlomo Shamai:
The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points. - Luiz F. Bittencourt, Alfredo Goldman, Edmundo R. M. Madeira, Nelson L. S. da Fonseca, Rizos Sakellariou:
Scheduling in distributed systems: A cloud computing perspective. - Kevin Sala, Xavier Teruel, Josep M. Pérez, Antonio J. Peña, Vicenç Beltran, Jesús Labarta:
Integrating Blocking and Non-Blocking MPI Primitives with Task-Based Programming Models. - Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar:
Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding. - Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin:
Region Proposal by Guided Anchoring. - Yehonatan Buchnik, Roy Friedman:
TOY: a Total ordering Optimistic sYstem for Permissioned Blockchains. - Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. - Alexandru Dominic Git, Balázs Matuz, Fabian Steiner:
Protograph-Based LDPC Code Design for Probabilistic Shaping with On-Off Keying. - Alaa F. Sheta, Nazeeh Ghatasheh, Hossam Faris, Ali Rodan:
Robotics Evolution: from Remote Brain to Cloud. - Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot:
Automatic detection of passable roads after floods in remote sensed and social media data. - Yulong Zou, Xiao Jiang, Jia Zhu, Yunlong Ma, Han Gao, Changping Zhu:
Joint Power Splitting and Relay Selection for Cooperative Energy-Harvesting Communications. - Luis Cruz, Rui Abreu:
Catalog of Energy Patterns for Mobile Applications. - Laurence A. Clarfeld, Paul D. H. Hines, Eric M. Hernandez, Margaret J. Eppstein:
Risk of Cascading Blackouts Given Correlated Component Outages. - Ali Ebrahimi, Changyan He, Niravkumar A. Patel, Marin Kobilarov, Peter Gehlbach, Iulian Iordachita:
Sclera Force Control in Robot-assisted Eye Surgery: Adaptive Force Control vs. Auditory Feedback. - Emmanuel Gunther, Miguel Pagano, Pedro Sánchez Terraf:
Mechanization of Separation in Generic Extensions. - Fedor Shmarov, Sadegh Soudjani, Nicola Paoletti, Ezio Bartocci, Shan Lin, Scott A. Smolka, Paolo Zuliani:
Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems. - Amirhossein Taghvaei, Prashant G. Mehta:
Accelerated Flow for Probability Distributions. - Vitaliy Kurlin, Philip Smith:
Skeletonisation Algorithms for Unorganised Point Clouds with Theoretical Guarantees. - Thanh Thi Nguyen, Ngoc Duy Nguyen, Fernando Bello, Saeid Nahavandi:
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting. - Herath Pathirannahalage Savindu, Iroshan Kondarage Achintha, Charith Dushantha Panangala, W. L. D. W. P. Perera, Anjula Chathuranga De Silva:
BrailleBand: Blind Support Haptic Wearable Band for Communication using Braille Language. - Cheng-Yang Fu, Mykhailo Shvets, Alexander C. Berg:
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free. - Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto:
Unsupervised Moving Object Detection via Contextual Information Separation. - Thomas Place, Marc Zeitoun:
Separation for dot-depth two. - Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Sadika Amreen, Audris Mockus, Chris Bogart, Yuxia Zhang, Russell Zaretzki:
ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data. - Max Bannach, Till Tantau:
On the Descriptive Complexity of Color Coding. - Alexi Block Gorman, Philipp Hieronymi, Elliot Kaplan, Ruoyu Meng, Erik Walsberg, Zihe Wang, Ziqin Xiong, Hongru Yang:
Continuous Regular Functions. - (Withdrawn) Optimal Asynchronous Dynamic Policies in Energy-Efficient Data Centers.
- David Amar, Lior Zilpa:
Incentive-based integration of useful work into blockchains. - Michael Dikshtein, Anelia Somekh-Baruch, Shlomo Shamai:
Broadcasting Information subject to State Masking over a MIMO State Dependent Gaussian Channel. - Brigitte Pientka, Andreas Abel, Francisco Ferreira, David Thibodeau, Rébecca Zucchini:
Cocon: Computation in Contextual Type Theory. - Saeid Sahraei, Amir Salman Avestimehr:
INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. - Yihao Hu, Ari Trachtenberg, Prakash Ishwar:
Collaborative Privacy for Web Applications. - Milena F. Pinto, André L. M. Marcato, Aurélio G. Melo, Leonardo de Mello Honório, Cristina Urdiales:
A Framework for Analyzing Fog-Cloud Computing Cooperation Applied to Information Processing of UAVs. - (Withdrawn) Star sampling with and without replacement.
- Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Detecting Overfitting of Deep Generative Networks via Latent Recovery. - Dolière Francis Somé:
EmPoWeb: Empowering Web Applications with Browser Extensions. - Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification. - Justin Meza:
Large Scale Studies of Memory, Storage, and Network Failures in a Modern Data Center. - Alon Kipnis, John C. Duchi:
Mean Estimation from One-Bit Measurements. - Mallesham Dasari, Christina Vlachou, Shruti Sanadhya, Pranjal Sahu, Yang Qiu, Kyu-Han Kim, Samir R. Das:
Handcrafted vs Deep Learning Classification for Scalable Video QoE Modeling. - Raghavendra Chalapathy, Sanjay Chawla:
Deep Learning for Anomaly Detection: A Survey. - Nikolay V. Shilov, Boris L. Faifel, Svetlana O. Shilova, Aleksey V. Promsky:
Towards platform-independent specification and verification of the standard trigonometry functions. - Yun Zeng:
Context Aware Machine Learning. - Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals:
Preventing Posterior Collapse with delta-VAEs. - Ece C. Mutlu, Toktam A. Oghaz
Review on Graph Feature Learning and Feature Extraction Techniques for Link Prediction. - Kurmanbek Kaiyrbekov, T. Metin Sezgin:
Stroke-based sketched symbol reconstruction and segmentation. - Jorge Pérez, Javier Marinkovic, Pablo Barceló:
On the Turing Completeness of Modern Neural Network Architectures. - Ciro Díaz:
Combined use of mixed and hybrid finite elements method with domain decomposition and spectral methods for a study of renormalization for the KPZ model. - Alex Warstadt, Samuel R. Bowman:
Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments. - Simanto Saha, Khondaker Abdullah Al Mamun, Khawza I. Ahmed, Raqibul Mostafa, Ganesh R. Naik, Ahsan Khandoker, Sam Darvishi, Mathias Baumert:
Progress in Brain Computer Interfaces: Challenges and Trends. - Tong He, Stefano Soatto:
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. - Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác:
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. - Chao Cai, Rong Zheng, Menglan Hu:
A survey on acoustic sensing. - Yan Zhao, Lu Liu, Chunhua Liu, Ruoyao Yang, Dong Yu:
From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation. - Zheng Shou, Zhicheng Yan, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Xudong Lin, Shih-Fu Chang:
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. - Koichiro Yoshino, Chiori Hori, Julien Perez, Luis Fernando D'Haro, Lazaros Polymenakos, R. Chulaka Gunasekara, Walter S. Lasecki, Jonathan K. Kummerfeld, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan, Xiang Gao, Huda AlAmri, Tim K. Marks, Devi Parikh, Dhruv Batra:
Dialog System Technology Challenge 7. - Yizhi Liu, Xiaoyan Gu, Lei Huang, Junlin Ouyang, Miao Liao, Liangran Wu:
Analyzing Periodicity and Saliency for Adult Video Detection. - Hai Duong Nguyen, Soo-Hyung Kim:
Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet. - Yuanxin Wu, Gongmin Yan:
Attitude Reconstruction from Inertial Measurements: QuatFIter and Its Comparison with RodFIter. - Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong:
Color Recognition for Rubik's Cube Robot. - Xinling Zhang, Xu Li, Ying Chen, Yixin Gan, Dexing Kong, Rongqin Zheng:
Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint. - Jiaxing Tan, Longlong Jing, Yumei Huo, Yingli Tian, Oguz Akin:
LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network. - Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu:
User Intent Prediction in Information-seeking Conversations. - Chen Qu, Liu Yang, W. Bruce Croft, Falk Scholer, Yongfeng Zhang:
Answer Interaction in Non-factoid Question Answering Systems. - Shuyang Sun, Jiangmiao Pang, Jianping Shi, Shuai Yi, Wanli Ouyang:
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction. - Razvan V. Marinescu, Marco Lorenzi
Disease Knowledge Transfer across Neurodegenerative Diseases. - Humayun Kayesh, Md. Saiful Islam
On Event Causality Detection in Tweets. - Becca Rose Glowacki, Rachel Freire, Lisa May Thomas, Michael B. O'Connor, Alexander Jamieson-Binnie
An open source Etextile VR glove for real-time manipulation of molecular simulations. - Savio Sciancalepore, Omar Adel Ibrahim, Gabriele Oligeri, Roberto Di Pietro:
Picking a Needle in a Haystack: Detecting Drones via Network Traffic Analysis. - Lisa May Thomas, Helen M. Deeks, Alex J. Jones
Somatic Practices for Understanding Real, Imagined, and Virtual Realities. - Xiaoxuan Lou, Fan Zhang, Zheng Leong Chua, Zhenkai Liang, Yueqiang Cheng, Yajin Zhou:
Understanding Rowhammer Attacks through the Lens of a Unified Reference Framework. - Gada Rezgui, Elena Veronica Belmega, Arsenia Chorti:
Mitigating Jamming Attacks Using Energy Harvesting. - Rishab Sharma, Anirudha Vishvakarma:
Retrieving Similar E-Commerce Images Using Deep Learning. - Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini, Skjalg Lepsøy, Riccardo Leonardi:
Feature Fusion for Robust Patch Matching With Compact Binary Descriptors. - Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. - Kancharagunta Kishan Babu, Shiv Ram Dubey:
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation. - Joshua A. Haustein, Isac Arnekvist, Johannes A. Stork, Kaiyu Hang, Danica Kragic:
Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning. - Arthur Guez, Mehdi Mirza, Karol Gregor, Rishabh Kabra, Sébastien Racanière, Théophane Weber, David Raposo, Adam Santoro, Laurent Orseau, Tom Eccles, Greg Wayne, David Silver, Timothy P. Lillicrap:
An investigation of model-free planning. - Jordi Paillisse, Jordi Subira, Albert Lopez-Bresco, Alberto Rodríguez-Natal, Vina Ermagan, Fabio Maino, Albert Cabellos:
Distributed Access Control with Blockchain. - Thomas Brihaye, Florent Delgrange, Youssouf Oualhadj, Mickael Randour:
Life is Random, Time is Not: Markov Decision Processes with Window Objectives. - Thodoris Sotiropoulos, Benjamin Livshits:
Static Analysis for Asynchronous JavaScript Programs. - Thierry Bouwmans, Belmar García García:
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions. - Eva-Maria C. Hols, Stefan Kratsch:
On Kernelization for Edge Dominating Set under Structural Parameters. - Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. - Ravikant Saini, Deepak Mishra, Swades De:
OFDMA-based DF Secure Cooperative Communication with Untrusted Users. - Stéphane Devismes, Colette Johnen:
Self-Stabilizing Distributed Cooperative Reset. - Marcos A. C. Oliveira, Ronaldo Menezes:
Spatial concentration and temporal regularities in crime. - Elad Domanovitz, Uri Erez:
On the Importance of Asymmetry and Monotonicity Constraints in Maximal Correlation Analysis. - Yisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval Elovici:
CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning. - Tanel Alumäe, Ottokar Tilk, Asad Ullah:
Advanced Rich Transcription System for Estonian Speech. - Sigmund Albert Gorski III, Benjamin Andow, Adwait Nadkarni, Sunil Manandhar, William Enck, Eric Bodden, Alexandre Bartel:
ACMiner: Extraction and Analysis of Authorization Checks in Android's Middleware. - Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon:
Coded Distributed Computing over Packet Erasure Channels. - Ravikant Saini, Abhishek Jindal, Swades De:
Jammer-Assisted Resource Allocation in Secure OFDMA With Untrusted Users. - Aaron Bernstein, Maximilian Probst
Decremental Strongly-Connected Components and Single-Source Reachability in Near-Linear Time. - Paul N. Beuchat, Joseph Warrington, John Lygeros:
Accelerated point-wise maximum approach to approximate dynamic programming. - Trinh Van Chien, Thuong Nguyen Canh
Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution. - Ahmad Beirami, Faramarz Fekri:
Universal Compression with Side Information from a Correlated Source. - Niels Grüttemeier, Christian Komusiewicz, Jannik Schestag, Frank Sommer:
Destroying Bicolored P3s by Deleting Few Edges. - Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki:
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. - Furkan Gursoy, Bertan Badur:
A Community-aware Network Growth Model for Synthetic Social Network Generation. - Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon:
Dependency Weighted Aggregation on Factorized Databases. - Gaëtan Hadjeres:
Variation Network: Learning High-level Attributes for Controlled Input Manipulation. - Ravikant Saini, Deepak Mishra, Swades De:
Subcarrier Pairing as Channel Gain Tailoring: Joint Resource Allocation for Relay-Assisted Secure OFDMA with Untrusted Users. - Tong Qin, Jie Pan, Shaozu Cao, Shaojie Shen:
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors. - Mehmet Cagri Ilter, Halim Yanikomeroglu:
Convolutionally Coded SNR-Adaptive Transmission for Low-Latency Communications. - Tong Qin, Shaozu Cao, Jie Pan, Shaojie Shen:
A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors. - J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. - Zhiyong Sun, Qingchen Liu, Na Huang, Changbin Yu, Brian D. O. Anderson:
Cooperative event-based rigid formation control. - Suayder Milhomem, Tiago da Silva Almeida, Warley Gramacho da Silva, Edeilson Milhomem da Silva, Rafael Lima de Carvalho:
Weightless Neural Network with Transfer Learning to Detect Distress in Asphalt. - Shane Colburn, Yi Chu, Eli Shlizerman, Arka Majumdar:
An Optical Frontend for a Convolutional Neural Network. - Soren Bouma, Matthew D. M. Pawley, Krista Hupman, Andrew Gilman:
Individual common dolphin identification via metric embedding learning. - Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Sarah Yan, Jakob Hoydis, Stephan ten Brink:
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. - Ethan Harris, Mahesan Niranjan, Jonathon S. Hare:
A Biologically Inspired Visual Working Memory for Deep Networks. - Václav Blazej, Pavel Dvorák, Tomás Valla:
On Induced Online Ramsey Number of Paths, Cycles, and Trees. - Qi Cai, Mingyi Hong, Yongxin Chen, Zhaoran Wang:
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator. - Ilias Giechaskiel, Youqian Zhang, Kasper Bonne Rasmussen:
A Framework for Evaluating Security in the Presence of Signal Injection Attacks. - Viktor Kazakov, Franz J. Király:
Machine Learning Automation Toolbox (MLaut). - Muhammad Shahwaiz Afaqui
Implementation of the 3GPP LTE-WLAN Interworking Protocols in NS-3. - Shahbaz Khan, Shashank K. Mehta:
Depth First Search in the Semi-streaming Model. - Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou:
Low-Power Neuromorphic Hardware for Signal Processing Applications. - Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting:
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. - (Withdrawn) Generating Adversarial Perturbation with Root Mean Square Gradient.
- Davis Gilton, Greg Ongie, Rebecca Willett:
Neumann Networks for Inverse Problems in Imaging. - Khashayar Khosravi, Greg Lewis, Vasilis Syrgkanis:
Non-Parametric Inference Adaptive to Intrinsic Dimension. - George Grispos, William Bradley Glisson, Tim Storer:
How Good is Your Data? Investigating the Quality of Data Generated During Security Incident Response Investigations. - George Grispos, William Bradley Glisson, Peter Cooper:
A Bleeding Digital Heart: Identifying Residual Data Generation from Smartphone Applications Interacting with Medical Devices. - Fiora Pirri, Lorenzo Mauro, Edoardo Alati, Valsamis Ntouskos, Mahdieh Izadpanahkakhk, Elham Omrani:
Anticipation and next action forecasting in video: an end-to-end model with memory. - Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. - Abhilasha Ravichander, Aakanksha Naik, Carolyn P. Rosé
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference. - Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli, Roberto Calandra, Sergey Levine, Kristofer S. J. Pister:
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement learning. - Soheil Behnezhad, MohammadTaghi Hajiaghayi, David G. Harris:
Exponentially Faster Massively Parallel Maximal Matching. - Shilei Fu, Feng Xu, Ya-Qiu Jin:
Translating SAR to Optical Images for Assisted Interpretation. - Esube Bekele, Wallace Lawson:
The Deeper, the Better: Analysis of Person Attributes Recognition. - Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu:
Residual Pyramid FCN for Robust Follicle Segmentation. - Xin Li, Yifan Dang, Tefang Chen:
Vehicular Edge Cloud Computing: Depressurize the Intelligent Vehicles Onboard Computational Power. - Subarna Tripathi, Anahita Bhiwandiwalla, Alexei Bastidas, Hanlin Tang:
Using Scene Graph Context to Improve Image Generation. - Taejoon Byun, Vaibhav Sharma, Abhishek Vijayakumar, Sanjai Rayadurgam, Darren D. Cofer:
Input Prioritization for Testing Neural Networks. - Silas L. Fong, Ashish Khisti, Baochun Li, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Optimal Multiplexed Erasure Codes for Streaming Messages with Different Decoding Delays. - Mahesh Ravishankar, Vinod Grover:
Automatic acceleration of Numpy applications on GPUs and multicore CPUs. - Masoomeh Javidi Kishi, Sebastiano Peluso, Hank Korth, Roberto Palmieri:
SSS: Scalable Key-Value Store with External Consistent and Abort-free Read-only Transactions. - Mahraz Amini, Adil Khurram, Andrew Klem, Mads Almassalkhi, Paul D. H. Hines:
A Model-Predictive Control Method for Coordinating Virtual Power Plants and Packetized Resources, with Hardware-in-the-Loop Validation. - Risto Miikkulainen:
Creative AI Through Evolutionary Computation. - Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian, Jiahui Huang, Hao Su, Leonidas J. Guibas:
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces. - Marek Chrobak, Mordecai J. Golin, J. Ian Munro, Neal E. Young:
On Huang and Wong's Algorithm for Generalized Binary Split Trees. - Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun:
UPSNet: A Unified Panoptic Segmentation Network. - Bas Peters, Justin Granek, Eldad Haber:
Automatic classification of geologic units in seismic images using partially interpreted examples. - Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu:
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. - Yihan Zhang, Shashank Vatedka:
List Decoding Random Euclidean Codes and Infinite Constellations. - Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students. - Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid:
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. - Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-supervised Learning. - Ying-Peng Tang
ALiPy: Active Learning in Python. - Muhammad Samir Khan, Nitin H. Vaidya:
Byzantine Consensus under Local Broadcast Model: Tight Sufficient Condition. - Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang:
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System. - (Withdrawn) On the PIR capacity of MSR codes.
- Xi Chen, Donglian Qi, Jianxin Shen:
Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation. - Furkan Gursoy, Ahmet Onur Durahim:
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks. - Kumar Abhishek, Ashok Yogi:
Summarization and Visualization of Large Volumes of Broadcast Video Data. - Mikhail G. Mozerov, Joost van de Weijer:
One-view occlusion detection for stereo matching with a fully connected CRF model. - Kei Sakamoto, Kei-ichi Morita, Tohru Ikeda, Kou Kayamori:
Deep-learning-based identification of odontogenic keratocysts in hematoxylin- and eosin-stained jaw cyst specimens. - Jingyun Liu, Jackie Chi Kit Cheung, Annie Louis:
What comes next? Extractive summarization by next-sentence prediction. - Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava:
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data. - Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen:
HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation. - Andrea Arcuri:
An Experience Report On Applying Software Testing Academic Results In Industry: We Need Usable Automated Test Generation. - Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. - Harshvardhan Tibrewal, Sravan Patchala, Manjesh Kumar Hanawal, Sumit Jagdish Darak:
Distributed Learning and Optimal Assignment in Multiplayer Heterogeneous Networks. - Kevin Haninger, Masayoshi Tomizuka:
Nonparametric Inverse Dynamic Models for Multimodal Interactive Robots. - Alberto Molinari:
Model checking: the interval way. - Emanuele Pesce, Giovanni Montana:
Improving Coordination in Multi-Agent Deep Reinforcement Learning through Memory-driven Communication. - Erion Çano, Maurizio Morisio:
Hybrid Recommender Systems: A Systematic Literature Review. - Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, Kalyan Veeramachaneni:
SteganoGAN: High Capacity Image Steganography with GANs. - Brian Gaudet, Richard Linares, Roberto Furfaro:
Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories. - Samuel Li, Talayeh Razzaghi:
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods. - Tomasz Gogacz, Jerzy Marcinkowski, Andreas Pieris:
All-Instances Restricted Chase Termination: The Guarded Case. - Leandros A. Maglaras, Mohamed Amine Ferrag, Abdelouahid Derhab, Mithun Mukherjee, Helge Janicke, Stylianos Rallis:
Threats, Protection and Attribution of Cyber Attacks on Critical Infrastructures. - Aaron Vose, Jacob Balma
Recombination of Artificial Neural Networks. - Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi
A Speech Act Classifier for Persian Texts and its Application in Identify Speech Act of Rumors. - Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Nießner, Charles T. Loop, Marc Stamminger, Jan Kautz:
NRMVS: Non-Rigid Multi-View Stereo. - Ganesh Sistu, Isabelle Leang, Senthil Kumar Yogamani:
Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving. - Dömötör Pálvölgyi:
The range of non-linear natural polynomials cannot be context-free. - Sebastian Penhouët, Paul Sanzenbacher:
Automated Deep Photo Style Transfer. - Donald G. Dansereau, Bernd Girod, Gordon Wetzstein:
LiFF: Light Field Features in Scale and Depth. - Joshua J. Engelsma, Anil K. Jain:
Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifier. - Zhihao Cao, Shaomin Mu, Yongyu Xu, Mengping Dong:
Image retrieval method based on CNN and dimension reduction. - Bowen Yan, Jianxi Luo:
The Superior Knowledge Proximity Measure for Patent Mapping. - Tugba Erpek, Sennur Ulukus, Yalin E. Sagduyu:
Interference Regime Enforcing Rate Maximization for Non-Orthogonal Multiple Access (NOMA). - Gamal Sallam, Bo Ji:
Joint Placement and Allocation of Virtual Network Functions with Budget and Capacity Constraints. - Yao Yao, Peichao Zhang, Sijie Chen:
Aggregating Large-Scale Generalized Energy Storages to Participate in Energy Market and Regulation Market. - Yu Xiao:
Acrobot Swing Up with MATLAB. - Yunxuan Xiao, Yikai Li, Yuwei Wu, Lizhen Zhu:
Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing. - Andrew Adamatzky, Claire Fullarton, Neil Phillips, Ben de Lacy Costello, Thomas C. Draper:
Thermal switch of oscillation frequency in Belousov-Zhabotinsky liquid marbles. - Sahar Yousefi, Mohammad T. Manzuri Shalmani, Antoni B. Chan:
A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation. - Samuel Lavoie, Anthony Garant, Fábio Petrillo:
Serverless architecture efficiency: an exploratory study. - Andrin Jenal, Nikolay Savinov, Torsten Sattler, Gaurav Chaurasia:
RNN-based Generative Model for Fine-Grained Sketching. - Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant:
Neural network gradient-based learning of black-box function interfaces. - Keren Censor-Hillel, Neta Dafni, Victor I. Kolobov, Ami Paz, Gregory Schwartzman:
Fast and Simple Deterministic Algorithms for Highly-Dynamic Networks. - Basel Magableh:
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture. - Basel Magableh:
Context Oriented Software Middleware. - Anna P. Kuznetsova, Yuri M. Monakhov, Oleg Nikitin, Alexey Kharlamov, Alexandr Amochkin:
A Machine-Synesthetic Approach To DDoS Network Attack Detection. - Basel Magableh
A Framework for Evaluating Model-Driven Self-adaptive Software Systems. - Pengfei Sun, David A. Moses, Edward F. Chang:
Modeling neural dynamics during speech production using a state space variational autoencoder. - Kasun Bandara
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. - Ali Yekkehkhany, Rakesh Nagi:
Blind GB-PANDAS: A Blind Throughput-Optimal Load Balancing Algorithm for Affinity Scheduling. - Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient Boosted Feature Selection. - Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk
The Liver Tumor Segmentation Benchmark (LiTS). - Zhaoyang Xu, Carlos Fernández Moro, Béla Bozóky, Qianni Zhang:
GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis. - Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng:
Gradient Regularized Budgeted Boosting. - Evangelos Kipouridis
Longest Common Subsequence on Weighted Sequences. - Adrian Wilke, Johannes Magenheim:
Critical Incidents for Technology Enhanced Learning in Vocational Education and Training - Observations from the field of mechanical engineering. - Mohamed Shehata
Vehicles Detection Based on Background Modeling. - Vishnu V. Ratnam, Andreas F. Molisch:
Periodic Analog Channel Estimation Aided Beamforming for Massive MIMO Systems. - Akbar Iskandar, Elisabet Virma, Ansari Saleh Ahmar:
Implementing DMZ in Improving Network Security of Web Testing in STMIK AKBA. - Rodrigo Frassetto Nogueira, Kyunghyun Cho:
Passage Re-ranking with BERT. - Milad Mahdian, Armin Moharrer, Stratis Ioannidis, Edmund Yeh:
Kelly Cache Networks. - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Attributed Network Embedding via Subspace Discovery. - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Search Efficient Binary Network Embedding. - Steven Roberts, Andrey A. Popov, Adrian Sandu:
ODE Test Problems: a MATLAB suite of initial value problems. - Yifan Tian, Jiawei Yuan, Shucheng Yu, Yantian Hou:
LEP-CNN: A Lightweight Edge Device Assisted Privacy-preserving CNN Inference Solution for IoT. - Changsheng You, Rui Zhang:
3D Trajectory Optimization in Rician Fading for UAV-Enabled Data Harvesting. - Colleen E. Crangle, Rui Wang, Marcos Perreau Guimaraes, Michelle U. Nguyen, Duc T. Nguyen, Patrick Suppes:
Machine learning for the recognition of emotion in the speech of couples in psychotherapy using the Stanford Suppes Brain Lab Psychotherapy Dataset. - Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou:
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views. - Shuo Ren, Zhirui Zhang, Shujie Liu, Ming Zhou, Shuai Ma:
Unsupervised Neural Machine Translation with SMT as Posterior Regularization. - Xuehui Sun, Zihan Zhou, Yuda Fan:
Image Based Review Text Generation with Emotional Guidance. - Vincent Knapps, Karl-Heinz Zimmermann:
Distributed Monitoring of Topological Events via Homology. - Yinghui Ye, Guangyue Lu, Rose Qingyang Hu, Liqin Shi:
On the Performance and Optimization for MEC Networks Using Uplink NOMA. - Soheil Behnezhad, Avrim Blum, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Christos H. Papadimitriou, Saeed Seddighin:
Optimal Strategies of Blotto Games: Beyond Convexity. - Chengzhou Tang, Oliver Wang, Feng Liu, Ping Tan:
Joint Stabilization and Direction of 360°Videos. - Shunchuan Yang, Donglin Su:
Fast Green Function Evaluation for Method of Moment. - Rajat Talak, Eytan H. Modiano:
Age-Delay Tradeoffs in Single Server Systems. - Liat Peterfreund, Dominik D. Freydenberger, Benny Kimelfeld, Markus Kröll:
Complexity Bounds for Relational Algebra over Document Spanners. - Marcos Báez, Radoslaw Nielek, Fabio Casati, Adam Wierzbicki:
Technologies for promoting social participation in later life. - Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Integrating Learning and Reasoning with Deep Logic Models. - Ana-Maria Olteteanu, Zoe Falomir:
Proceedings of the 2nd Symposium on Problem-solving, Creativity and Spatial Reasoning in Cognitive Systems, ProSocrates 2017. - Yanchi Su, Zhanshan Li:
Multi-band Weighted lp Norm Minimization for Color and Multispectral Image Denoising. - Soumyadip Maity, Arindam Saha, Brojeshwar Bhowmick:
Edge SLAM: Edge Points Based Monocular Visual SLAM. - Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama:
How does Disagreement Help Generalization against Label Corruption? - Klesti Hoxha, Artur Baxhaku:
Albanian Language Identification in Text Documents. - Ahmed Zerouali, Tom Mens, Gregorio Robles, Jesús M. González-Barahona:
On the Diversity of Software Package Popularity Metrics: An Empirical Study of npm. - Albert Galiev, Shamil Ishmukhametov, Rustam Latypov, Nikolai Prokopyev, Evgeni Stolov, Ilya Vlasov:
ARCHAIN: A Novel Blockchain Based Archival System. - Manuel Bodirsky, Antoine Mottet, Miroslav Olsák, Jakub Oprsal, Michael Pinsker, Ross Willard:
Topology is relevant (in the infinite-domain dichotomy conjecture for constraint satisfaction problems). - Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. - Ted Hurley:
Linear complementary dual, maximum distance separable codes. - Calum C. Hall, Lynsay A. Shepherd, Natalie Coull:
BlackWatch: Increasing Attack Awareness Within Web Applications. - Nicola Capece, Francesco Banterle, Paolo Cignoni, Fabio Ganovelli, Roberto Scopigno, Ugo Erra:
DeepFlash: Turning a Flash Selfie into a Studio Portrait. - Alvaro Gonzalez-Castellanos, David Pozo, Aldo Bischi:
A Non-ideal Linear Operation Model for a Li-ion Battery. - Zhenguo Yang, Zehang Lin, Peipei Kang, Jianming Lv, Qing Li, Wenyin Liu:
Learning Shared Semantic Space with Correlation Alignment for Cross-modal Event Retrieval. - Tobias Joppen, Johannes Fürnkranz:
Ordinal Monte Carlo Tree Search. - Noé Tits, Kevin El Haddad, Thierry Dutoit:
Exploring Transfer Learning for Low Resource Emotional TTS. - Naina Said, Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Laiq Hasan, Nasir Ahmad, Nicola Conci:
Natural Disasters Detection in Social Media and Satellite imagery: a survey. - Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm. - Anastasios K. Papazafeiropoulos
SDN-enabled MIMO Heterogeneous Cooperative Networks with Flexible Cell Association. - Mohammed Harun Babu R, R. Vinayakumar, Soman K. P:
RNNSecureNet: Recurrent neural networks for Cyber security use-cases. - Paolo Ballarini, Benoît Barbot
Performance modelling of access control mechanisms for local and vehicular wireless networks. - Shuowen Zhang, Rui Zhang:
Trajectory Optimization for Cellular-Connected UAV Under Outage Duration Constraint. - Fredrik Johansson:
Faster arbitrary-precision dot product and matrix multiplication. - Qi Qi, Zhanyu Ma:
Vehicular Edge Computing via Deep Reinforcement Learning. - Xavier Timoneda, Sergi Abadal, Antonio Franques, Dionysios Manessis, Jin Zhou, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio:
Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication. - Amin Azari, Mustafa Özger, Cicek Cavdar:
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning. - Damao Yang, Sihan Peng, He Huang, Hongliang Xue:
On-Demand Video Dispatch Networks: A Scalable End-to-End Learning Approach. - Diederik Aerts, Lester Beltran, Suzette Geriente, Sandro Sozzo:
Quantum-theoretic Modeling in Computer Science A complex Hilbert space model for entangled concepts in corpuses of documents. - Govardan C, Sri Krishna Chaitanya K, Krishna Kumar Naik B, Shreesha Rao D. S
A Heuristic Algorithm for Network Optimization of OTN over DWDM Network. - Kennedy A. Torkura, Christoph Meinel, Nane Kratzke:
Don't Wait to be Breached! Creating Asymmetric Uncertainty of Cloud Applications via Moving Target Defenses. - Thom Lake, Sinead A. Williamson, Alexander T. Hawk, Christopher C. Johnson, Benjamin P. Wing:
Large-scale Collaborative Filtering with Product Embeddings. - Isolde Adler, Philipp Klaus Krause
A lower bound on the tree-width of graphs with irrelevant vertices. - Raphaël Berthon, Emmanuel Filiot, Shibashis Guha, Bastien Maubert, Aniello Murano, Laureline Pinault, Jean-François Raskin, Sasha Rubin:
Monadic Second-Order Logic with Path-Measure Quantifier is Undecidable. - Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton:
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop. - Rémi Géraud, Marius Lombard-Platet, David Naccache:
Quotient Hash Tables - Efficiently Detecting Duplicates in Streaming Data. - Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu:
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. - Ziyuan Pan, Hao Du, Kee Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng:
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care. - Daniel McDuff, Ethan B. Blackford:
iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox. - Albert Kwon, David Lu, Srinivas Devadas:
XRD: Scalable Messaging System with Cryptographic Privacy. - Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Enrique Mallada, Wing Shing Wong, Adam Wierman:
Online Inventory Management with Application to Energy Procurement in Data Centers. - Bahareh Sarrafzadeh, Ahmed Hassan Awadallah, Christopher H. Lin, Chia-Jung Lee, Milad Shokouhi, Susan T. Dumais:
Characterizing and Predicting Email Deferral Behavior. - C. Ramya, B. V. Raghavendra Rao:
Lower bounds for multilinear bounded order ABPs. - Jan Chorowski, Adrian Lancucki, Bartosz Kostka, Michal Zapotoczny:
Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees. - Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches? - Claudine Badue, Ranik Guidolini, Raphael Vivacqua Carneiro, Pedro Azevedo, Vinicius Brito Cardoso, Avelino Forechi, Luan Ferreira Reis Jesus, Rodrigo Ferreira Berriel, Thiago Meireles Paixão, Filipe Wall Mutz, Thiago Oliveira-Santos, Alberto Ferreira de Souza:
Self-Driving Cars: A Survey. - Marcin Nawrocki, Thomas C. Schmidt, Matthias Wählisch:
Uncovering Vulnerable Industrial Control Systems from the Internet Core. - Abhineet Singh, Hayden Kalke, Nilanjan Ray, Mark Loewen:
River Ice Segmentation with Deep Learning. - Zitan Chen, Alexander Barg:
Explicit constructions of MSR codes for clustered distributed storage: The rack-aware storage model. - Magdalini Paschali
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. - Mikhail Kamenev, Yulia Kameneva, Oleg Kurmaev, Alexey Maevskiy:
A New Permutation Decoding Method for Reed-Muller Codes. - Emanuele Petagna, Giuseppe Laurenza, Claudio Ciccotelli, Leonardo Querzoni:
Peel the onion: Recognition of Android apps behind the Tor Network. - Christos Chrysafis, Ben Collins, Scott Dugas, Jay Dunkelberger, Moussa Ehsan, Scott Gray, Alec Grieser, Ori Herrnstadt, Kfir Lev-Ari, Tao Lin, Mike McMahon, Nicholas Schiefer, Alexander Shraer:
FoundationDB Record Layer: A Multi-Tenant Structured Datastore. - Ayed M. Alrashdi
Precise Performance Analysis of the Box-Elastic Net under Matrix Uncertainties. - Andrea Arcuri:
EvoMaster: Evolutionary Multi-context Automated System Test Generation. - Brian Gaudet, Richard Linares:
Adaptive Guidance with Reinforcement Meta-Learning. - Yanxiang Jiang, Wenlong Huang, Mehdi Bennis, Fu-Chun Zheng:
Decentralized Asynchronous Coded Caching Design and Performance Analysis in Fog Radio Access Networks. - Mickaël Abbas, Alexandre Ern, Nicolas Pignet:
A Hybrid High-Order method for finite elastoplastic deformations within a logarithmic strain framework. - Markus Fröhle, Karl Granström, Henk Wymeersch:
Decentralized Poisson Multi-Bernoulli Filtering for Extended Target Tracking. - Omry Sendik, Dani Lischinski
XNet: GAN Latent Space Constraints. - Nandi O. Leslie, Richard E. Harang, Lawrence P. Knachel, Alexander Kott:
Statistical Models for the Number of Successful Cyber Intrusions. - Yi Zhen, Hang Chen, Xu Zhang, Meng Liu, Xin Meng, Jian Zhang, Jiantao Pu:
Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning. - E. I. Velazquez Richards, E. Gallagher, Pablo Suárez-Serrato:
BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala. - Matan Shoef, Sharon Fogel, Daniel Cohen-Or:
PointWise: An Unsupervised Point-wise Feature Learning Network. - Mohammad Hekmatnejad, Georgios Fainekos:
Model Checking Clinical Decision Support Systems Using SMT. - Kyong Hwan Jin, Michael Unser, Kwang Moo Yi:
Self-Supervised Deep Active Accelerated MRI. - Zain Nasrullah, Yue Zhao:
Music Artist Classification with Convolutional Recurrent Neural Networks. - Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi:
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. - Samarth Gupta, Ravi Seshadri, Bilge Atasoy, A. Arun Prakash, Francisco C. Pereira, Gary Tan, Moshe E. Ben-Akiva:
Real-Time Predictive Control Strategy Optimization. - Julian Dörfler, Christian Ikenmeyer, Greta Panova:
On geometric complexity theory: Multiplicity obstructions are stronger than occurrence obstructions. - R. W. Timmerman, Marko A. A. Boon:
Platoon Forming Algorithms for Intelligent Street Intersections. - Merim Dzaferagic, M. Majid Butt, Maria Murphy, Nicholas J. Kaminski, Nicola Marchetti:
Agent-Based Modelling Approach for Distributed Decision Support in an IoT Network. - Brenden M. Lake, Tal Linzen, Marco Baroni:
Human few-shot learning of compositional instructions. - Sahba Aghajani Pedram, Peter Ferguson, Ji Ma, Erik P. Dutson, Jacob Rosen:
Optimal Needle Diameter, Shape, and Path in Autonomous Suturing. - Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo:
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data. - Hao Tang, Dan Xu, Wei Wang, Yan Yan, Nicu Sebe:
Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. - Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information Based Bounds on Generalization Error. - Ameer Haj Ali, Qijing Huang, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning. - Timo Kohlberger, Yun Liu
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection. - Jianyu Niu, Chen Feng:
Selfish Mining in Ethereum. - Hao Tang, Hong Liu, Wei Xiao, Nicu Sebe:
Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion. - Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Multi-modal Ensemble Classification for Generalized Zero Shot Learning. - Liudmyla Nechepurenko, Viktor Voss, Vyacheslav Gritsenko:
Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game. - Yicheng Xu, Yong Zhang, Yifei Zou:
A constant parameterized approximation for hard-capacitated k-means. - Tadashi Wadayama, Satoshi Takabe:
Deep Learning-Aided Trainable Projected Gradient Decoding for LDPC Codes. - Antao Zhou, Gang Cao, Xianglin Huang, Gege Song, Lifang Yang:
Resampling detection of recompressed images via dual-stream convolutional neural network. - Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong:
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. - Prithvi Akella, Sean Anderson, David Lovell:
Set-Based Adaptive Safety Control. - Jie Gong, Qiaobin Kuang, Xiang Chen, Xiao Ma:
Reducing Age-of-Information for Computation-Intensive Messages via Packet Replacement. - Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao, Xiaoyi Feng, Guoying Zhao:
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions. - Shunsuke Horii, Takahiro Yoshida, Manabu Kobayashi, Toshiyasu Matsushima:
Distributed Stochastic Gradient Descent Using LDGM Codes. - Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-Wei H. Lehman, Andrew Slavin Ross, Aldo Faisal, Finale Doshi-Velez:
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning. - Rahul Anand, Hye-Young Paik, Cheng Wang:
Integrating and querying similar tables from PDF documents using deep learning. - Qun Zhang, Gururaghav Raman, Jimmy Chih-Hsien Peng:
EV Charging Optimization based on Day-ahead Pricing Incorporating Consumer Behavior. - Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama:
Online Algorithm for Unsupervised Sensor Selection. - Somnuk Phon-Amnuaisuk:
Image Synthesis and Style Transfer. - Simyung Chang, Sang-Ho Lee, Nojun Kwak:
URNet : User-Resizable Residual Networks with Conditional Gating Module. - Guanyu Gao, Jie Li, Yonggang Wen:
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning. - Saber Malekzadeh, Maryam Samami, Shahla Rezazadeh Azar, Maryam Rayegan:
Classical Music Generation in Distinct Dastgahs with AlimNet ACGAN. - Saber Malekzadeh:
Phoneme-Based Persian Speech Recognition. - Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. - Krzysztof R. Apt, Ehsan Shoja:
Self-Stabilization Through the Lens of Game Theory. - Chien-Sheng Wu, Richard Socher, Caiming Xiong:
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. - Yifei Ma, Yu-Xiang Wang, Balakrishnan Narayanaswamy:
Imitation-Regularized Offline Learning. - Songül Tolan:
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges. - Loïc Crombez, Guilherme Dias da Fonseca, Yan Gérard:
Efficient Algorithms to Test Digital Convexity. - Ziyuan Gao, Sanjay Jain, Bakhadyr Khoussainov, Wei Li, Alexander G. Melnikov, Karen Seidel, Frank Stephan:
Random Subgroups of Rationals. - Mark D. Humphries, Javier A. Caballero, Mat Evans, Silvia Maggi, Abhinav Singh:
Spectral rejection for testing hypotheses of structure in networks. - Montaser Mohammedalamen, Waleed D. Khamies, Benjamin Rosman:
Transfer Learning for Prosthetics Using Imitation Learning. - Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. - Rob Egrot:
Order polarities. - Xiangyang Zhi, Xuming He, Sören Schwertfeger:
Learning Autonomous Exploration and Mapping with Semantic Vision. - Hanling Yi, Qiulin Lin, Minghua Chen:
Balancing Cost and Dissatisfaction in Online EV Charging under Real-time Pricing. - Dilek Küçük, Fazli Can:
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection. - David Castells-Rufas, Cédric Bastoul:
Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2019. - Ayush Kumar, Teng Joon Lim:
Early Detection Of Mirai-Like IoT Bots In Large-Scale Networks Through Sub-Sampled Packet Traffic Analysis. - Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc, Jason Grendus, Tuure Tuunanen, Pekka Abrahamsson:
100+ Metrics for Software Startups - A Multi-Vocal Literature Review. - Niladri Das, Brijesh Kumar Rai:
Linear Network Coding: Effects of Varying the Message Dimension on the Set of Characteristics. - Mozhdeh Farhadi, Daniele Miorandi, Guillaume Pierre:
Blockchain enabled fog structure to provide data security in IoT applications. - Loreto Parisi, Simone Francia, Silvio Olivastri, Maria Stella Tavella:
Exploiting Synchronized Lyrics And Vocal Features For Music Emotion Detection. - Zeliang Liu, C. T. Wu:
Exploring the 3D architectures of deep material network in data-driven multiscale mechanics. - George Hassan-Coring:
Inferring Causality in Agent-Based Simulations - Literature Review. - Felix M. Riese, Sina Keller:
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data. - Nikolaos Lykousas, Constantinos Patsakis, Andreas Kaltenbrunner, Vicenç Gómez:
Sharing emotions at scale: The Vent dataset. - Sharad Rawat, M.-H. Herman Shen:
A Novel Topology Optimization Approach using Conditional Deep Learning. - Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Henrik Gadd, Sven Werner:
A Data-Driven Approach for Discovery of Heat Load Patterns in District Heating. - James Townsend, Tom Bird, David Barber:
Practical Lossless Compression with Latent Variables using Bits Back Coding. - Pongsate Tangseng, Takayuki Okatani:
Toward Explainable Fashion Recommendation. - Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot:
Feature Boosting Network For 3D Pose Estimation. - Christopher Champion, Ilesanmi Olade
The Smart2 Speaker Blocker: An Open-Source Privacy Filter for Connected Home Speakers. - Talha Ahmad Siddiqui, Samarth Bharadwaj, Shivkumar Kalyanaraman:
A deep learning approach to solar-irradiance forecasting in sky-videos. - Wenjie Huang, Pham Viet Hai, William Benjamin Haskell:
Model and Algorithm for Time-Consistent Risk-Aware Markov Games. - Yuanyuan Zhang, Zi-Rui Wang, Jun Du:
Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition. - Fengjiao Li, Jia Liu, Bo Ji:
Combinatorial Sleeping Bandits with Fairness Constraints. - Daniel Hausmann, Lutz Schröder:
Optimal Satisfiability Checking for Arithmetic μ-Calculi. - Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman:
Conversational Intent Understanding for Passengers in Autonomous Vehicles. - John K. Tsotsos, Iuliia Kotseruba, Calden Wloka:
Early Salient Region Selection Does Not Drive Rapid Visual Categorization. - Chris Russell:
Efficient Search for Diverse Coherent Explanations. - Yuri Gurevich:
Unconstrained Church-Turing thesis cannot possibly be true. - Víctor Elvira, Ignacio Santamaría:
Multiple Importance Sampling for Efficient Symbol Error Rate Estimation. - Spyros Boukoros, Mathias Humbert, Stefan Katzenbeisser, Carmela Troncoso:
Why Johnny Can't Develop Mobile Crowdsourcing Applications with Location Privacy. - Niranjana Ambadi:
Unicast-Uniprior Index Coding Problems: Minrank and Criticality. - David Puljiz
Sensorless Hand Guidance using Microsoft Hololens. - George Bissias:
An Algorithm for Bounding the Probability of r-core Formation in k-uniform Random Hypergraphs. - Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen:
Incremental Reading for Question Answering. - Davide Pizzolotto, Mariano Ceccato:
Obfuscating Java Programs by Translating Selected Portions of Bytecode to Native Libraries. - Hassan Bouchiba, Simon Santoso, Jean-Emmanuel Deschaud, Luisa Rocha-Da-Silva, François Goulette, Thierry Coupez:
Computational Fluid Dynamics on 3D Point Set Surfaces. - Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek:
Kubernetes as an Availability Manager for Microservice Applications. - Yee Siang Gan, Sze-Teng Liong, Yen-Chang Huang:
Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning. - Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation. - Pavlos Fafalios, Yannis Tzitzikas:
How Many and What Types of SPARQL Queries can be Answered through Zero-Knowledge Link Traversal? - Ehsan Mohammadpour, Eleni Stai, Jean-Yves Le Boudec:
Improved Credit Bounds for the Credit-Based Shaper in Time-Sensitive Networking. - Yilin Li, Jian Luo, Richard A. Stirling-Gallacher, Giuseppe Caire:
Integrated Access and Backhaul Optimization for Millimeter Wave Heterogeneous Networks. - Yilin Li, Jian Luo, Richard A. Stirling-Gallacher, Zhongfeng Li, Giuseppe Caire:
Multihop Routing for Data Delivery in V2X Networks. - Heinrich Jiang, Ofir Nachum:
Identifying and Correcting Label Bias in Machine Learning. - Yasutada Oohama:
A New Inequality Related to Proofs of Strong Converse Theorems for Source or Channel Networks. - Thiam Khean Hah, Yeong Tat Liew, Jason Ong:
Low Precision Constant Parameter CNN on FPGA. - István András Seres
Topological Analysis of Bitcoin's Lightning Network. - Leonid Yavits, Roman Kaplan, Ran Ginosar:
AIDA: Associative DNN Inference Accelerator. - Michael Hopfengaertner:
An open-source sensor platform for analysis of group dynamics. - Jie Tang, Shaoshan Liu, Bo Yu, Weisong Shi:
PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services. - Mathias Gottschlag
Mechanism to Mitigate AVX-Induced Frequency Reduction. - Ciprian Ionut Paduraru, Gheorghe Stefanescu:
Adaptive virtual organisms: A compositional model for complex hardware-software binding. - MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Wook Song, Jaeyun Jung, Hyoungjoo Ahn, Sangjung Woo, Youngchul Cho, JinHyuck Park, Sewon Oh, Hong-Seok Kim:
NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications. - Hazoor Ahmad, Muhammad Tanvir, Muhammad Abdullah, Muhammad Usama Javed, Rehan Hafiz, Muhammad Shafique:
Systimator: A Design Space Exploration Methodology for Systolic Array based CNNs Acceleration on the FPGA-based Edge Nodes. - Aajna Karki, Chethan Palangotu Keshava, Spoorthi Mysore Shivakumar, Joshua Skow, Goutam Madhukeshwar Hegde, Hyeran Jeon:
Tango: A Deep Neural Network Benchmark Suite for Various Accelerators. - (Withdrawn) A Survey of FPGA Based Deep Learning Accelerators: Challenges and Opportunities.
- Carlos E. B. S. Júnior, Matheus F. Torquato, Marcelo A. C. Fernandes:
Application-Specific System Processor for the SHA-1 Hash Algorithm. - Fabrizio Angiulli:
CFOF: A Concentration Free Measure for Anomaly Detection. - Xinli Yu, Zheng Chen, Wei-Shih Yang, Xiaohua Hu, Erjia Yan:
Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews. - Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng:
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. - Shanghua Xiao:
Light-weighted Saliency Detection with Distinctively Lower Memory Cost and Model Size. - Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua:
Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput. - Alberto Vera, Siddhartha Banerjee:
The Bayesian Prophet: A Low-Regret Framework for Online Decision Making. - Igor Kopestenski, Peter Van Roy:
Achlys : Towards a framework for distributed storage and generic computing applications for wireless IoT edge networks with Lasp on GRiSP. - Matthias Schildwächter, Alexander Bondarenko, Julian Zenker, Matthias Hagen, Chris Biemann, Alexander Panchenko:
Answering Comparative Questions: Better than Ten-Blue-Links? - Mohammad Mahdi Dehshibi, Jitka Cejková, Dominik Svara, Andrew Adamatzky:
On complexity of branching droplets in electrical field. - Shirin Jalali, Xin Yuan:
Using auto-encoders for solving ill-posed linear inverse problems. - Miguel de Prado, Jing Su, Rozenn Dahyot, Rabia Saeed, Lorenzo Keller, Noelia Vállez:
AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools. - Ryan A. Ebardo:
The Use of Activity Trackers for Health Empowerment and Commitment: The Philippine Cycling Perspective. - Jonathan Dumas, Bertrand Cornélusse:
Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies. - Abhimanyu Sahai, Romann Weber, Brian McWilliams:
Spectrogram Feature Losses for Music Source Separation. - Guangjun Wang:
A novel 3D display based on micro-volumetric scanning and real time reconstruction of holograms principle. - Saptarshi Sengupta:
Investigating Antigram Behaviour using Distributional Semantics. - Matteo Busi, Pierpaolo Degano, Letterio Galletta:
Translation Validation for Security Properties. - Zhiyuan Jiang, Sheng Zhou:
Status from a Random Field: How Densely Should One Update? - Jacob Beck, Zoe Papakipos, Michael L. Littman:
ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback. - Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove:
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. - Bao Zhao, Xiaobo Chen, Xinyi Le, Juntong Xi:
A Comprehensive Performance Evaluation for 3D Transformation Estimation Techniques. - Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman:
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. - Debayan Deb, Arun Ross, Anil K. Jain, Kwaku O. Prakah-Asante, K. Venkatesh Prasad:
Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features. - Omar Alrabiah, Venkatesan Guruswami:
An Exponential Lower Bound on the Sub-Packetization of MSR Codes. - Xilei Cao, Gurupraanesh Raman, Gururaghav Raman, Jimmy Chih-Hsien Peng:
Generative Adversarial Networks for Real-time Stability of Inverter-based Systems. - Giulio Giorcelli:
Variable-sized input, character-level recurrent neural networks in lead generation: predicting close rates from raw user inputs. - Matthew Black, TingWei Liu, Tony Cai:
Atomic Loans: Cryptocurrency Debt Instruments. - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis. - Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang:
Attention-aware Multi-stroke Style Transfer. - Maleknaz Nayebi, Guenther Ruhe:
Asymmetric Release Planning-Compromising Satisfaction against Dissatisfaction. - Nikolaos Passalis, Anastasios Tefas:
Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval. - Abhinav Jangda, Gaurav Anand:
Predicting Variable Types in Dynamically Typed Programming Languages. - Guangmo Tong, Ding-Zhu Du:
Beyond Uniform Reverse Sampling: A Hybrid Sampling Technique for Misinformation Prevention. - Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis:
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. - Ragini Chaluvadi, Bolli Madhuri, Srikrishna Bhashyam:
Channel Conditions for the Optimality of Interference Decoding Schemes for K-user Gaussian Interference Channels. - Muah Kim, Jy-yong Sohn, Jaekyun Moon:
Coded Matrix Multiplication on a Group-Based Model. - Negar Mehr, Roberto Horowitz:
How Will the Presence of Autonomous Vehicles Affect the Equilibrium State of Traffic Networks? - Ravikant Saini, Deepak Mishra, Swades De:
Utility Regions for DF Relay in OFDMA-based Secure Communication with Untrusted Users. - Fudong Wang, Gui-Song Xia, Nan Xue, Yipeng Zhang, Marcello Pelillo:
A Functional Representation for Graph Matching. - Willem H. Zuidema, Dieuwke Hupkes, Geraint A. Wiggins, Constance Scharff, Martin Rohrmeier:
Formal models of Structure Building in Music, Language and Animal Songs. - Mustafa Bal, Rangel Milushev, Kaan Armagan:
VeriSign: A Secure Contract Consensus Platform on the Blockchain with Amendment Functionality. - Gilles Barthe, Justin Hsu, Mingsheng Ying, Nengkun Yu, Li Zhou:
Coupling Techniques for Reasoning about Quantum Programs. - Bogdan Trasnea, Andrei Vasilcoi, Claudiu Pozna, Sorin Mihai Grigorescu:
GridSim: A Vehicle Kinematics Engine for Deep Neuroevolutionary Control in Autonomous Driving. - Liviu Marina, Bogdan Trasnea
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding. - Yuxuan Sun, Xueying Guo, Jinhui Song, Sheng Zhou, Zhiyuan Jiang, Xin Liu, Zhisheng Niu:
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems. - Lukas Kades, Jan M. Pawlowski:
The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems. - Myeongjun Jang, Pilsung Kang:
Sentence transition matrix: An efficient approach that preserves sentence semantics. - Nicola Prezza, Giovanna Rosone:
Space-Efficient Computation of the LCP Array from the Burrows-Wheeler Transform. - Manash Pratim Barman, Kavish Dahekar, Abhinav Anshuman, Amit Awekar
It's Only Words And Words Are All I Have. - Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu
Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter. - Blerina Gkotse, Pierre Jouvelot, Federico Ravotti:
IEDM, an Ontology for Irradiation Experiment Data Management. - Yun-Cheng Tsai, Jun-Hao Chen, Chun-Chieh Wang:
Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks. - Sukjong Ha, Jingjing Zhang, Osvaldo Simeone, Joonhyuk Kang:
Coded Federated Computing in Wireless Networks with Straggling Devices and Imperfect CSI. - Bjørn Fjukstad, Nina Angelvik, Morten Grønnesby, Maria Wulff Hauglann, Hedinn Gunhildrud, Fredrik Høisæther Rasch, Julianne Iversen, Margaret Dalseng, Lars Ailo Bongo:
Teaching Electronics and Programming in Norwegian Schools Using the air: bit Sensor Kit. - Pierre Ganty, Pedro Valero:
Regular Expression Search on Compressed Text. - Raphael Deimel:
Timely Negotiation and Correction of Shared Intentions With Body Motion. - Zhiri Tang, Yanhua Chen, Shizhuo Ye, Ruihan Hu, Qijun Huang, Sheng Chang:
Fully Memristive Spiking-Neuron Learning Framework and its Applications on Pattern Recognition and Edge Detection. - Bodo Kaiser, Shadi Albarqouni:
MRI to CT Translation with GANs. - Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi:
Asymptotic Analysis on LDPC-BICM Scheme for Compute-and-Forward Relaying. - Massimo Equi, Roberto Grossi, Veli Mäkinen:
On the Complexity of Exact Pattern Matching in Graphs: Binary Strings and Bounded Degree. - Peter Sjögårde, Per Ahlgren:
Granularity of algorithmically constructed publication-level classifications of research publications: Identification of specialties. - Paolo Laffranchini, Luís E. T. Rodrigues, Marco Canini
Measurements As First-class Artifacts. - Zuchao Li, Shexia He, Hai Zhao, Yiqing Zhang, Zhuosheng Zhang, Xi Zhou, Xiang Zhou:
Dependency or Span, End-to-End Uniform Semantic Role Labeling. - Yoav Goldberg:
Assessing BERT's Syntactic Abilities. - Chao Zhai, Hehong Zhang, Gaoxi Xiao, Tso-Chien Pan:
Contingency Identification of Cascading Failures in Power Transmission Networks. - David Auger, Pierre Coucheney, Yann Strozecki:
Solving Simple Stochastic Games with few Random Nodes faster using Bland's Rule. - Risheng Liu, Minjun Hou, Xin Fan, Zhongxuan Luo:
Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions. - Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang:
Robot Sequential Decision Making using LSTM-based Learning and Logical-probabilistic Reasoning. - Ruifeng Duan, Estifanos Yohannes Menta, Hüseyin Yigitler, Riku Jäntti, Zhu Han:
Hybrid Beamformer Design for High Dynamic Range Ambient Backscatter Receivers. - Geraldo A. Barbosa:
A wireless secure key distribution system with no couriers: a One-Time-Pad Revival. - Wouter M. Kouw, Marco Loog:
A review of single-source unsupervised domain adaptation. - Vincenzo Sciancalepore, Marco Di Renzo, Xavier Costa-Pérez:
STORNS: Stochastic Radio Access Network Slicing. - Francesco Cremonesi, Georg Hager, Gerhard Wellein, Felix Schürmann:
Analytic Performance Modeling and Analysis of Detailed Neuron Simulations. - Stefano Forti, Gian-Luigi Ferrari, Antonio Brogi:
Secure Cloud-Edge Deployments, with Trust. - Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg:
TensorFlow.js: Machine Learning for the Web and Beyond. - Sephora Madjiheurem, Laura Toni:
Representation Learning on Graphs: A Reinforcement Learning Application. - Shridhar Ravikumar:
Lightweight Markerless Monocular Face Capture with 3D Spatial Priors. - Hamid Shahrivari Joghan, Alireza Bagheri, Meysam Azad:
Weighted Label Propagation Algorithm based on Local Edge Betweenness. - Hui Men, Hanhe Lin
Technical Report on Visual Quality Assessment for Frame Interpolation. - Antonino Leonardis, Gianfranco d'Atri, Fabio Caldarola:
The notion of "Unimaginable Numbers" in computational number theory. - Vishwanath A. Sindagi, Vishal M. Patel:
DAFE-FD: Density Aware Feature Enrichment for Face Detection. - Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi:
UAN: Unified Attention Network for Convolutional Neural Networks. - Rene M. Lacher, Francisco Vasconcelos, Norman R. Williams, Gerrit Rindermann, John H. Hipwell, David J. Hawkes, Danail Stoyanov:
Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation. - Jacob Levy Abitbol, Márton Karsai, Eric Fleury:
Location, Occupation, and Semantics based Socioeconomic Status Inference on Twitter. - Amine Benelallam, Nicolas Harrand, César Soto-Valero, Benoit Baudry, Olivier Barais:
The Maven Dependency Graph: a Temporal Graph-based Representation of Maven Central. - Gregory D. Hager, Ann W. Drobnis
Artificial Intelligence for Social Good. - Mustafa Cemil Coskun, Gianluigi Liva, Johan Östman, Giuseppe Durisi:
Low-Complexity Joint Channel Estimation and List Decoding of Short Codes. - Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré, Jason Weston:
Learning from Dialogue after Deployment: Feed Yourself, Chatbot! - Song Fang, Karl Henrik Johansson, Mikael Skoglund, Henrik Sandberg, Hideaki Ishii:
Two-Way Coding in Control Systems Under Injection Attacks: From Attack Detection to Attack Correction. - (Withdrawn) A Novel Geomechanics Concept for Earthquake Excitations Applied in Time Domain.
- Nikolaus Binder, Alexander Keller:
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions. - Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. - Peng Zou, Omur Ozel
Relative Age of Information: A New Metric for Status Update Systems. - Michael Cerny Green
Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents. - Zenna Tavares, Javier Burroni, Edgar Minaysan, Armando Solar-Lezama, Rajesh Ranganath:
Soft Constraints for Inference with Declarative Knowledge. - Jun Zhang, Daqing Wan, Krishna Kaipa:
Deep Holes of Projective Reed-Solomon Codes. - Taekho You, Woo-Sung Jung:
A System Dynamics Analysis of National R&D Performance Measurement System in Korea. - Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. - Andreas Lindner, Roberto Guanciale, Roberto Metere:
TrABin: Trustworthy Analyses of Binaries. - Mikhail Kamenev, Yulia Kameneva, Oleg Kurmaev, Alexey Maevskiy:
Permutation Decoding of Polar Codes. - Marcelo Ponce, Erik Spence, Ramses van Zon, Daniel Gruner:
Bridging the Educational Gap between Emerging and Established Scientific Computing Disciplines. - Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao:
An Underwater Image Enhancement Benchmark Dataset and Beyond. - Efi Karra Taniskidou, George Papadakis, George Giannakopoulos, Manolis Koubarakis:
Comparative Analysis of Content-based Personalized Microblog Recommendations [Experiments and Analysis]. - Yannick Roy, Hubert J. Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert:
Deep learning-based electroencephalography analysis: a systematic review. - Anton Andreychuk, Konstantin S. Yakovlev, Dor Atzmon, Roni Stern:
Multi-Agent Pathfinding (MAPF) with Continuous Time. - Christoforos Kanellakis, Emil Fresk, Sina Sharif Mansouri, Dariusz Kominiak, George Nikolakopoulos:
Autonomous visual inspection of large-scale infrastructures using aerial robots. - Renato Giorgiani Nascimento, Felipe Antonio Chegury Viana
Fleet Prognosis with Physics-informed Recurrent Neural Networks. - Alexander Golovnev, Dávid Pál, Balázs Szörényi:
The information-theoretic value of unlabeled data in semi-supervised learning. - Rocío Díaz de León Torres, Martín Molina, Pascual Campoy:
Survey of Bayesian Networks Applications on Unmanned Intelligent Autonomous Vehicles. - Alessandro Chiolerio, Carsten Jost, Thomas C. Draper, Andrew Adamatzky:
The pH sensitivity of solvated tectomer electronics. - Ramses van Zon, Marcelo Ponce, Erik Spence, Daniel Gruner:
Trends in Demand, Growth, and Breadth in Scientific Computing Training Delivered by a High-Performance Computing Center. - Abhishek Das, Devi Parikh, Dhruv Batra:
Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018). - Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick:
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. - Murat Kuscu, Özgür B. Akan:
Spectrum Sensing in Molecular Communications with Ligand Receptors. - Palash Sarkar, Sudhan Majhi, Zi Long Liu:
A Direct and Generalized Construction of Polyphase Complementary Set with Low PMEPR and High Code-Rate for OFDM System. - Murat Kuscu, Ergin Dinc, Bilgesu Arif Bilgin, Hamideh Ramezani, Özgür B. Akan:
Transmitter and Receiver Architectures for Molecular Communications: A Survey on Physical Design with Modulation, Coding and Detection Techniques. - Bernardo Lopo Tavares:
An analysis of the Geodesic Distance and other comparative metrics for tree-like structures. - Hugo N. Oliveira, Edemir Ferreira, Jefersson A. dos Santos:
Conditional Domain Adaptation GANs for Biomedical Image Segmentation. - Xia Li, Yen-Liang Lin, James Miller, Alex Cheon, Walt Dixon:
Primitive-based 3D Building Modeling, Sensor Simulation, and Estimation. - Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. - Gladys M. H. Hilasaca, Fernando Vieira Paulovich:
Visual Feature Fusion and its Application to Support Unsupervised Clustering Tasks. - Md. Lushanur Rahman, J. Andrew Zhang
Framework for a Perceptive Mobile Network using Joint Communication and Radar Sensing. - Ryan Gabrys, Son Hoang Dau, Charles J. Colbourn, Olgica Milenkovic:
Set-Codes with Small Intersections and Small Discrepancies. - Randell Cotta, Mingyang Hu, Dan Jiang, Peizhou Liao:
Off-Policy Evaluation of Probabilistic Identity Data in Lookalike Modeling. - Leyla Roohi, Benjamin I. P. Rubinstein, Vanessa Teague:
Differentially-Private Two-Party Egocentric Betweenness Centrality. - Soheila Sadeghiram, Hui Ma, Gang Chen:
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition. - Shichen Liu, Weikai Chen, Tianye Li, Hao Li:
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction. - Jiawei Fei, Yang Shi, Qun Huang, Mei Wen:
Metaflow: A DAG-Based Network Abstraction for Distributed Applications. - Furong Ye, Carola Doerr, Thomas Bäck:
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. - Chuan Wang, Takeshi Onishi, Keiichi Nemoto, Kwan-Liu Ma:
Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks. - Thang Doan, Neil Veira, Brian Keng:
Generating Realistic Sequences of Customer-level Transactions for Retail Datasets. - Abhishek Venkataraman, Brent Griffin, Jason J. Corso:
Kinematically-Informed Interactive Perception: Robot-Generated 3D Models for Classification. - Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs. - William F. Whitney, Rob Fergus:
Disentangling Video with Independent Prediction. - Fenglei Fan, Hongming Shan, Ge Wang:
Quadratic Autoencoder for Low-Dose CT Denoising. - Michael L. Iuzzolino, Michael E. Walker, Daniel Szafir:
Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails. - Xiaoguang Tu, Jian Zhao, Mei Xie, Guodong Du, Hengsheng Zhang, Jianshu Li, Zheng Ma, Jiashi Feng:
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing. - Maleknaz Nayebi, Guenther Ruhe, Thomas Zimmermann:
Mining Treatment-Outcome Constructs from Sequential Software Engineering Data. - Shahjalal Ahmed, Md. Rafiqul Islam, Jahid Hassan, Minhaz Uddin Ahmed, Bilkis Jamal Ferdosi, Sanjay Saha, Md. Shopon:
Hand Sign to Bangla Speech: A Deep Learning in Vision based system for Recognizing Hand Sign Digits and Generating Bangla Speech. - Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma:
Deep Transfer Across Domains for Face Anti-spoofing. - Madhawa Vidanapathirana, Lakmal Meegahapola, Indika Perera:
Cognitive Analysis of 360 degree Surround Photos. - Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma:
Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture. - Caigui Jiang
Computational Design of Lightweight Trusses. - Bernhard Mehlig:
Artificial Neural Networks. - Mehrdad Zakershahrak, Yu Zhang:
Interactive Plan Explicability in Human-Robot Teaming. - Taotao Wang, Lihao Zhang, Soung Chang Liew:
Deep Learning for Joint MIMO Detection and Channel Decoding. - Yingting Li, Lu Liu, Robby T. Tan:
Certainty-Driven Consistency Loss for Semi-supervised Learning. - Minglong Qi, Shengwu Xiong:
Two classes of linear codes with a few weights based on twisted Kloosterman sums. - Olivier Cardin, Anne L'Anton:
Proposition of an implementation framework enabling benchmarking of Holonic Manufacturing Systems. - Oluwaseyi Feyisetan, Elena Simperl:
Beyond monetary incentives: experiments in paid microtask contests modelled as continuous-time markov chains. - Carlos Indriago, Latéfa Ghomri, Olivier Cardin:
H2CM-based holonic modeling of a gas pipeline. - Saeed Ehteshamifar, Antonio Barresi, Thomas R. Gross, Michael Pradel:
Easy to Fool? Testing the Anti-evasion Capabilities of PDF Malware Scanners. - Xueying Wang, Lei Liu, Guangli Li, Xiao Dong, Peng Zhao, Xiaobing Feng:
Background subtraction on depth videos with convolutional neural networks. - Florian Hauer, Bernd Holzmüller:
Szenario-Optimierung für die Absicherung von automatisierten und autonomen Fahrsystemen. - Yuma Kinoshita, Hitoshi Kiya:
Image Enhancement Network Trained by Using HDR images. - Normann Decker, Anton Pirogov:
Flat Model Checking for Counting LTL Using Quantifier-Free Presburger Arithmetic. - David Howard, Ágoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, David A. Winkler:
Evolving embodied intelligence from materials to machines. - Reza Akbarinia, Bertrand Cloez:
Efficient Matrix Profile Computation Using Different Distance Functions. - Bastian Alt
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version). - Antonio Brogi, Stefano Forti, Carlos Guerrero, Isaac Lera:
How to Place Your Apps in the Fog - State of the Art and Open Challenges. - Lingchen Huang, Huazi Zhang, Rong Li, Yiqun Ge, Jun Wang:
AI Coding: Learning to Construct Error Correction Codes. - Mahesh Babu Vaddi, B. Sundar Rajan:
A Relation Between Weight Enumerating Function and Number of Full Rank Sub-matrices. - Hanan ElNaghy, Leo Dorst:
Morphological Simplification of Archaeological Fracture Surfaces. - Yonatan Shadmi, Peter Jung, Giuseppe Caire:
Sparse Non-Negative Recovery from Biased Subgaussian Measurements using NNLS. - Kai Wan, Daniela Tuninetti
On Coded Caching with Correlated Files. - Mostafa Salem, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Arnau Oliver, Joaquim Salvi, Alex Rovira, Xavier Lladó:
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET. - Jan Scholz:
Genetic Algorithms and the Traveling Salesman Problem a historical Review. - Chenyu Huang, Zeyu Wang, Huangxun Chen, Qiwei Hu, Qian Zhang, Wei Wang, Xia Guan:
RepChain: A Reputation based Secure, Fast and High Incentive Blockchain System via Sharding. - Zhiyuan Chen, Annan Li, Yunhong Wang:
Video-Based Pedestrian Attribute Recognition. - Ícaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised Graph-based Rank Aggregation for Improved Retrieval. - Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber:
The Oracle of DLphi. - Hamdi Joudeh, Xinping Yi, Bruno Clerckx:
On Multi-Cell Uplink-Downlink Duality with Treating Inter-Cell Interference as Noise. - Krzysztof Rusek, Piotr Cholda:
Message-Passing Neural Networks Learn Little's Law. - Emanuele D'Osualdo, Azadeh Farzan, Philippa Gardner, Julian Sutherland:
TaDA Live: Compositional Reasoning for Termination of Fine-grained Concurrent Programs. - Fernando Macías, Uwe Wolter, Adrian Rutle, Francisco Durán, Roberto Rodríguez-Echeverría:
Multilevel Coupled Model Transformations for Precise and Reusable Definition of Model Behaviour. - Hao Tong, Changwu Huang, Jialin Liu, Xin Yao:
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. - Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang:
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. - Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh:
Attentive Neural Processes. - Wei Liu, Chaofeng Chen, Kwan-Yee K. Wong:
SAFE: Scale Aware Feature Encoder for Scene Text Recognition. - Miikka Kuutila, Mika Mäntylä, Umar Farooq, Maëlick Claes:
Time Pressure in Software Engineering: A Systematic Literature Review. - Jingke Xu, Yaqian Zhang, Zhifang Zhang:
A Capacity-Achieving T-PIR Scheme Based On MDS Array Codes. - Satoshi Kida, Shizuo Kaji, Kanabu Nawa, Toshikazu Imae, Takahiro Nakamoto, Sho Ozaki, Takeshi Ohta, Yuki Nozawa, Keiichi Nakagawa:
Cone-beam CT to Planning CT synthesis using generative adversarial networks. - Arezou Rezazadeh
Joint Source-Channel Coding for the Multiple-Access Channel with Correlated Sources. - Ayoub Mars, Wael Adi:
New Family of Stream Ciphers as Physically Clone-Resistant VLSI-Structures. - Nikolaj Tatti, Pauli Miettinen
Boolean matrix factorization meets consecutive ones property. - Jiabao Wang, Yang Li, Zhuang Miao:
Ensemble Feature for Person Re-Identification. - Francesco Bronzino
Lightweight, General Inference of Streaming Video Quality from Encrypted Traffic. - Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon, Sam H. Noh:
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement. - Lei Fan, Yucai Bai, Ziyu Pan, Long Chen:
Towards Building the Semantic Map from a Monocular Camera with a Multi-task Network. - Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving. - Shanuja Sasi, B. Sundar Rajan:
On Pliable Index Coding. - Vinay Kumar, Vivek Singh Bawa:
No reference image quality assessment metric based on regional mutual information among images. - Yung-Sung Chuang:
Robust Chinese Word Segmentation with Contextualized Word Representations. - Chung Chan, Navin Kashyap, Praneeth Kumar Vippathalla, Qiaoqiao Zhou:
One-Shot Perfect Secret Key Agreement for Finite Linear Sources. - Walid R. Ghanem, Vahid Jamali, Yan Sun, Robert Schober:
Resource Allocation for Multi-User Downlink URLLC-OFDMA Systems. - Keun Woo Lim, Katarzyna Kapusta, Gérard Memmi, Woo-Sung Jung:
Multi-hop Data Fragmentation in Unattended Wireless Sensor Networks. - Nese Alyüz, Eda Okur, Utku Genc, Sinem Aslan, Cagri Tanriover, Asli Arslan Esme:
Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students. - Luisa D'Amore, Valeria Mele, Diego Romano, Giuliano Laccetti:
A Multilevel Approach for the Performance Analysis of Parallel Algorithms. - Pierre Ciholas, Aidan Lennie, Parvin Sadigova, Jose M. Such:
The Security of Smart Buildings: a Systematic Literature Review. - Amélie Levray, Vaishak Belle:
Learning Tractable Probabilistic Models in Open Worlds. - Tomoyuki Yamakami:
Supportive Oracles for Parameterized Polynomial-Time Sub-Linear-Space Computations in Relation to L, NL, and P. - Gyeong Taek Lee, Chang Ouk Kim:
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
Age of Information With Prioritized Streams: When to Buffer Preempted Packets? - Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention based Network for Hand Bone Age Assessment. - Sebastian Cammerer, Xiaojie Wang, Yingyan Ma, Stephan ten Brink:
Spatially Coupled LDPC Codes and the Multiple Access Channel. - Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks. - Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang:
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search. - Swalpa Kumar Roy, Suvojit Manna, Shiv Ram Dubey, Bidyut B. Chaudhuri:
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks. - Bhavana M, Prasad Krishnan:
On Index coding for Complementary Graphs with focus on Circular Perfect Graphs. - Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey:
A Performance Comparison of Loss Functions for Deep Face Recognition. - Xinyu Hu, Paul A. Szerlip, Theofanis Karaletsos, Rohit Singh:
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference. - Agnes Rohlin, Henrik Fahlgren, Miquel Pericàs:
High performance scheduling of mixed-mode DAGs on heterogeneous multicores. - Lakshmi Natarajan, Hoang Dau, Prasad Krishnan, V. Lalitha:
Locality in Index Coding for Large Min-Rank. - Miao Tony He, Jungmin Park, Adib Nahiyan, Apostol Vassilev, Yier Jin, Mark M. Tehranipoor:
RTL-PSC: Automated Power Side-Channel Leakage Assessment at Register-Transfer Level. - Arkadev Chattopadhyay, Meena Mahajan, Nikhil S. Mande, Nitin Saurabh:
Lower Bounds for Linear Decision Lists. - Tianhang Zheng, Zhi Sun, Kui Ren:
FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification. - Ahad N. Zehmakan:
Tight Bounds on the Minimum Size of a Dynamic Monopoly. - Francesco Kriegel:
The Distributive, Graded Lattice of EL Concept Descriptions and its Neighborhood Relation (Extended Version). - Çagkan Yapar, Kai Wan, Rafael F. Schaefer, Giuseppe Caire:
On the Optimality of D2D Coded Caching with Uncoded Cache Placement and One-shot Delivery. - Yulun Tian, Kasra Khosoussi, Jonathan P. How:
Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees. - Narges Kazempour, Mahtab Mirmohseni, Mohammad Reza Aref:
Private Authentication: Optimal Information Theoretic Schemes. - Wenda Zhou, Shirin Jalali:
Denoising of structured random processes. - Jennifer J. Gago, Juan G. Victores, Carlos Balaguer:
Sign Language Representation by TEO Humanoid Robot: End-User Interest, Comprehension and Satisfaction. - Bagus Santoso, Yasutada Oohama:
Information Theoretic Security for Broadcasting of Two Encrypted Sources under Side-Channel Attacks. - Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo:
Foreground-aware Image Inpainting. - Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation. - Taylor Sweet, Austin Rothwell, Xuan Luo:
Machine Learning Techniques for Brand-Influencer Matchmaking on the Instagram Social Network. - Fedor Zhdanov:
Diverse mini-batch Active Learning. - Roman Kaplan, Leonid Yavits, Ran Ginosar:
BioSEAL: In-Memory Biological Sequence Alignment Accelerator for Large-Scale Genomic Data. - Ahmed Aly, David Weikersdorfer, Claire Delaunay:
Optimizing Deep Neural Networks with Multiple Search Neuroevolution. - Amod Jog, Andrew Hoopes, Douglas N. Greve, Koen Van Leemput, Bruce Fischl:
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation. - Thomas Villmann, John Ravichandran, Andrea Villmann, David Nebel, Marika Kaden:
Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison. - Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn:
Characterizing the Use of Images by State-Sponsored Troll Accounts on Twitter. - Konstantinos Psychas
Scheduling Jobs with Random Resource Requirements in Computing Clusters. - Ha-Vu Tran, Georges Kaddoum:
Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks. - Ziyou Song, Xiaogang Wu, Xuefeng Li, Jun Hou, Heath F. Hofmann, Jing Sun:
The Sequential Algorithm for Combined State of Charge and State of Health Estimation of Lithium Ion Battery based on Active Current Injection. - Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin:
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. - Samira Masoudi, Afsaneh Razi, Cameron H. G. Wright, Jesse C. Gatlin, Ulas Bagci:
Instance-Level Microtubule Segmentation Using Recurrent Attention. - Arash Gholami Davoodi, Syed Ali Jafar:
Degrees of Freedom Region of the (M, N1, N2) MIMO Broadcast Channel with Partial CSIT: An Application of Sum-set Inequalities Based on Aligned Image Sets. - Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs:
FARSA: Fully Automated Roadway Safety Assessment. - Todor M. Mishonov, Albert M. Varonov:
The Wynn identity as the long sought criterion for the choice of the optimal Padé approximant. - Field G. Van Zee, Devangi N. Parikh, Robert A. van de Geijn:
Supporting mixed-datatype matrix multiplication within the BLIS framework. - Fernanda Madeiral, Simon Urli, Marcelo de Almeida Maia, Martin Monperrus:
Bears: An Extensible Java Bug Benchmark for Automatic Program Repair Studies. - Rahul Rama Varior, Bing Shuai, Joe Tighe, Davide Modolo:
Scale-Aware Attention Network for Crowd Counting. - Asifullah Khan, Anabia Sohail, Umme Zahoora, Aqsa Saeed Qureshi:
A Survey of the Recent Architectures of Deep Convolutional Neural Networks. - Si Lu:
High-speed Video from Asynchronous Camera Array. - Theresa Breiner, Chieu Nguyen, Daan van Esch, Jeremy O'Brien:
Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages. - Grey Ballard, Alicia M. Klinvex, Tamara G. Kolda:
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition. - Si Lu:
Good Similar Patches for Image Denoising. - Zizheng Yan, Xiaoguang Han, Changmiao Wang, Yuda Qiu, Zixiang Xiong, Shuguang Cui:
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images. - Joseph M. Abdou, Nikolaos Pnevmatikos, Marco Scarsini, Xavier Venel:
Decomposition of games: some strategic considerations. - Umut Simsekli, Levent Sagun, Mert Gürbüzbalaban:
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks. - Wenqing Hu, Zhanxing Zhu, Haoyi Xiong, Jun Huan:
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent. - Jie Li, Xiaohu Tang:
A Note on the Transformation to Enable Optimal Repair in MDS Codes for Distributed Storage Systems. - Hai Zhao, Deng Cai, Changning Huang, Chunyu Kit:
Chinese Word Segmentation: Another Decade Review (2007-2017). - Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. - Sheng He, Lambert Schomaker:
DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning. - Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum:
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning. - Tianbing Xu, Andrew Zhang, Liang Zhao:
WALL-E: An Efficient Reinforcement Learning Research Framework. - Mingzhang Huang, Hongfei Fu, Krishnendu Chatterjee, Amir Kafshdar Goharshady:
Compositional Analysis for Almost-Sure Termination of Probabilistic Programs. - Jintai Yang, Jingran Lin, Qingjiang Shi, Qiang Li:
Array Pattern Synthesis: A Tighter Robust Model and ADMM-Based Solution. - Uzair Ahmed, Asifullah Khan, Saddam Hussain Khan, Abdul Basit, Irfan Ul Haq, Yeon Soo Lee:
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry. - Yubin Xia, Qingyuan Liu, Cheng Tan, Jing Leng, Shangning Xu, Binyu Zang, Haibo Chen:
Taming Distrust in the Decentralized Internet with PIXIU. - Yuefang Sun, Xiaoyan Zhang, Zhao Zhang:
Extremality and Sharp Bounds for the k-edge-connectivity of Graphs. - Yijia Zhang, Zhiyong Lu:
Exploring Semi-supervised Variational Autoencoders for Biomedical Relation Extraction. - Shufang Zhu, Geguang Pu, Moshe Y. Vardi:
First-Order vs. Second-Order Encodings for LTLf-to-Automata Translation. - Gustavo Goretkin, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Look before you sweep: Visibility-aware motion planning. - V. S. Unni, Sanjay Ghosh, Kunal Narayan Chaudhury:
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration. - Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang:
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint. - Pravin Nair, Kunal N. Chaudhury:
Fast High-Dimensional Kernel Filtering. - Bingli Jiao, Yuli Yang, Mingxi Yin:
Cocktail BPSK: Achievable Data Rate beyond Channel Capacity. - Dawei Chen
Cold-start Playlist Recommendation with Multitask Learning. - Weitao Feng, Zhihao Hu, Wei Wu, Junjie Yan, Wanli Ouyang:
Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification. - Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification. - Ryota Namba, Jun Sakuma:
Robust Watermarking of Neural Network with Exponential Weighting. - Chhote Lal Prasad Gupta, Anand Bihari, Sudhakar Tripathi:
Protein Classification using Machine Learning and Statistical Techniques: A Comparative Analysis. - Fabio Caraffini
Infeasibility and structural bias in Differential Evolution. - Qian Liu, Xingkang He, Haitao Fang:
Asymptotic Properties of Distributed Social Sampling Algorithm. - Jan Trienes, Krisztian Balog:
Identifying Unclear Questions in Community Question Answering Websites. - Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea Rosario Beccari, Luca Benini, Loïc Besnard, João Bispo, Radim Cmar, João M. P. Cardoso
The ANTAREX Domain Specific Language for High Performance Computing. - Alberto Garcia-Garcia, Brayan Stiven Zapata-Impata, Sergio Orts-Escolano, Pablo Gil
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors. - Daniela Cheptea, George Georgescu:
Boolean lifting property in quantales. - Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Jimin Xiao, Rui Zhang:
Generative Adversarial Classifier for Handwriting Characters Super-Resolution. - Carina Alves, Eliton M. Moro:
Optimal Space-Time Block Code Designs Based on Irreducible Polynomials of Degree Two. - Jie Xu, Wei Ding, Xiaoyan Hu:
GPU based Real-time Super Hosts Detection at Distributed Edge Routers. - Otmane Azeroual, Gunter Saake, Mohammad Abuosba:
Data Quality Measures and Data Cleansing for Research Information Systems. - Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Martin Golasowski, João Bispo, Pedro Pinto, Jan Martinovic, Katerina Slaninová, João M. P. Cardoso
An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System. - Dmitry Kangin, Nicolas Pugeault:
On-Policy Trust Region Policy Optimisation with Replay Buffers. - Niklas Koep, Arash Behboodi, Rudolf Mathar:
The Restricted Isometry Property of Block Diagonal Matrices for Group-Sparse Signal Recovery. - Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu:
On the Achievable Rate of a Sample-based Practical Photon-counting Receiver. - Oleksandr Bailo, DongShik Ham, Young Min Shin:
Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks. - Elazar Goldenberg, Karthik C. S.:
Towards a General Direct Product Testing Theorem. - Andrea Celli, Stefano Coniglio, Nicola Gatti:
Computing Optimal Coarse Correlated Equilibria in Sequential Games. - Tomás Martinovic, Davide Gadioli, Gianluca Palermo, Cristina Silvano:
On-line Application Autotuning Exploiting Ensemble Models. - Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Andrea Beccari, Carlo Cavazzoni, Cristina Silvano:
Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes. - Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolás E. Stier Moses:
Computing large market equilibria using abstractions. - Alexander Fengler, Peter Jung, Giuseppe Caire:
SPARCs for Unsourced Random Access. - Michael Kuperberg, Daniel Kindler, Sabina Jeschke:
Are Smart Contracts and Blockchains Suitable for Decentralized Railway Control? - Mehrnoosh Sameki, Sha Lai, Kate K. Mays, Lei Guo, Prakash Ishwar, Margrit Betke:
BUOCA: Budget-Optimized Crowd Worker Allocation. - Michele Gentile, Massimiliano Morrelli:
Integrazione di Apache Hive con Spark. - Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly:
Predicting Performance using Approximate State Space Model for Liquid State Machines. - Yuchao Zhou, Suparna De, Gideon Ewa, Charith Perera, Klaus Moessner:
Data-driven Air Quality Characterisation for Urban Environments: a Case Study. - Kevin Vincent:
Ethical Implications: The ACM/IEEE-CS Software Engineering Code applied to Tesla's "Autopilot" System. - Gourang Aggarwal, Vimal Patel, Gaurav Varshney, Kimberly Oostman:
Understanding the Social Factors Affecting the Cryptocurrency Market. - D. Sculley, Jasper Snoek, Alexander B. Wiltschko:
Avoiding a Tragedy of the Commons in the Peer Review Process. - Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang:
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. - Navid Kayhani, Hosein Taghaddos, Mojtaba Noghabaee, Ulrich Hermann:
Utilization of Virtual Reality Visualizations on Heavy Mobile Crane Planning for Modular Construction. - Oluwafunmilola Kesa, Violette Mahoro:
Rwandacoin: Prospects and challenges of developing a cryptocurrency for transactions in Rwanda. - Temitayo Matthew Fagbola, Ibrahim Adepoju Adeyanju, Olatayo Olaniyan, Adebimpe Esan, Bolaji Omodunbi, Ayodele Oloyede, Funmilola Egbetola:
Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Students Performance in Programming Courses. - Huimin Lu, Dong Wang, Yujie Li, Jianru Li, Xin Li, Hyoungseop Kim, Seiichi Serikawa, Iztok Humar:
CONet: A Cognitive Ocean Network. - Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida:
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. - Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir R. Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati:
NeuNetS: An Automated Synthesis Engine for Neural Network Design. - Gerald Schweiger, Cláudio Gomes, Georg P. Engel, Josef-Peter Schoeggl, Alfred Posch, Irene Hafner, Thierry Nouidu:
An Empirical Survey on Co-simulation: Promising Standards, Challenges and Research Needs. - Grigore Stamatescu, Iulia Stamatescu, Nicoleta Arghira, Ioana Fagarasan:
Data-driven Modelling of Smart Building Ventilation Subsystem. - Michel Cotte, Florent Laroche
Analysis of a site's integrity by 3D models and Integrated database, case study : the pic-du-midi high-mountain observatory (France). - Florian Richoux, Charlène Servantie, Cynthia Borès, Stéphane Téletchéa
Comparing two deep learning sequence-based models for protein-protein interaction prediction. - Vatsala Nundloll, Barry Porter, Gordon S. Blair, Jack Cosby, Bridget Emmett, Ben Winterbourn, Graham Dean, Philip Beattie, Rory Shaw, Davey Jones, Dave Chadwick, Mike Brown, Wayne Shelley, Izhar Ullah:
The Design and Deployment of an End-to-end IoT Infrastructure for the Natural Environment. - Sunil Saumya, Jyoti Prakash Singh, Abdullah Mohammed Baabdullah, Nripendra P. Rana, Yogesh Kumar Dwivedi:
Ranking Online Consumer Reviews. - Cédric Bleuler, Amos Lapidoth, Christoph Pfister:
Gambling and Rényi Divergence. - Marta Orduna, César Díaz, Lara Muñoz, Pablo Pérez, Ignacio Benito, Narciso García:
Video Multimethod Assessment Fusion (VMAF) on 360VR contents. - Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. - Daniel Kraft:
Game-Theoretic Randomness for Blockchain Games. - Eda Okur, Nese Alyüz, Sinem Aslan, Utku Genc, Cagri Tanriover, Asli Arslan Esme:
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data. - Alex Dytso, Martina Cardone, Mishfad S. Veedu, H. Vincent Poor:
On Estimation under Noisy Order Statistics. - Wei Sun, Tianfu Wu:
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation. - Mahmood A. Rashid, Krishneel Deo, Divnesh Prasad, Kunal Singh, Sarvesh Chand, Mansour H. Assaf:
TEduChain: A Platform for Crowdsourcing Tertiary Education Fund using Blockchain Technology. - Luca Albergante, Jonathan Bac, Andrei Yu. Zinovyev:
Estimating the effective dimension of large biological datasets using Fisher separability analysis. - Mohammad Hosseinabady, Mohd Amiruddin Bin Zainol, José L. Núñez-Yáñez:
Heterogeneous FPGA+GPU Embedded Systems: Challenges and Opportunities. - Bh. Rekha Devi, V. Lalitha:
On Epsilon-MSCR Codes for Two Erasures. - Petar Popovski, Osvaldo Simeone:
Start Making Sense: Semantic Plane Filtering and Control for Post-5G Connectivity. - Kristoffer Stern, Anders E. Kalør, Beatriz Soret, Petar Popovski:
Massive Random Access with Common Alarm Messages. - Fan Yang, Lei Zhang, Sijia Yu, Danil V. Prokhorov, Xue Mei, Haibin Ling:
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection. - Ruslan Alexandrovich Morozov, Peter Trifonov:
On Distance Properties of Convolutional Polar Codes. - Gérald Rocher, Jean-Yves Tigli
Effectiveness Assessment of Cyber-Physical Systems. - Pavel Ostyakov, Sergey I. Nikolenko:
Adapting Convolutional Neural Networks for Geographical Domain Shift. - Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal:
Cloud Resource Optimization for Processing Multiple Streams of Visual Data. - Laura Beggel, Michael Pfeiffer, Bernd Bischl:
Robust Anomaly Detection in Images using Adversarial Autoencoders. - Mayank Singh Chauhan, Arshdeep Singh, Mansi Khemka, Arneish Prateek, Rijurekha Sen:
Embedded CNN based vehicle classification and counting in non-laned road traffic. - Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers:
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. - Kyle C. Hale, Conor Hetland, Peter A. Dinda:
Multiverse: Easy Conversion of Runtime Systems into OS Kernels via Automatic Hybridization. - Davide Gadioli, Gianluca Palermo, Stefano Cherubin, Emanuele Vitali, Giovanni Agosta, Candida Manelfi, Andrea Rosario Beccari, Carlo Cavazzoni, Nico Sanna, Cristina Silvano:
Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App. - Konstantinos Koufos, Carl P. Dettmann:
Outage in Motorway Multi-Lane VANETs with Hardcore Headway Distance Using Synthetic Traces. - Eric Graves, Qiang Ning, Prithwish Basu:
An information theoretic model for summarization, and some basic results. - Eric Graves, Allison Beemer:
Modular design to transform codes for the wiretap channel of type I into codes for the wiretap channel of type II. - Ryuta Arisaka, Stefano Bistarelli
Block Argumentation. - Chaitanya Bapat, Ganesh Baleri, Shivani Inamdar, Anant V. Nimkar:
Smart-Lock Security Re-engineered using Cryptography and Steganography. - Shailja Agrawal, K. V. Sushena Sree, Prasad Krishnan:
Coded Caching based on Combinatorial Designs. - Bin Han, Vincenzo Sciancalepore, Di Feng, Xavier Costa-Pérez, Hans D. Schotten:
A Utility-Driven Multi-Queue Admission Control Solution for Network Slicing. - Atra Akandeh, Fathi M. Salem:
Slim LSTM networks: LSTM_6 and LSTM_C6. - Gencer Sumbul
Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery. - Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet:
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. - Mikhail N. Rybakov
Complexity and expressivity of propositional dynamic logics with finitely many variables. - Shoufeng Lan, Xueyue Zhang, Mohammad Taghinejad, Sean P. Rodrigues, Kyu-Tae Lee, Zhaocheng Liu, Wenshan Cai:
Metasurfaces for near-eye augmented reality. - Di Wang
Differentially Private High Dimensional Sparse Covariance Matrix Estimation. - Matthew Guzdial, Nicholas Liao, Jonathan Chen, Shao-Yu Chen, Shukan Shah, Vishwa Shah, Joshua Reno, Gillian Smith, Mark O. Riedl:
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators. - Timothy Whithing, Thiam Khean Hah:
Machine Learning with Clos Networks. - Jasmijn Bastings, Wilker Aziz, Ivan Titov, Khalil Sima'an:
Modeling Latent Sentence Structure in Neural Machine Translation. - Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. - Kenneth Palacio-Baus, Natasha Devroye:
Achievable Error Exponents of One-Way and Two-Way AWGN Channels. - Yutaka Jitsumatsu, Ukyo Michiwaki, Yasutada Oohama:
The Conditional Information Leakage Given Eavesdropper's Received Signals in Wiretap Channels. - Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
Genetic Algorithm-based Polar Code Construction for the AWGN Channel. - Paul Henderson, Vittorio Ferrari:
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. - Maotong Xu, Jelena Diakonikolas, Eytan H. Modiano, Suresh Subramaniam:
A Hierarchical WDM-based Scalable Data Center Network Architecture. - Chong Liu, Maotong Xu, Suresh Subramaniam:
A Reconfigurable High-Performance Optical Data Center Architecture. - Ronan Keane, Huaizhu Oliver Gao:
Calibration for Traffic Microsimulation using Trajectory Data, Part 1: Fast Calibration using the Adjoint Method. - David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane, Po-Nan Li:
Holographic Phase Retrieval and Optimal Reference Design. - Boyi Liu, Lujia Wang, Ming Liu, Chengzhong Xu:
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems. - Haoran Yin, Feng Li:
On the distance and algorithms of strong product digraphs. - Lu Wei:
Ergodic MIMO Mutual Information: Twenty Years After Emre Telatar. - Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David S. Ebert, Yung-Hsiang Lu, George K. Thiruvathukal:
Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. - Md Mahmudul Hasan, Shuangqing Wei, Ali Moharrer:
Algebraic Properties of Wyner Common Information Solution under Graphical Constraints. - Jing Zhang, Jing Tian, Yang Cao, Yuxiang Yang, Xiaobin Xu, Chenglin Wen:
Fine-grained ECG Classification Based on Deep CNN and Online Decision Fusion. - Dipanjan Das, Ratul Ghosh, Brojeshwar Bhowmick:
Deep Representation Learning Characterized by Inter-class Separation for Image Clustering. - Navneet Garg, Vimal Bhatia, B. N. Bharath, Mathini Sellathurai, Tharmalingam Ratnarajah:
Online Learning Models for Content Popularity Prediction In Wireless Edge Caching. - Tianyi Lin, Nhat Ho, Michael I. Jordan:
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms. - Vivek Kumar, Manuel Mazzara, Angelo Messina, JooYoung Lee:
A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks - Prevention and Prediction for Combating Terrorism. - Xiaole Zhao, Huali Zhang, Hangfei Liu, Yun Qin, Tao Zhang, Xueming Zou:
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network. - Dario Bertero, Onno Kampman, Pascale Fung:
Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets. - Sebastian Ochmann, Reinhard Klein:
Automatic normal orientation in point clouds of building interiors. - Max-Heinrich Laves, Sarah Latus, Jan Bergmeier, Tobias Ortmaier, Lüder A. Kahrs, Alexander Schlaefer:
Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery. - Huan Zhou, Jinwei Guo, Huiqi Hu, Weining Qian, Xuan Zhou, Aoying Zhou:
Guaranteeing Recoverability via Partially Constrained Transaction Logs. - Sidharth Negi, Ameya Dubey, Amitabha Bagchi, Manish Yadav, Nishant Yadav, Jeetu Raj:
Dynamic Partition Bloom Filters: A Bounded False Positive Solution For Dynamic Set Membership (Extended Abstract). - Sourya Dipta Das, Himanshu Ladia, Vaibhav Kumar, Shivansh Mishra:
Writer Independent Offline Signature Recognition Using Ensemble Learning. - Marios Georgiou:
Weak Keys and Cryptanalysis of a Cold War Block Cipher. - Anoop Jain, Miel Sharf, Daniel Zelazo:
Passivation and Cooperative Control of Equilibrium-Independent Passivity-Short Systems. - Alberto Garcia-Garcia, Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Sergio Orts-Escolano, José García Rodríguez, Alvaro Jover-Alvarez
The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions. - Zhi-Qin John Xu
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks. - Gabriel Campeanu, Mehrdad Saadatmand:
A Two-Layer Component-Based Allocation for Embedded Systems with GPUs. - Leigh Clark, Nadia Pantidi, Orla Cooney, Philip R. Doyle, Diego Garaialde, Justin Edwards, Brendan Spillane
What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents. - Simon Foucart, Laurent Jacques:
One-Bit Sensing of Low-Rank and Bisparse Matrices. - Vivek Kumar, Atul Samadhiya:
Image De-Noising For Salt and Pepper Noise by Introducing New Enhanced Filter. - Vivek Kumar, Atul Samadhiya:
Comparative Performance Analysis of Image De-noising Techniques. - James Stovold:
RDCSim: a GPU-Accelerated, Interactive Simulator for Reaction-Diffusion Chemistry. - Alejandro Aguirre, Gilles Barthe, Justin Hsu, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja:
Kantorovich Continuity of Probabilistic Programs. - Andrei M. Butnaru
MOROCO: The Moldavian and Romanian Dialectal Corpus. - Xiong Zheng, Vijay K. Garg:
An Optimal Vector Clock Algorithm for Multithreaded Systems. - Marta Bílková, Matej Dostál:
Moss' logic for ordered coalgebras. - (Withdrawn) Computing Optimal Tangles Faster.
- Emanuele Natale, Iliad Ramezani:
On the Necessary Memory to Compute the Plurality in Multi-Agent Systems. - Gil Shamai, Ron Slossberg, Ron Kimmel:
Synthesizing facial photometries and corresponding geometries using generative adversarial networks. - William Koch, Renato Mancuso, Azer Bestavros:
Neuroflight: Next Generation Flight Control Firmware. - Erik Mårtensson:
The Asymptotic Complexity of Coded-BKW with Sieving Using Increasing Reduction Factors. - Leilani H. Gilpin, Cecilia Testart, Nathaniel Fruchter, Julius Adebayo:
Explaining Explanations to Society. - Shruti Kotpalliwar, Pradyumna Paruchuri, Debasish Chatterjee, Ravi N. Banavar:
Discrete time optimal control with frequency constraints for non-smooth systems. - Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Jianbo Shi:
Consistent Optimization for Single-Shot Object Detection. - Shaeke Salman, Xiuwen Liu:
Overfitting Mechanism and Avoidance in Deep Neural Networks. - John S. Schreck, Connor W. Coley, Kyle J. M. Bishop:
Learning retrosynthetic planning through self-play. - Michael Xuelin Huang, Jiajia Li, Grace Ngai, Hong Va Leong, Andreas Bulling:
Moment-to-Moment Detection of Internal Thought from Eye Vergence Behaviour. - Yinan Zhang, Devin J. Balkcom, Haoxiang Li:
Towards Physically Safe Reinforcement Learning under Supervision. - Arindam Das, Saranya Kandan, Senthil Kumar Yogamani, Pavel Krízek:
Design of Real-time Semantic Segmentation Decoder for Automated Driving. - Inge Li Gørtz, Viswanath Nagarajan, Fatemeh Navidi:
Approximation Algorithms for the A Priori TravelingRepairman. - Hira Ahmad:
Face Detection and Face Recognition In the Wild Using Off-the-Shelf Freely Available Components. - Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Fitting ReLUs via SGD and Quantized SGD. - Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan:
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. - Hexiang Hu, Ishan Misra, Laurens van der Maaten:
Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding. - Anran Wang, Shyamnath Gollakota:
MilliSonic: Pushing the Limits of Acoustic Motion Tracking. - Mohsen Shahriari, Ralf Klamma, Matthias Jarke:
Investigating Cooperativity of Overlapping Community Structures in Social Networks. - Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin:
Hierarchical Attentional Hybrid Neural Networks for Document Classification. - Mohsen Shahriari, Ralf Klamma, Matthias Jarke:
Ranking and Cooperation in Real-World Complex Networks. - Maxine Eskénazi, Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao:
Beyond Turing: Intelligent Agents Centered on the User. - Qingkai Kong, Qin Lv, Richard M. Allen:
Earthquake Early Warning and Beyond: Systems Challenges in Smartphone-based Seismic Network. - Denny Wu, Hirofumi Kobayashi, Charles Ding, Cheng Lei, Keisuke Goda, Marzyeh Ghassemi:
Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders. - Venkat Anantharam, Varun S. Jog, Chandra Nair:
Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality. - Seyedeh Zahra Razavi, Lenhart K. Schubert, Benjamin Kane, Mohammad Rafayet Ali, Kimberly Van Orden, Tianyi Ma:
Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults. - Sandra Carrico:
Mixed Formal Learning: A Path to Transparent Machine Learning. - Ashish Dwivedi, Rajat Mittal, Nitin Saxena:
Efficiently factoring polynomials modulo p4. - Ni Ding
A Submodularity-based Agglomerative Clustering Algorithm for the Privacy Funnel. - Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang:
CommunityGAN: Community Detection with Generative Adversarial Nets. - Bin Li, Zesong Fei, Yan Zhang:
UAV Communications for 5G and Beyond: Recent Advances and Future Trends. - Xinwei Yue, Yuanwei Liu, Shaoli Kang, Arumugam Nallanathan, Yue Chen:
Modeling and Analysis of Two-Way Relay Non-Orthogonal Multiple Access Systems. - Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. - Shifeng Zhang, Rui Zhu, Xiaobo Wang, Hailin Shi, Tianyu Fu, Shuo Wang, Tao Mei, Stan Z. Li:
Improved Selective Refinement Network for Face Detection. - Andreas Galanis, Leslie Ann Goldberg, James Stewart:
A note on the high-fugacity hard-core model on bounded-degree bipartite expander graphs. - Uddeshya Upadhyay, Arjun Jain:
Removal of Batch Effects using Generative Adversarial Networks. - Michal Yemini, Andrea J. Goldsmith:
"Fog" Optimization via Virtual Cells in Cellular Network Resource Allocation. - Cong Gao, Mathias Unberath, Russell H. Taylor, Mehran Armand:
Localizing dexterous surgical tools in X-ray for image-based navigation. - Kurt Schneider, Melanie Busch, Oliver Karras, Maximilian Schrapel, Michael Rohs:
Refining Vision Videos. - Briane Paul Samson, Yasuyuki Sumi:
Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal Routes. - Jaya Prakash Champati, Mohammad H. Mamduhi, Karl Henrik Johansson, James Gross:
Performance Characterization Using AoI in a Single-loop Networked Control System. - Seyed Pooya Shariatpanahi, Jingjing Zhang, Osvaldo Simeone, Babak Hossein Khalaj, Mohammad Ali Maddah-Ali:
Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users. - Eder Leão Fernandes, Elisa Rojas, Joaquin Alvarez-Horcajo
The Road to BOFUSS: The Basic OpenFlow User-space Software Switch. - Mario Ullrich, Jan Vybíral:
Deterministic constructions of high-dimensional sets with small dispersion. - Ning Xie, Farley Lai, Derek Doran, Asim Kadav:
Visual Entailment: A Novel Task for Fine-Grained Image Understanding. - Grzegorz Pierczynski, Piotr Skowron:
Approval-Based Elections and Distortion of Voting Rules. - Suela Isaj, Torben Bach Pedersen:
Seed-Driven Geo-Social Data Extraction - Full Version. - Mathias Hauan Arbo, Esten Ingar Grøtli, Jan Tommy Gravdahl:
CASCLIK: CasADi-Based Closed-Loop Inverse Kinematics. - Jean F. Liénard:
Fitting 3D Shapes from Partial and Noisy Point Clouds with Evolutionary Computing. - Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat, Eitan Yaakobi:
Weakly-Private Information Retrieval. - Suhas S. Kowshik, Yury Polyanskiy:
Fundamental limits of many-user MAC with finite payloads and fading. - Alireza Shamsoshoara:
Ring Oscillator and its application as Physical Unclonable Function (PUF) for Password Management. - Ágnes Cseh, Tamás Fleiner, Petra Harján:
Pareto optimal coalitions of fixed size. - Serkan Saritas, Philippe Furrer, Sinan Gezici, Tamás Linder, Serdar Yüksel:
On the Number of Bins in Equilibria for Signaling Games. - Ilya Vorobyev:
A New Algorithm for Two-Stage Group Testing. - Nikita Polyanskii, Ilya Vorobyev:
Constructions of Batch Codes via Finite Geometry. - Saeed Karimi-Bidhendi, Jun Guo, Hamid Jafarkhani:
Using Quantization to Deploy Heterogeneous Nodes in Two-Tier Wireless Sensor Networks. - Aquib Mustafa, Hamidreza Modares:
Secure Event-Triggered Distributed Kalman Filters for State Estimation. - Gang Hu, K. C. S. Kwok:
Predicting wind pressures around circular cylinders using machine learning techniques. - Xinwei Yue, Zhijin Qin, Yuanwei Liu, Shaoli Kang, Yue Chen:
A Unified Framework for Non-Orthogonal Multiple Access. - Shan Lu, Wei Hou, Jun Cheng, Hiroshi Kamabe:
A construction of UD k-ary multi-user codes from (2m(k-1)+1)-ary codes for MAAC. - Shuguan Yang, Wei Ma, Xidong Pi, Sean Qian:
A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources. - Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa:
Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions. - Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva:
Iterative Refinement for 𝓁p-norm Regression. - Guoxian Song, Jianfei Cai, Tat-Jen Cham, Jianmin Zheng, Juyong Zhang, Henry Fuchs:
Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset. - Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu:
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators. - Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li:
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks. - Jack Collins, Ben Cottier, David Howard:
Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design. - Haofan Wang, Zhenghua Chen, Yi Zhou:
Hybrid coarse-fine classification for head pose estimation. - Yanxiang Gong, Linjie Deng, Zheng Ma, Mei Xie:
Generating Text Sequence Images for Recognition. - Yiru Wang, Weihao Gan, Wei Wu, Junjie Yan:
Dynamic Curriculum Learning for Imbalanced Data Classification. - Gayane Vardoyan, Saikat Guha, Philippe Nain, Don Towsley:
On the Capacity Region of Bipartite and Tripartite Entanglement Switching. - Mohsen Heidari, Touheed Anwar Atif
Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory. - Jing Hao, Varun S. Jog:
Dual Loomis-Whitney inequalities via information theory. - Sunder Ali Khowaja, Seok-Lyong Lee:
Semantic Image Networks for Human Action Recognition. - Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra:
Active Hypothesis Testing: Beyond Chernoff-Stein. - Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi:
Generating Textual Adversarial Examples for Deep Learning Models: A Survey. - Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann:
Exact Recovery for a Family of Community-Detection Generative Models. - Daniel Neider, Oliver Markgraf:
Learning-Based Synthesis of Safety Controllers. - Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders P. Eriksson:
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference. - Sumit Kumar, Wenhao Luo, George Kantor, Katia P. Sycara:
Active Learning with Gaussian Processes for High Throughput Phenotyping. - Mahesh Babu Vaddi, B. Sundar Rajan:
A Generalisation of Interlinked Cycle Structures and Their Index Coding Capacity. - Zhe Feng, Okke Schrijvers, Eric Sodomka:
Online Learning for Measuring Incentive Compatibility in Ad Auctions. - Burak Bartan, Mert Pilanci:
Polar Coded Distributed Matrix Multiplication. - Ludo Waltman, Kevin W. Boyack, Giovanni Colavizza, Nees Jan van Eck
A principled methodology for comparing relatedness measures for clustering publications. - Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen:
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss. - Matthias Függer, Thomas Nowak, Kyrill Winkler:
On the Radius of Nonsplit Graphs and Information Dissemination in Dynamic Networks. - Lisa Maria Kreusser
A Deterministic Approach to Avoid Saddle Points. - Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen:
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos. - Soumya Basu, David A. Easley, Maureen O'Hara, Emin Gün Sirer:
Towards a Functional Fee Market for Cryptocurrencies. - Mahmoud Salamati, Sadegh Soudjani, Rupak Majumdar:
Perception-in-the-Loop Adversarial Examples. - Yanzhen Ren, Dengkai Liu, Qiaochu Xiong, Jianming Fu, Lina Wang:
Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram. - Nathan Wasser, Dominic Steinhöfel:
Technical Report: Using Loop Scopes with for-Loops. - Andreas Lenz, Paul H. Siegel, Antonia Wachter-Zeh, Eitan Yaakobi:
Anchor-Based Correction of Substitutions in Indexed Sets. - Samin Aref
Signed Network Structural Analysis and Applications with a Focus on Balance Theory. - Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret, David Gesbert, Nicolas Gresset:
Achieving Vanishing Rate Loss in Decentralized Network MIMO. - Avanti Shrikumar, Anshul Kundaje
Calibration with Bias-Corrected Temperature Scaling Improves Domain Adaptation Under Label Shift in Modern Neural Networks. - Silviu Maniu, Pierre Senellart, Suraj Jog:
An Experimental Study of the Treewidth of Real-World Graph Data (Extended Version). - Carmen Sippel, Cornelia Ott, Sven Puchinger, Martin Bossert:
Reed-Solomon Codes over Fields of Characteristic Zero. - Kalevi Kilkki, Benjamin Finley:
In Search of Lost QoS. - Anne-Elisabeth Falq, Pierre Fouilhoux, Safia Kedad-Sidhoum:
Mixed integer formulations using natural variables for single machine scheduling around a common due date. - Fabio Calefato, Christof Ebert:
Agile Collaboration for Distributed Teams. - Sunoh Kim, Kimin Yun, Jongyoul Park, Jin Young Choi:
Skeleton-based Action Recognition of People Handling Objects. - Sinisa Tomovic, Zoran Ognjanovic, Dragan Doder:
A First-Order Logic for Reasoning about Knowledge and Probability. - Amit Samanta, Suhas Shrinivasan, Antoine Kaufmann, Jonathan Mace:
No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy. - Valerio Bioglio, Carlo Condo, Ingmar Land:
Construction and Decoding of Product Codes with Non-Systematic Polar Codes. - Michael Orr, Oliver Sinnen:
Optimal Task Scheduling Benefits From a Duplicate-Free State-Space. - Mikolaj Bojanczyk, Edon Kelmendi, Michal Skrzypczak:
MSO+nabla is undecidable. - Olivier Rioul, Ram Zamir:
Equality in the Matrix Entropy-Power Inequality and Blind Separation of Real and Complex sources. - Xinyu Yao, Nan Liu, Wei Kang:
The Capacity of Multi-round Private Information Retrieval from Byzantine Databases. - Xiangliang Kong, Jingxue Ma, Gennian Ge:
New Bounds on the Field Size for Maximally Recoverable Codes Instantiating Grid-like Topologies. - (Withdrawn) Turning Privacy Constraints into Syslog Analysis Advantage.
- Mikael Le Pendu, Christine Guillemot, Aljosa Smolic:
A Fourier Disparity Layer representation for Light Fields. - Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes. - Stefano Bodrato, Fabrizio Caruso, Giovanni A. Cignoni:
Discovering Eastern European PCs by hacking them. Today. - Eduardo Camps, Edgar Martínez-Moro, Eliseo Sarmiento:
Vardøhus Codes: Polar Codes Based on Castle Curves Kernels. - Debarghya China, Pabitra Mitra, Debdoot Sheet:
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. - Ilias Giechaskiel, Kasper Bonne Rasmussen:
SoK: Taxonomy and Challenges of Out-of-Band Signal Injection Attacks and Defenses. - Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Differential Privacy for Power Grid Obfuscation. - David Kaltenpoth, Jilles Vreeken:
We Are Not Your Real Parents: Telling Causal from Confounded using MDL. - Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides:
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. - István Ketykó
Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks. - Hongyang Gao, Yongjun Chen, Shuiwang Ji:
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations. - Enrico Paolini, Gianluigi Liva:
A Lower Bound on the Error Exponent of Linear Block Codes over the Erasure Channel. - Aleksandr Ometov, Vitaly Petrov, Sergey Bezzateev, Sergey Andreev, Yevgeni Koucheryavy, Mario Gerla:
Challenges of Multi-Factor Authentication for Securing Advanced IoT (A-IoT) Applications. - Quanshi Zhang, Yu Yang, Qian Yu, Ying Nian Wu:
Network Transplanting (extended abstract). - Vitaly Petrov, Gábor Fodor, Joonas Kokkoniemi, Dmitri Moltchanov, Janne Lehtomäki, Sergey Andreev, Yevgeni Koucheryavy, Markku J. Juntti, Mikko Valkama:
On Unified Vehicular Communications and Radar Sensing in Millimeter-Wave and Low Terahertz Bands. - Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren:
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. - Ovidiu Banias, Camil Octavian Milincu:
Hybrid Design Tools - Image Quality Assessment of a Digitally Augmented Blackboard Integrated System. - Ran Xin, Dusan Jakovetic, Usman A. Khan:
Distributed Nesterov gradient methods over arbitrary graphs. - James O'Neill, Danushka Bollegala
Error-Correcting Neural Sequence Prediction. - Junlang Zhan, Hai Zhao:
Chemical Names Standardization using Neural Sequence to Sequence Model. - Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji:
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. - Jayashree Thota, Adnan Aijaz:
On Performance Evaluation of Random Access Enhancements for 5G uRLLC. - Reazul Hasan Russel:
A Short Survey on Probabilistic Reinforcement Learning. - Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-based Image Classification. - Mohit Goyal, J. Harshan:
Achievable Rates of Attack Detection Strategies in Echo-Assisted Communication. - Nicholas Watters, Loïc Matthey, Christopher P. Burgess, Alexander Lerchner:
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs. - Michael Garvie, Phil Husbands:
Automatic Synthesis of Totally Self-Checking Circuits. - Christoph Becker, Fabian Fagerholm, Rahul Mohanani, Alexander Chatzigeorgiou:
Temporal Discounting in Technical Debt: How do Software Practitioners Discount the Future? - Lê Thành Dung Nguyên:
Constrained path-finding and structure from acyclicity. - Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. - Amariah Becker, Philip N. Klein, Aaron Schild:
A PTAS for Bounded-Capacity Vehicle Routing in Planar Graphs. - Alistair E. W. Johnson, Tom J. Pollard
MIMIC-CXR: A large publicly available database of labeled chest radiographs. - Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Michael Sirivianos:
Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube. - Xiang Zhang, Mingyue Ji:
A New Design Framework on Device-to-Device Coded Caching with Optimal Rate and Significantly Less Subpacketizations. - Xiaohong Deng, Yun Feng, Hassan Habibi Gharakheili
Estimating Residential Broadband Capacity using Big Data from M-Lab. - Varun S. Jog:
Teaching and learning in uncertainty. - Joy Arulraj, Ran Xian, Lin Ma, Andrew Pavlo:
Predictive Indexing. - (Withdrawn) On Compression of Unsupervised Neural Nets by Pruning Weak Connections.
- Solomiia Stepanivna Fedushko:
Development of verification system of socio-demographic data of virtual community member. - Bo Zhou, Walid Saad:
Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes. - Thomas Lively, William Long, Artidoro Pagnoni:
Analyzing Branch-and-Bound Algorithms for the Multiprocessor Scheduling Problem. - Solomiia Stepanivna Fedushko, Yu. R. Bekesh:
Positioning services of a travel agency in social networks. - Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang:
Robust Angular Local Descriptor Learning. - Yasser F. Al-Eryani, Ekram Hossain:
Delta-OMA (D-OMA): A New Method for Massive Multiple Access in 6G. - Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Robustness of Maximal α-Leakage to Side Information. - Ekram Hossain, Yasser F. Al-Eryani:
Large-Scale NOMA: Promises for Massive Machine-Type Communication. - Gregor Matl, Stanislav Zivný:
Beyond Boolean Surjective VCSPs. - Mahdi Belbasi, Martin Fürer:
A Space-efficient Parameterized Algorithm for the Hamiltonian Cycle Problem by Dynamic Algebraziation. - Mahesh Babu Vaddi, B. Sundar Rajan:
Reduced Complexity Index Codes and Improved Upperbound on Broadcast Rate for Neighboring Interference Problems. - Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi:
Linearized Multi-Sampling for Differentiable Image Transformation. - Marzio De Biasi:
The Power of One-State Turing Machines. - Xiang Kong, Bohan Li, Graham Neubig, Eduard H. Hovy, Yiming Yang:
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation. - Di Li, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Universal Rules for Fooling Deep Neural Networks based Text Classification. - Jae-Won Kim, Jong-Seon No:
Linear Index Coding With Multiple Senders and Extension to a Cellular Network. - Michele Tufano, Hitesh Sajnani, Kim Herzig:
Towards Predicting the Impact of Software Changes on Building Activities. - Matteo Cremonesi, Claudio Bellini, Bianny Bian, Luca Canali, Vasileios Dimakopoulos, Peter Elmer, Ian Fisk, Maria Girone, Oliver Gutsche, Siew-Yan Hoh, Bo Jayatilaka, Viktor Khristenko, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti:
Using Big Data Technologies for HEP Analysis. - Shadi Djavadian, Bilal Farooq, Rafael Vasquez, Grace Yip:
Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment. - Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. - Fan Meng, Peng Chen, Lenan Wu, Julian Cheng:
Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches. - Roberto Saltini:
Correctness Analysis of IBFT. - Shudi Yang, Xiangli Kong:
Complete weight enumerators of a class of linear codes with two or three weights. - Kentaro Fukamizu, Masaaki Kondo, Ryuichi Sakamoto:
Generation High resolution 3D model from natural language by Generative Adversarial Network. - Binghui Chen, Weihong Deng:
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering. - Petr Jancar, Sylvain Schmitz:
Bisimulation Equivalence of First-Order Grammars is ACKERMANN-Complete. - Ronald Salloum, C.-C. Jay Kuo:
Efficient Image Splicing Localization via Contrastive Feature Extraction. - Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel, Hong Xie:
Enhancing Semantic Word Representations by Embedding Deeper Word Relationships. - Glen Berseth, Christopher J. Pal:
Visual Imitation Learning with Recurrent Siamese Networks. - Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen, Yusuke Nojima, Tzong-Xiang Huang, Jinseok Woo, Naoyuki Kubota, Eri Sato-Shimokawara, Toru Yamaguchi:
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go. - Haimeng Zhao
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders. - Guangneng Hu, Yu Zhang, Qiang Yang:
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. - Joohyung Lee, Ji Eun Oh, Min Ju Kim, Bo Yun Hur, Sun Ah Cho, Dae Kyung Sohn:
Multi-Task Learning with a Fully Convolutional Network for Rectum and Rectal Cancer Segmentation. - Bing Lin, Fangning Zhu, Jianshan Zhang, Jiaqing Chen, Xing Chen, Neal N. Xiong, Jaime Lloret Mauri:
A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing. - Deepak K. Gupta, Rohit K. Shrivastava, Suhas Phadke, Jeroen Goudswaard:
Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach. - Rong Kang, Jieqi Shi, Xueming Li, Yang Liu, Xiao Liu:
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features. - Sneihil Gopal, Sanjit K. Kaul, Rakesh Chaturvedi:
Spectrum Sharing between DSRC and WiFi: A Repeated Game Approach. - Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn:
Convergence of the Non-Uniform Physarum Dynamics. - Thomas Schneider, Mingyang Li, Cesar Cadena, Juan I. Nieto, Roland Siegwart:
Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation. - Zeev Nutov:
A (4+ε)-approximation for k-connected subgraphs. - Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu:
RPC: A Large-Scale Retail Product Checkout Dataset. - Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick:
Perils of Zero-Interaction Security in the Internet of Things. - Yuman Li, Yiheng Wei, Yuquan Chen, Yong Wang:
A universal framework of GKYP lemma for singular fractional order systems. - Xiangxiang Chu, Bo Zhang
Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search. - Xiao Shen, Fu-Lai Chung:
Network Embedding for Cross-network Node Classification. - Jan Rüth, Torsten Zimmermann, Oliver Hohlfeld:
Hidden Treasures - Recycling Large-Scale Internet Measurements to Study the Internet's Control Plane. - Kai Olav Ellefsen, Herman Augusto Lepikson, Jan C. Albiez:
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. - Ijaz Akhter, Cheong Loong Fah, Richard Hartley:
Super-Trajectories: A Compact Yet Rich Video Representation. - Gaël Écorchard, Adam Heinrich, Libor Preucil:
Ego-motion Sensor for Unmanned Aerial Vehicles Based on a Single-Board Computer. - Hussain Al-Aqrabi, Richard Hill, Phil Lane, Hamza Aagela:
Securing Manufacturing Intelligence for the Industrial Internet of Things. - Veljko Pejovic, Ivan Majhen, Miha Janez, Blaz Zupan:
RICERCANDO: Data Mining Toolkit for Mobile Broadband Measurements. - Mingyang Geng, SuNing Shang, Bo Ding, Huaimin Wang, Pengfei Zhang, Lei Zhang:
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach. - Peter Burger, Soeradj Kanhai, Alexander Pleijter, Suzan Verberne:
The reach of commercially motivated junk news on Facebook. - Guillaume Lample, Alexis Conneau:
Cross-lingual Language Model Pretraining. - Nils Meyer, Peter Georg, Dirk Pleiter, Stefan Solbrig, Tilo Wettig:
SVE-enabling Lattice QCD Codes. - Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. - Evgeny Marshakov, Gleb Balitskiy, Kirill V. Andreev, Alexey A. Frolov:
Design and Decoding of Polar Codes for the Gaussian Multiple Access Channel. - Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah Awwad, Muhammad Shafique:
SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection. - Ananay Arora:
Preventing wireless deauthentication attacks over 802.11 Networks. - Pietro Ferraro, Christopher K. King, Robert Shorten:
IOTA-based Directed Acyclic Graphs without Orphans. - Shiwen He, Yongpeng Wu, Ju Ren, Yongming Huang, Robert Schober, Yaoxue Zhang:
Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks. - Jie Xu, Wei Ding, Xiaoyan Hu:
Most memory efficient distributed super points detection on core networks. - Hervé Suaudeau:
Contribution of Herv{é} Suaudeau for the mission of the French Senate Law Commission on electronic voting on 25 January 2018. - Inayat Ali, Sonia Sabir, Zahid Ullah:
Internet of Things Security, Device Authentication and Access Control: A Review. - Marmar Orooji, Gerald M. Knapp:
A Novel Microdata Privacy Disclosure Risk Measure. - Swapna Vemparala, Fabio Di Troia, Corrado Aaron Visaggio, Thomas H. Austin, Mark Stamp:
Malware Detection Using Dynamic Birthmarks. - Vicki M. Bier, Alexander Gutfraind:
Risk analysis beyond vulnerability and resilience - characterizing the defensibility of critical systems. - Guanglin Xu, Alexander Semenov, Maciej Rysz:
An Integer Programming Formulation of the Key Management Problem in Wireless Sensor Networks. - Abdelmonim Naway, Yuancheng Li:
Android Malware Detection Using Autoencoder. - Bo Bai, Wanyi Li, Li Wang, Gong Zhang:
Coded Caching in Fog-RAN: b-Matching Approach. - William Beasley, Brenda Gatusch, Daniel Connolly-Taylor, Chenyuan Teng, Asier Marzo, José L. Núñez-Yáñez:
High-Performance Ultrasonic Levitation with FPGA-based Phased Arrays. - Franziska Horn, Robert Pack, Michael Rieger:
The autofeat Python Library for Automatic Feature Engineering and Selection. - Jun Hao:
Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning. - Matthew Thornton, Jithendar Anumula, Shih-Chii Liu:
Reducing state updates via Gaussian-gated LSTMs. - Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor:
Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top-K Workloads. - Lutz Bornmann, Alexander Tekles, Loet Leydesdorff:
The convergent validity of several (field-normalized) bibliometric indicators: How well does I3 perform for impact measurement? - Robin Haunschild, Werner Marx:
Discovering seminal works with marker papers. - Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw:
Optical Flow augmented Semantic Segmentation networks for Automated Driving. - Roger White, Wolfgang Banzhaf:
Putting Natural Time into Science. - Ivona Bezáková, Antonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda:
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models. - Jakub Hvezda, Miroslav Kulich, Libor Preucil:
Improved Discrete RRT for Coordinated Multi-robot Planning. - James Hahn, Adriana Kovashka:
Measuring Effectiveness of Video Advertisements. - Yunfeng Lin, Jiangbei Li, Hanjing Wang:
DCNN-GAN: Reconstructing Realistic Image from fMRI. - Azhar Hussain
SAML-QC: a Stochastic Assessment and Machine Learning based QC technique for Industrial Printing. - Jay Hoon Jung, Yousun Shin, YoungMin Kwon:
Extension of Convolutional Neural Network with General Image Processing Kernels. - Yu Kawano, Ming Cao:
Design of Differentially Private Dynamic Controllers. - Asifullah Khan, Aqsa Saeed Qureshi, Noorul Wahab, Mutawarra Hussain, Muhammad Yousaf Hamza:
A Recent Survey on the Applications of Genetic Programming in Image Processing. - Otmane Azeroual, Mohammad Abuosba:
Improving the data quality in the research information systems. - Estefanía Pereyra, Gastón Araguás, Miroslav Kulich:
Path Planning for a Formation of Mobile Robots with Split and Merge. - Quynh Nguyen:
On Connected Sublevel Sets in Deep Learning. - Konstantinos Konstantinidis, Aditya Ramamoorthy:
CAMR: Coded Aggregated MapReduce. - Richard McKinley, Rik Wepfer, Fabian Aschwanden, Lorenz Grunder, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest:
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. - Jakub Hvezda, Tomás Rybecký, Miroslav Kulich, Libor Preucil:
Context-Aware Route Planning for Automated Warehouses. - Miroslav Kulich, Viktor Kozák, Libor Preucil:
An Integrated Approach to Autonomous Environment Modeling. - Krzysztof Wolk, Emilia Zawadzka-Gosk, Wojciech Czarnowski:
Deep learning and sub-word-unit approach in written art generation. - Paul Sauer:
The Complexity of Unavoidable Word Patterns. - Miroslav Kulich, Libor Preucil, Juan José Miranda Bront:
On multi-robot search for a stationary object. - Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo:
Multiple Graph Adversarial Learning. - Hideaki Hata, Christoph Treude, Raula Gaikovina Kula, Takashi Ishio:
9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay. - Koji Takeda, Kanji Tanaka:
Use of First and Third Person Views for Deep Intersection Classification. - Yong Tan:
Solve For Shortest Paths Problem Within Logarithm Runtime. - Nilavra Pathak, James R. Foulds, Nirmalya Roy, Nilanjan Banerjee, Ryan W. Robucci:
Estimating Buildings' Parameters over Time Including Prior Knowledge. - Xiao Wang, Shaofei Zheng, Rui Yang, Bin Luo, Jin Tang:
Pedestrian Attribute Recognition: A Survey. - Alexandre Kabbach:
Debugging Frame Semantic Role Labeling. - Emirhan Gürpinar, Andrei E. Romashchenko:
How to Use Undiscovered Information Inequalities: Direct Applications of the Copy Lemma. - Isaac J. Sledge, José C. Príncipe:
An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
A New Design of Private Information Retrieval for Storage Constrained Databases. - Jiaxiao Zheng, Gustavo de Veciana:
Elastic Multi-resource Network Slicing: Can Protection Lead to Improved Performance? - B. R. Vinay Kumar, Navin Kashyap:
Probabilistic Forwarding of Coded Packets on Networks. - Bhargav Gokalgandhi, Christina Segerholm, Nilanjan Paul, Ivan Seskar:
Accelerating Channel Estimation and Demodulation of Uplink OFDM symbols for Large Scale Antenna Systems using GPU. - Clemens Müllner, Andrew Ryzhikov:
Palindromic Subsequences in Finite Words. - Oscar Defrain, Lhouari Nourine:
Dualization in lattices given by implicational bases. - Daniel Bradford Miller, Jacob Gatlin, William Bradley Glisson, Mark Yampolskiy, Jeffrey Todd McDonald:
Investigating 3D Printer Residual Data. - Anoosheh Heidarzadeh, Swanand Kadhe, Salim Y. El Rouayheb, Alex Sprintson:
Single-Server Multi-Message Individually-Private Information Retrieval with Side Information. - J. Fernando Hernandez-Garcia, Richard S. Sutton:
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target. - Joonho Lee, Jemin Hwangbo, Marco Hutter:
Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning. - Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin:
Hybrid Task Cascade for Instance Segmentation. - Ali Baheri, Chris Vermillion:
Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study. - Daniele Pepe, Gianni Bianchini, Antonio Vicino:
Model Estimation for Solar Generation Forecasting using Cloud Cover Data. - Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain:
Learning Continuous Face Age Progression: A Pyramid of GANs. - Ferdinando Cicalese, Luisa Gargano, Ugo Vaccaro:
Minimum-Entropy Couplings and their Applications. - Sebastian Trimpe, Dominik Baumann:
Resource-aware IoT Control: Saving Communication through Predictive Triggering. - Quanshi Zhang, Yu Yang, Ying Nian Wu:
Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract). - Yifu Zhang, Jorge Cortés:
Model predictive control for transient frequency regulation of power networks. - Himan Abdollahpouri, Robin Burke, Bamshad Mobasher:
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking. - Salah Uddin Ahmed, Steinar Aasnass, Fisnik Dalipi
Analytics-Driven Digital Platform for Regional Growth and Development: A Case Study from Norway. - Ali Tehrani-Saleh, Christoph Adami:
Can Transfer Entropy Infer Causality in Neuronal Circuits for Cognitive Processing? - Salman H. Khan, Munawar Hayat, Waqas Zamir, Jianbing Shen, Ling Shao:
Striking the Right Balance with Uncertainty. - Mengke Lian, Christian Häger, Henry D. Pfister:
What Can Machine Learning Teach Us about Communications? - Anna Breger, José Ignacio Orlando, Pavol Harár
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. - Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William R. Hersh, Hongfang Liu:
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model. - Martin H. Radfar, Richard M. Dansereau, Willy Wong:
Speech Separation Using Gain-Adapted Factorial Hidden Markov Models. - Dekel Tsur:
Faster parameterized algorithm for Cluster Vertex Deletion. - Eric Steinberger:
Single Deep Counterfactual Regret Minimization. - Thang X. Vu, Symeon Chatzinotas, Björn E. Ottersten:
Blockchain-based Content Delivery Networks: Content Transparency Meets User Privacy. - José E. R. Cury, Pedro T. Monteiro
Partial Order on the set of Boolean Regulatory Functions. - Darshana Balakrishnan, Lukasz Ziarek, Oliver Kennedy:
Just-in-Time Index Compilation. - (Withdrawn) DTN: A Learning Rate Scheme with Convergence Rate of O(1/t) for SGD.
- Esmaeil Karimi, Fatemeh Kazemi, Anoosheh Heidarzadeh, Krishna R. Narayanan, Alex Sprintson:
Sparse Graph Codes for Non-adaptive Quantitative Group Testing. - Borzou Alipourfard, Jean X. Gao:
Solving All Regression Models For Learning Gaussian Networks Using Givens Rotations. - Sumit Kumar, Sushman Choudhary, Siddhartha S. Srinivasa:
Estimating Configuration Space Belief from Collision Checks for Motion Planning. - Jong Chul Ye, Woon Kyoung Sung:
Understanding Geometry of Encoder-Decoder CNNs. - Jaume del Olmo Alos, Javier R. Fonollosa:
Polar Coding for Common Message Only Wiretap Broadcast Channel. - (Withdrawn) Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings.
- Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Database De-anonymization. - Sunipa Dev, Jeff M. Phillips:
Attenuating Bias in Word Vectors. - Elijah Pelofske, Georg Hahn
Solving large Maximum Clique problems on a quantum annealer. - Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes:
Robust Photogeometric Localization over Time for Map-Centric Loop Closure. - Alix Lhéritier, Frédéric Cazals:
kd-switch: A Universal Online Predictor with an application to Sequential Two-Sample Testing. - James Parker, Niki Vazou, Michael Hicks:
LWeb: Information Flow Security for Multi-tier Web Applications. - Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic:
Composition and decomposition of GANs. - Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji:
Cascaded Coded Distributed Computing on Heterogeneous Networks. - M.-H. Herman Shen, Liang Chen:
A New CGAN Technique for Constrained Topology Design Optimization. - Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier:
Modeling Human Motion with Quaternion-based Neural Networks. - Guanghan Ning, Ping Liu, Xiaochuan Fan, Chi Zhang:
A Top-down Approach to Articulated Human Pose Estimation and Tracking. - Fanman Meng, Kaixu Huang, Hongliang Li, Qingbo Wu:
Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion. - Jianjun Yuan, Andrew G. Lamperski:
Online Adaptive Principal Component Analysis and Its extensions. - Hongyu Gong, Yuchen Li, Suma Bhat, Pramod Viswanath:
Context-Sensitive Malicious Spelling Error Correction. - Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship. - Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Casey Dugan:
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment. - Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. - Fahad Islam, Oren Salzman, Maxim Likhachev:
Provable Infinite-Horizon Real-Time Planning for Repetitive Tasks. - Muhammad Ikram, Rahat Masood, Gareth Tyson, Mohamed Ali Kâafar, Noha Loizon, Roya Ensafi:
The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading. - Daniel Link, Pooyan Behnamghader, Ramin Moazeni, Barry W. Boehm:
The Value of Software Architecture Recovery for Maintenance. - Ahmed Taha, Yi-Ting Chen, Xitong Yang, Teruhisa Misu, Larry Davis:
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems. - Malihe Aliasgari, Osvaldo Simeone, Jörg Kliewer:
Distributed and Private Coded Matrix Computation with Flexible Communication Load. - Shaojie Tang:
Submodular Maximization under Fading Model: Building Online Quizzes for Better Customer Segmentation. - Munawar Hayat, Salman H. Khan, Waqas Zamir, Jianbing Shen, Ling Shao:
Max-margin Class Imbalanced Learning with Gaussian Affinity. - Li Li, Minjie Fan, Rishabh Singh, Patrick Riley:
Neural-Guided Symbolic Regression with Semantic Prior. - Huansong Fu, Yue Zhu, Amit Kumar Nath, Md. Muhib Khan, Weikuan Yu:
Enhancing MapReduce Fault Recovery Through Binocular Speculation. - Edward Paxon Frady, Friedrich T. Sommer:
Robust computation with rhythmic spike patterns. - Shahram Shahsavari, Farhad Shirani, Elza Erkip:
On the Fundamental Limits of Multi-user Scheduling under Short-term Fairness Constraints. - Lizhao Li, Song Xiao:
Joint group and residual sparse coding for image compressive sensing. - Aria HasanzadeZonuzy, I-Hong Hou, Srinivas Shakkottai:
Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks. - E. Paul Ratazzi, Ashok Bommisetti, Nian Ji, Wenliang Du:
PINPOINT: Efficient and Effective Resource Isolation for Mobile Security and Privacy. - Shucai Li, Bin Liu, Yuxiao Ren, Yangkang Chen, Senlin Yang, Yunhai Wang, Peng Jiang:
Deep learning Inversion of Seismic Data. - Yunjuan Wang, Theja Tulabandhula:
Thompson Sampling for a Fatigue-aware Online Recommendation System. - Jiawei Liu, Yang Xu, Lingzhe Zhao:
Automated Essay Scoring based on Two-Stage Learning. - Xuguang Ren, Junhu Wang, Wook-Shin Han, Jeffrey Xu Yu:
Fast and Robust Distributed Subgraph Enumeration. - Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, Alex Sprintson:
Single-Server Single-Message Online Private Information Retrieval with Side Information. - Rui Wang, Celalettin Umit Bas, Zihang Cheng, Thomas Choi, Hao Feng, Zheda Li, Xiaokang Ye, Pan Tang, Seun Sangodoyin, Jorge G. Ponce, Robert Monroe, Thomas Henige, Gary Xu, Jianzhong Zhang, Jeongho Park, Andreas F. Molisch:
Enable Super-resolution Parameter Estimation for Mm-wave Channel Sounding. - Nader H. Bshouty, Catherine A. Haddad-Zaknoon:
Adaptive Exact Learning of Decision Trees from Membership Queries. - Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini:
Deep Clustering with a Dynamic Autoencoder. - Yu Shu, Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian:
ODN: Opening the Deep Network for Open-set Action Recognition. - Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. - Yiquan Zhang, Airong Chen, Bo Peng, Xiaoyi Zhou, Dalei Wang:
A deep Convolutional Neural Network for topology optimization with strong generalization ability. - Wei Peng, Xiaopeng Hong, Yingyue Xu, Guoying Zhao:
A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework. - Yu Ji, Zixin Liu, Xing Hu, Peiqi Wang, Youhui Zhang:
Programmable Neural Network Trojan for Pre-Trained Feature Extractor. - Anuja Meetoo Appavoo, Seth Gilbert, Kian-Lee Tan:
Cooperation Speeds Surfing: Use Co-Bandit! - Ling Cheng, Hendrik C. Ferreira:
Bit Flipping Moment Balancing Schemes for Insertion, Deletion and Substitution Error Correction. - Huu Hiep Nguyen:
Boosting Frequent Itemset Mining via Early Stopping Intersections. - Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh:
Self-Attentive Model for Headline Generation. - Qifa Yan, Michèle A. Wigger, Sheng Yang, Xiaohu Tang:
A Fundamental Storage-Communication Tradeoff in Distributed Computing with Straggling Nodes. - Gyu-Jeong Park, Song-Nam Hong:
Construction of One-Bit Transmit-Signal Vectors for Downlink MU-MISO Systems with PSK Signaling. - Jing Bai, Yongchao Wang, Francis C. M. Lau:
Minimum-Polytope-Based Linear Programming Decoder for LDPC Codes via ADMM Approach. - Nikos Fotiou, Vasilios A. Siris, George C. Polyzos:
Interacting with the Internet of Things using Smart Contracts and Blockchain Technologies. - Uriel Feige:
A randomized strategy in the mirror game. - Rahul Tallamraju, Eric Price, Roman Ludwig, Kamalakar Karlapalem, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad:
Active Perception based Formation Control for Multiple Aerial Vehicles. - Pierre Hyvernat:
The Size-Change Principle for Mixed Inductive and Coinductive types. - Yochai Blau, Tomer Michaeli:
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff. - Ilianna Kollia, Andreas-Georgios Stafylopatis, Stefanos D. Kollias:
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks. - Hari Hara Suthan C, Bhavana M, Prasad Krishnan:
Coded Caching via Projective Geometry: A new low subpacketization scheme. - Alberto Sonnino, Michal Król
AStERISK: Auction-based Shared Economy ResolutIon System for blocKchain. - Albert Atserias, Anuj Dawar, Joanna Ochremiak:
On the Power of Symmetric Linear Programs. - Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. - Byeongkeun Kang, Truong Q. Nguyen:
Random Forest with Learned Representations for Semantic Segmentation. - Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev:
AspeRa: Aspect-based Rating Prediction Model. - Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen:
Toward Joint Image Generation and Compression using Generative Adversarial Networks. - Valery N. Gorbachev, L. A. Denisov, E. M. Kaynarova, I. K. Metelev, E. S. Yakovleva:
On basis images for the digital image representation. - (Withdrawn) SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems.
- Wei Li, Chengwei Pan, Rong Zhang, Jiaping Ren, Yuexin Ma, Jin Fang, Feilong Yan, Qichuan Geng, Xinyu Huang
AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms. - Kewei Huang, Mengke Qiao, Xuanqi Liu, Mingxi Dai, Siyuan Liu:
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test. - Manolis C. Tsakiris, Liangzu Peng:
Homomorphic Sensing. - Thakur Neupane, Zhen Zhang, Curtis Madsen, Hao Zheng, Chris J. Myers:
Approximation Techniques for Stochastic Analysis of Biological Systems. - Bo Liu, Wenhao Chi, Xinran Li, Peng Li, Wenhua Liang, Haiping Liu, Wei Wang, Jianxing He:
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect. - Kai Olav Ellefsen, Charles Patrick Martin, Jim Tørresen:
How do Mixture Density RNNs Predict the Future? - Shirli Di-Castro Shashua, Shie Mannor:
Trust Region Value Optimization using Kalman Filtering. - Deyu Tian:
DroidMeter: A Measurement Tool to Study Embedded Web Pages. - Lijun Sun, Chao Lyu, Yuhui Shi:
Cooperative coevolution of real predator robots and virtual robots in the pursuit domain. - Mohd Zeeshan Ansari, Lubna Khan:
Context based Analysis of Lexical Semantics for Hindi Language. - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Constant Time Graph Neural Networks. - Patrick Spettel, Hans-Georg Beyer:
Analysis of the (μ/μI, λ)-CSA-ES with Repair by Projection Applied to a Conically Constrained Problem. - Kyriaki Kalimeri, Mariano G. Beiró, Andrea Bonanomi, Alessandro Rosina, Ciro Cattuto:
Evaluation of Biases in Self-reported Demographic and Psychometric Information: Traditional versus Facebook-based Surveys. - Christian Otto, Sebastian Holzki, Ralph Ewerth:
"Is this an example image?" - Predicting the Relative Abstractness Level of Image and Text. - Wencong Jiang, Lina Chen, Kaiyuan Zhou, Liyuan Li, Qingwei Fu, Youwei Du, Ronghua Liu:
Physical reservoir computing built by spintronic devices for temporal information processing. - Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li
Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning. - Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka:
Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks. - Weijun Zhu, Mingliang Xu:
Predicting the Results of LTL Model Checking using Multiple Machine Learning Algorithms. - Sourour Elloumi
Solving unconstrained 0-1 polynomial programs through quadratic convex reformulation. - Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara:
Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach. - Zeren Tan:
How Many Passengers Can We Serve with Ride-sharing? - Oscar J. Romero, Ankit Dangi
NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings. - Jan Kristof Behrens, Ralph Lange, Masoumeh Mansouri:
A Constraint Programming Approach to Simultaneous Task Allocation and Motion Scheduling for Industrial Dual-Arm Manipulation Tasks. - Dimitra Liotsiou
The Junk News Aggregator: Examining junk news posted on Facebook, starting with the 2018 US Midterm Elections. - (Withdrawn) Online Learning with Diverse User Preferences.
- Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao:
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features. - Sara Mandelli, Vincenzo Lipari, Paolo Bestagini, Stefano Tubaro:
Interpolation and Denoising of Seismic Data using Convolutional Neural Networks. - Hung Nguyen, Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh:
Approximate k-Cover in Hypergraphs: Efficient Algorithms, and Applications. - José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth:
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. - Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge. - (Withdrawn) Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information.
- Julia Chuzhoy, Zihan Tan:
Towards Tight(er) Bounds for the Excluded Grid Theorem. - Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia:
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey. - He Zhang, Xingrui Yu, Peng Ren, Chunbo Luo, Geyong Min:
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework. - Gaurav Misra, Tianyu Gao, Xiaoli Bai:
Modeling and Simulation of UAV Carrier Landings. - Dong Wang, Bo Bai, Wenbo Zhao, Zhu Han:
A Survey of Optimization Approaches for Wireless Physical Layer Security. - Yann Soullard, Cyprien Ruffino, Thierry Paquet:
CTCModel: a Keras Model for Connectionist Temporal Classification. - Miguel A. Rodriguez, Christoph M. Augustin, Shawn C. Shadden:
FEniCS Mechanics: A Package for Continuum Mechanics Simulations. - Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo:
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images. - Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates, Marco Gori, Luís C. Lamb:
Typed Graph Networks. - Maksim Tsikhanovich, Malik Magdon-Ismail, Muhammad Ishaq, Vassilis Zikas:
PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography. - Ayan Chakrabarti, Benjamin Moseley:
Backprop with Approximate Activations for Memory-efficient Network Training. - Amandeep Singh Bhatia
Quantum finite automata: survey, status and research directions. - Anton G. Artemov, Elias Rudberg, Emanuel H. Rubensson:
Parallelization and scalability analysis of inverse factorization using the Chunks and Tasks programming model. - Marc Miquel-Ribé, David Laniado:
Wikipedia Cultural Diversity Dataset: A Complete Cartography for 300 Language Editions. - Jonathan Schwartz, Yi Jiang, Yongjie Wang, Anthony Aiello, Pallab K. Bhattacharya, Hui Yuan, Zetian Mi, Nabil Bassim, Robert Hovden:
Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing. - Zhijian Zhang, Haozheng Li, Luo Zhang, Tianyin Zheng, Ting Zhang, Xiong Hao, Xiaoxin Chen, Min Chen, Fangxu Xiao, Wei Zhou:
Hierarchical Reinforcement Learning for Multi-agent MOBA Game. - Juliana Franco, Alexandros Tasos, Sophia Drossopoulou, Tobias Wrigstad, Susan Eisenbach:
Safely Abstracting Memory Layouts. - Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost:
Unique Information and Secret Key Decompositions. - Fei Qi, Zhaohui Xia, Gaoyang Tang, Hang Yang, Yu Song, Guangrui Qian, Xiong An, Chunhuan Lin, Guangming Shi:
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning. - Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh:
Sentiment and Sarcasm Classification with Multitask Learning. - Tiancheng Li, Hongqi Fan, Jesús García Herrero, Juan M. Corchado:
Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion. - Vincenzo Crescimanna, Bruce Graham:
An information theoretic approach to the autoencoder. - Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Robust temporal difference learning for critical domains. - Dipjyoti Paul, Md. Sahidullah, Goutam Saha:
Generalization of Spoofing Countermeasures: a Case Study with ASVspoof 2015 and BTAS 2016 Corpora. - Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla:
Learning to Collaborate in Markov Decision Processes. - Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl:
Bottom-up Object Detection by Grouping Extreme and Center Points. - Asma Ben Abacha, Dina Demner-Fushman:
A Question-Entailment Approach to Question Answering. - Nicolò Cesa-Bianchi, Tommaso Renato Cesari
Cooperative Online Learning: Keeping your Neighbors Updated. - Katarzyna Kapusta, Gérard Memmi
Circular All-Or-Nothing: Revisiting Data Protection Against Key Exposure. - Federico Fulgeri, Matteo Fabbri, Stefano Alletto, Simone Calderara, Rita Cucchiara:
Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect? - Donghyun Kim, Steven Jens Jorgensen, Jaemin Lee, Junhyeok Ahn
Dynamic Locomotion For Passive-Ankle Biped Robots And Humanoids Using Whole-Body Locomotion Control. - Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara:
Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. - David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel:
Open-ended Learning in Symmetric Zero-sum Games. - Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orçun Göksel:
Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences. - Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN. - Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert D. Mullins, Ross Anderson, Cheng-Zhong Xu:
Sitatapatra: Blocking the Transfer of Adversarial Samples. - Alvaro E. Ulloa Cerna
Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records. - Sam Green, Craig M. Vineyard, Çetin Kaya Koç:
Distillation Strategies for Proximal Policy Optimization. - Diego Pérez-Liébana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, André Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita:
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition. - Kieran Conboy, Noel Carroll:
Implementing Large-Scale Agile Frameworks: Challenges and Recommendations. - Thomas Wolf, Victor Sanh, Julien Chaumond, Clement Delangue:
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents. - Song Bai, Feihu Zhang, Philip H. S. Torr:
Hypergraph Convolution and Hypergraph Attention. - Hussain Al-Aqrabi, Lu Liu, Richard Hill, Nick Antonopoulos:
Cloud BI: Future of Business Intelligence in the Cloud. - Joo Hong Lee, Dongyoung Sohn, Yong Suk Choi:
A Tool for Spatio-Temporal Analysis of Social Anxiety with Twitter Data. - Amr Sharaf, Hal Daumé III:
Meta-Learning for Contextual Bandit Exploration. - Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew M. Botvinick, Zeb Kurth-Nelson:
Causal Reasoning from Meta-reinforcement Learning. - Joohong Lee, Sangwoo Seo, Yong Suk Choi:
Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing. - Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon:
Decoupled Greedy Learning of CNNs. - Sinong Wang, Jiashang Liu, Ness B. Shroff:
Fundamental Limits of Approximate Gradient Coding. - Daniel Kunin, Jonathan M. Bloom, Aleksandrina Goeva, Cotton Seed:
Loss Landscapes of Regularized Linear Autoencoders. - Anis Koubaa:
Service-Oriented Software Architecture for Cloud Robotics. - Matthew Amodio, Smita Krishnaswamy:
Generating and Aligning from Data Geometries with Generative Adversarial Networks. - Khashayar Asadi, Rahul Jain, Ziqian Qin, Mingda Sun, Mojtaba Noghabaei, Jeremy Cole, Kevin K. Han, Edgar J. Lobaton:
Vision-based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm. - Ugo Rosolia, Francesco Borrelli:
Learning How to Autonomously Race a Car: a Predictive Control Approach. - Hanwen Yao, Arman Fazeli, Alexander Vardy:
Explicit Polar Codes with Small Scaling Exponent. - John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia:
Correcting rural building annotations in OpenStreetMap using convolutional neural networks. - Meng Wang, Wei Chen, Anthony Ephremides:
Real-Time Reconstruction of Counting Process through Queues. - Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. - William Caicedo-Torres, Jairo A. Gutiérrez:
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU. - Sungkyun Chang, Seungjin Lee, Kyogu Lee:
Sequential Skip Prediction with Few-shot in Streamed Music Contents. - Weibo Huang, Peng Wei:
A PCB Dataset for Defects Detection and Classification. - Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. - Manan Oza, Himanshu Vaghela, Sudhir Bagul:
Semi-Supervised Image-to-Image Translation. - Himanshu Vaghela, Manan Oza, Sudhir Bagul:
MREAK : Morphological Retina Keypoint Descriptor. - Jiaqi Zhang, Keyou You:
Asynchronous Decentralized Optimization in Directed Networks. - Hu Ding
Greedy Strategy Works for Clustering with Outliers and Coresets Construction. - Ajit Narayanan:
When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)? - Seung-Hwan Bae:
Object Detection based on Region Decomposition and Assembly. - Jianqiao Wangni, Ke Li, Jianbo Shi, Jitendra Malik:
Trajectory Normalized Gradients for Distributed Optimization. - Tingran Gao, Zhizhen Zhao:
Multi-Frequency Phase Synchronization. - Shilei Fu, Feng Xu, Ya-Qiu Jin:
Reciprocal Translation between SAR and Optical Remote Sensing Images with Cascaded-Residual Adversarial Networks. - Liu Liu, Tianyang Li, Constantine Caramanis:
High Dimensional Robust Estimation of Sparse Models via Trimmed Hard Thresholding. - Zhimin Chen, Darius Parvin, Maedbh King, Susan Hao:
Visualizing Topographic Independent Component Analysis with Movies. - Abhinav Kumar, Jyoti Prakash Singh:
Location reference identification from tweets during emergencies: A deep learning approach. - Taewon Kang, Kwang Hee Lee:
Unsupervised Image-to-Image Translation with Self-Attention Networks. - Vardan Papyan:
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians. - Sumit Adak, Sukanya Mukherjee, Sukanta Das:
Reachability Problem in Non-uniform Cellular Automata. - Shen Zhang
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics - A Comprehensive Review. - Alin Deutsch, Yu Xu, Mingxi Wu, Victor E. Lee:
TigerGraph: A Native MPP Graph Database. - Jie Li, Xiaohu Tang:
A Systematic Construction of MDS Codes with Small Sub-packetization Level and Near Optimal Repair Bandwidth. - Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar:
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. - Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large-Batch Training for LSTM and Beyond. - Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-up Query Analysis. - Peiqi Wang, Dongsheng Wang, Yu Ji, Xinfeng Xie, Haoxuan Song, XuXin Liu, Yongqiang Lyu, Yuan Xie:
QGAN: Quantized Generative Adversarial Networks. - Yong Niu, Han Shi, Yong Li, Ruisi He, Zhangdui Zhong:
Coalition Formation Games Based Sub-Channel Allocation for Device-to-Device Underlay mmWave Small Cells. - Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng:
A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation. - Charles H. Martin, Michael W. Mahoney:
Traditional and Heavy-Tailed Self Regularization in Neural Network Models. - Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin:
Federated Reinforcement Learning. - Charles H. Martin, Michael W. Mahoney:
Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. - Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data. - Yuan Zhang, Dong Wang, Yan Zhang:
Neural IR Meets Graph Embedding: A Ranking Model for Product Search. - Camille Gobert, Kashyap Todi, Gilles Bailly, Antti Oulasvirta:
SAM: A Modular Framework for Self-Adapting Web Menus. - Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy:
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey. - Martin Simonovsky:
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back. - Rui Liu, Jun Yuan:
Benchmark Time Series Database with IoTDB-Benchmark for IoT Scenarios. - Aleksandar Nesic
Hybrid 2D/3D photonic integration for non-planar circuit topologies. - Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby:
Whole slide image registration for the study of tumor heterogeneity. - Maurizio Naldi:
A review of sentiment computation methods with R packages. - Quentin Roy, Yves Guiard, Gilles Bailly
Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch Screens. - Mohamed Lamine Lamali, Simon Lassourreuille, Stephan Kunne, Johanne Cohen:
A stack-vector routing protocol for automatic tunneling. - Yuanwei Liu, Suzhi Bi, Zhiyuan Shi, Lajos Hanzo:
When Machine Learning Meets Big Data: A Wireless Communication Perspective. - Muhammad Junaid Farooq, Quanyan Zhu:
Dynamic Spatio-Temporal Resource Provisioning for On-Demand Urban Services in Smart Cities. - Radoslav Skoviera, Karla Stépánová, Michael Tesar, Gabriela Sejnova, Jirí Sedlár, Michal Vavrecka, Robert Babuska, Josef Sivic:
Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges? - Gernot Heiser, Gerwin Klein, Toby C. Murray:
Can We Prove Time Protection? - Zakaria Laskar, Juho Kannala:
Semi-Supervised Semantic Matching. - Zakaria Laskar, Hamed R. Tavakoli, Juho Kannala:
Semantic Matching by Weakly Supervised 2D Point Set Registration. - Md Rushdie Ibne Islam, Chong Peng:
A Total Lagrangian SPH Method for Modelling Damage and Failure in Solids. - Amna Shifa, Mamoona Naveed Asghar, Naila Batool, Martin Fleury:
Efficient Lightweight Encryption Algorithm for Smart Video Applications. - Zhongxing Sun, Wei Cui, Yulong Liu:
Recovery of Structured Signals From Corrupted Non-Linear Measurements. - Yuan Xia, Xiaoli Liao, Shilei Li, Qinwen Shi, Jinfa Wu, Ke Li:
Extracting PICO elements from RCT abstracts using 1-2gram analysis and multitask classification. - Atreyee Kundu, Daniel E. Quevedo:
Stabilizing Scheduling Policies for Networked Control Systems. - Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran:
Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples. - Tianyu Cui, Pekka Marttinen, Samuel Kaski:
Recovering Pairwise Interactions Using Neural Networks. - Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew, Jiashi Feng:
Deep Reasoning with Multi-scale Context for Salient Object Detection. - Krishnamoorthy Iyer:
Dispensing with Noise Forward in the "Weak" Relay-Eavesdropper Channel. - Thomas Haines:
A Description and Proof of a Generalised and Optimised Variant of Wikström's Mixnet. - Xuesong Li, José E. Guivant, Ngaiming Kwok, Yongzhi Xu:
3D Backbone Network for 3D Object Detection. - Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth:
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. - Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan:
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits. - Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan:
Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory. - Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. - Jonathan Sauder
Context Prediction for Unsupervised Deep Learning on Point Clouds. - Xuejie Mai, Zhiyong Yuan, Qianqian Tong, Tianchen Yuan, Jianhui Zhao:
Periodic-corrected data driven coupling of blood flow and vessel wall for virtual surgery. - Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang:
Adversarial Variational Inference and Learning in Markov Random Fields. - Anusha Holla, Bharat Gaind, Vikas Reddy Katta, Abhishek Kundu, S. Kamalesh:
Hybrid NER System for Multi-Source Offer Feeds. - Diego Gabriel Krivochen, Beth Phillips:
A model for a Lindenmayer reconstruction algorithm. - Emmanouil Kolezakis
Implementing an ERP System: The Paradigm of a Chemical Company. - Maxime Blanchard, Olivier Allix, Pierre Gosselet, Geoffrey Desmeure:
Space/time global/local noninvasive coupling strategy: Application to viscoplastic structures. - Michal Mackiewicz, Hans Jakob Rivertz, Graham D. Finlayson:
Spherical sampling methods for the calculation of metamer mismatch volumes. - Luca Arnaboldi
Generating Synthetic Data for Real World Detection of DoS Attacks in the IoT. - Georgios K. Pitsilis, Heri Ramampiaro, Helge Langseth:
Securing Tag-based recommender systems against profile injection attacks: A comparative study. (Extended Report). - Azhar Iqbal, Mingyu Guo, Lachlan J. Gunn, Muhammad Ali Babar, Derek Abbott:
Game theoretical modelling of network/cyber security [Review paper]. - Mario Lezcano Casado, David Martínez-Rubio:
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group. - Haonan Tong, Bin Liu, Shihai Wang, Qiuying Li:
Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction. - Justin Domke:
Provable Smoothness Guarantees for Black-Box Variational Inference. - Egor Zuev
Mokka: RSM for open networks. - Sohrab Ferdowsi:
Learning to compress and search visual data in large-scale systems. - Amit K. Chopra, Samuel H. Christie V., Munindar P. Singh:
A Critical Examination of Languages for Specifying Interaction Protocols for Decentralized Social Machines. - M. Estefanía Pereyra, Gastón Araguás, Miroslav Kulich:
Sequential path planning for a formation of mobile robots with split and merge. - Frank Zijlstra
CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network. - Yue Li, Weibin Zhao, Lin Shang:
Really should we pruning after model be totally trained? Pruning based on a small amount of training. - Paul Azunre, Craig Corcoran, Numa Dhamani, Jeffrey L. Gleason, Garrett Honke, David Sullivan, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan:
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks. - Bharat Gaind, Varun Syal, Sneha Padgalwar:
Emotion Detection and Analysis on Social Media. - Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi:
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph. - Maria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris:
Almost Envy-Freeness in Group Resource Allocation. - Yang Li, Zhen Yang, Dongbo Zhao, Hangtian Lei, Bai Cui, Shaoyan Li:
Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model. - Rui Cao, Pavel Naumov:
The Limits of Morality in Strategic Games. - Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang:
Deep Generative Learning via Variational Gradient Flow. - Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee:
On the Transformation of Latent Space in Autoencoders. - Hsuan-Kung Yang, Po-Han Chiang, Kuan-Wei Ho, Min-Fong Hong, Chun-Yi Lee:
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow. - James Paulos, Steven W. Chen, Daigo Shishika, Vijay Kumar:
Decentralization of Multiagent Policies by Learning What to Communicate. - Sanjeevan Ahilan, Peter Dayan:
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. - Nicola Scianca, Daniele De Simone, Leonardo Lanari, Giuseppe Oriolo:
MPC for Humanoid Gait Generation: Stability and Feasibility. - Rithesh Kumar, Anirudh Goyal, Aaron C. Courville, Yoshua Bengio:
Maximum Entropy Generators for Energy-Based Models. - Kunal Garg, Dimitra Panagou:
Finite-Time Stability of Switched and Hybrid Systems. - Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li:
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. - Jayam Patel, Yicong Xu, Carlo Pinciroli:
Mixed-Granularity Human-Swarm Interaction. - Adrien Chan-Hon-Tong:
Solving linear program with Chubanov queries and bisection moves. - Adria Ruiz, Oriol Martínez, Xavier Binefa, Jakob Verbeek:
Learning Disentangled Representations with Reference-Based Variational Autoencoders. - Guillaume Sartoretti, William Paivine, Yunfei Shi, Yue Wu, Howie Choset:
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots. - Yihe Dong
Learning Sublinear-Time Indexing for Nearest Neighbor Search. - Yuxia Geng, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Huajun Chen:
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract]. - Ryosuke Kojima, Taisuke Sato:
A tensorized logic programming language for large-scale data. - Kam Woh Ng, Lixin Fan, Chee Seng Chan:
A Universal Logic Operator for Interpretable Deep Convolution Networks. - Jiseob Kim, Byoung-Tak Zhang:
Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology. - Ioana Giurgiu, Anika Schumann:
Explainable Failure Predictions with RNN Classifiers based on Time Series Data. - Jianjie Lu, Kai-Yu Tong:
Visualized Insights into the Optimization Landscape of Fully Convolutional Networks. - Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura:
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. - Philipp Schmidt, Felix Bießmann:
Quantifying Interpretability and Trust in Machine Learning Systems. - Osbert Bastani:
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems. - Hugo A. Akitaya, Cordelia Avery, Joseph Bergeron, Erik D. Demaine, Justin Kopinsky, Jason S. Ku:
Infinite All-Layers Simple Foldability. - Halley Young, Osbert Bastani, Mayur Naik:
Learning Neurosymbolic Generative Models via Program Synthesis. - Matthew O'Kelly, Varundev Sukhil, Houssam Abbas, Jack Harkins, Chris Kao, Yash Vardhan Pant, Rahul Mangharam, Dipshil Agarwal, Madhur Behl, Paolo Burgio, Marko Bertogna:
F1/10: An Open-Source Autonomous Cyber-Physical Platform. - Min Wen, Osbert Bastani, Ufuk Topcu:
Fairness with Dynamics. - Boris Karanov, Domaniç Lavery, Polina Bayvel, Laurent Schmalen:
End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks. - Simon S. Du, Wei Hu:
Width Provably Matters in Optimization for Deep Linear Neural Networks. - Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan:
Theoretically Principled Trade-off between Robustness and Accuracy. - Jérôme Durand-Lose, Hendrik Jan Hoogeboom, Natasa Jonoska:
Deterministic 2-Dimensional Temperature-1 Tile Assembly Systems Cannot Compute. - Carolyn Kim, Osbert Bastani:
Learning Interpretable Models with Causal Guarantees. - Ahmed Arafa, Jing Yang, Sennur Ulukus, H. Vincent Poor:
Using Erasure Feedback for Online Timely Updating with an Energy Harvesting Sensor. - Ross Gruetzemacher, David B. Paradice, Kang Bok Lee:
Forecasting Transformative AI: An Expert Survey. - Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruosong Wang:
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks. - Hermina Petric Maretic, Mireille El Gheche, Pascal Frossard:
Graph heat mixture model learning. - Ehsan Mohammadi, Mike Thelwall:
Readership Data and Research Impact. - Xinyu Li, Venkata Chebiyyam, Katrin Kirchhoff:
Multi-stream Network With Temporal Attention For Environmental Sound Classification. - Tom Zahavy, Shie Mannor:
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching. - Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Larry Davis:
In Defense of the Triplet Loss for Visual Recognition. - Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian:
Verifiable Round-Robin Scheme for Smart Homes. - Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty:
A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data. - Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister:
Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. - Jiancheng Lyu, Shuai Zhang
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. - Aditya Kumar Pathak, Priyankit Acharya, Dilpreet Kaur, Rakesh Chandra Balabantaray:
Automatic Parallel Corpus Creation for Hindi-English News Translation Task. - Gábor Horváth, Illés Horváth, Miklós Telek:
High order concentrated non-negative matrix-exponential functions. - Khashayar Asadi, Pengyu Chen, Kevin K. Han, Tianfu Wu, Edgar J. Lobaton:
Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites. - Chris Alberti, Kenton Lee, Michael Collins:
A BERT Baseline for the Natural Questions. - Fan Zhang, Lei Zou, Li Zeng, Xiangyang Gou:
Dolha - an Efficient and Exact Data Structure for Streaming Graphs. - Richard Meyes, Melanie Lu, Constantin Waubert de Puiseau, Tobias Meisen:
Ablation Studies in Artificial Neural Networks. - Christopher Grimm, Satinder Singh:
Learning Independently-Obtainable Reward Functions. - Bo Pang, Zhong-Ping Jiang:
Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach. - Antonin Raffin, Ashley Hill, Kalifou René Traoré
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. - Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter:
Learning agile and dynamic motor skills for legged robots. - Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan:
The Assistive Multi-Armed Bandit. - Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Is Pretraining Necessary for Hyperspectral Image Classification? - Hacene Mellah
Intelligent Sensor Based Bayesian Neural Network for Combined Parameters and States Estimation of a Brushed DC Motor. - Robert C. Williamson, Aditya Krishna Menon:
Fairness risk measures. - Jason Arnold, Boris Glavic, Ioan Raicu:
HRDBMS: Combining the Best of Modern and Traditional Relational Databases. - Xun Qian, Zheng Qu, Peter Richtárik
SAGA with Arbitrary Sampling. - Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas:
Multi-objective training of Generative Adversarial Networks with multiple discriminators. - Poojan Oza, Vishal M. Patel:
One-Class Convolutional Neural Network. - Dmitry Kovalev
Don't Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop. - Sourjya Dutta, C. Nicolas Barati, Aditya Dhananjay, David A. Ramirez, James F. Buckwalter, Sundeep Rangan:
A Case for Digital Beamforming at mmWave. - Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David L. Donoho:
Ambitious Data Science Can Be Painless. - Laura Graesser, Kyunghyun Cho, Douwe Kiela:
Emergent Linguistic Phenomena in Multi-Agent Communication Games. - Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding:
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. - Harsh Gupta, Seo Taek Kong, R. Srikant, Weina Wang:
Almost Boltzmann Exploration. - Trung Le, Dinh Q. Phung:
When Can Neural Networks Learn Connected Decision Regions? - Palash Dey:
Optimal Bribery in Voting. - Neel Doshi, Kaushik Jayaram, Samantha Castellanos, Scott Kuindersma, Robert J. Wood:
Effective Locomotion at Multiple Stride Frequencies Using Proprioceptive Feedback on a Legged Microrobot. - Anindya Bijoy Das, Aditya Ramamoorthy:
Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. - Hugo Melo, Roberta Coelho, Christoph Treude:
Unveiling Exception Handling Guidelines Adopted by Java Developers. - Gyunghoon Park, Chanhwa Lee, Youngjun Joo, Hyungbo Shim:
Robust Stability of Discrete-time Disturbance Observers: Understanding Interplay of Sampling, Model Uncertainty and Discrete-time Designs. - Lecheng Zheng, Yu Cheng, Jingrui He:
Deep Multimodality Model for Multi-task Multi-view Learning. - Ye Tian, Peng Jia, Anahita Mirtabatabaei, Long Wang, Noah E. Friedkin, Francesco Bullo:
Social power evolution in influence networks with stubborn individuals. - Rishabh Agarwal:
Evaluation Function Approximation for Scrabble. - Nazim Uddin Sheikh, Hasina Rahman, Hamid Al-Qahtani:
An Optimized Pattern Recognition Algorithm for Anomaly Detection in IoT Environment. - Sicong Liu, Anshumali Shrivastava, Junzhao Du, Lin Zhong:
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network. - Pengqian Yu, Joon Sern Lee, Ilya Kulyatin, Zekun Shi, Sakyasingha Dasgupta:
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization. - Venkatesh Umaashankar, Girish Shanmugam S:
Ask less - Scale Market Research without Annoying Your Customers. - Jinhyuk Lee, Wonjin Yoon
BioBERT: a pre-trained biomedical language representation model for biomedical text mining. - Hao-Wen Dong
Towards a Deeper Understanding of Adversarial Losses. - Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang:
SecureBoost: A Lossless Federated Learning Framework. - Priyank Palod, Ayush Patwari, Sudhanshu Bahety, Saurabh Bagchi, Pawan Goyal:
Misleading Metadata Detection on YouTube. - Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. - Vishnu V. Ratnam, Andreas F. Molisch:
Continuous Analog Channel Estimation Aided Beamforming for Massive MIMO Systems. - Andreas Thor, Lutz Bornmann, Robin Haunschild, Loet Leydesdorff:
Which are the influential publications in the Web of Science subject categories over a long period of time? CRExplorer software used for big-data analyses in bibliometrics. - Julian Zimmert, Haipeng Luo, Chen-Yu Wei:
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously. - Ali Kariminezhad, Aydin Sezgin:
Robust Transceiver Design for MIMO Decode-and-Forward Full-Duplex Relay. - Santiago Badia, Alberto F. Martín, Marc Olm:
Scalable solvers for complex electromagnetics problems. - Kwangjin Yoon, Young-min Song, Moongu Jeon:
Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views. - Michael Kerber, Arnur Nigmetov:
Metric Spaces with Expensive Distances. - Huynh Tu Dang, Pietro Bressana, Han Wang
Partitioned Paxos via the Network Data Plane. - Jan Chorowski, Ron J. Weiss, Samy Bengio, Aäron van den Oord:
Unsupervised speech representation learning using WaveNet autoencoders. - Matteo Ferrara, Annalisa Franco, Davide Maltoni:
Face morphing detection in the presence of printing/scanning and heterogeneous image sources. - Quanshi Zhang, Lixin Fan, Bolei Zhou:
Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning. - Cheng Wang, Mathias Niepert:
State-Regularized Recurrent Neural Networks. - Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
Joint shape learning and segmentation for medical images using a minimalistic deep network. - Pawel Trajdos, Marcin Majak:
Bayes metaclassifier and Soft-confusion-matrix classifier in the task of multi-label classification. - Vincenzo Bonifaci:
A Laplacian Approach to 𝓁1-Norm Minimization. - Jan A. Bergstra, Cornelis A. Middelburg:
Program algebra for Turing-machine programs. - Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu:
Improving Adversarial Robustness via Promoting Ensemble Diversity. - Andreas Pavlogiannis:
Fast, Sound and Effectively Complete Dynamic Race Detection. - Giacomo Micheli, Alessandro Neri:
New Lower Bounds for Permutation Codes using Linear Block Codes. - Sarthak J. Shetty:
Vision-based inspection system employing computer vision & neural networks for detection of fractures in manufactured components. - Sebastian J. Schlecht, Emanuël Anco Peter Habets:
Modal Decomposition of Feedback Delay Networks. - Mohammad Irfan Khan, François-Xavier Aubet, Marc-Oliver Pahl, Jérôme Härri
Deep Learning-aided Application Scheduler for Vehicular Safety Communication. - Xi Chen, Mike Hobson:
Bayesian surrogate learning in dynamic simulator-based regression problems. - Namrata Chaudhary, Drimik Roy Chowdhury:
Expanding Click and Buy rates: Exploration of evaluation metrics that measure the impact of personalized recommendation engines on e-commerce platforms. - Yujendra Mitikiri, Kamran Mohseni:
An analytic solution to two quaternion attitude estimation problems. - Priyanka Mandikal, R. Venkatesh Babu:
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. - Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo:
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. - Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson:
Scalable Realistic Recommendation Datasets through Fractal Expansions. - Gewu Bu, Maria Potop-Butucaru:
Wireless Broadcast with optimal labelling. - Yang You, Liangwei Li, Baisong Guo, Weiming Wang, Cewu Lu:
Combinational Q-Learning for Dou Di Zhu. - Caifeng Liu, Lin Feng, Guochao Liu, Huibing Wang, Shenglan Liu:
Bottom-up Broadcast Neural Network For Music Genre Classification. - Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa:
Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability. - Shikun Liu, Andrew J. Davison, Edward Johns:
Self-Supervised Generalisation with Meta Auxiliary Learning. - Konstantinos Poularakis, Qiaofeng Qin, Liang Ma, Sastry Kompella, Kin K. Leung, Leandros Tassiulas:
Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures. - David Darmon, William Rand, Michelle Girvan:
Computational landscape of user behavior on social media. - Yimin Zhou, Yiwei Sun, Vasant G. Honavar:
Improving Image Captioning by Leveraging Knowledge Graphs. - Konstantinos Poularakis, Jaime Llorca, Antonia M. Tulino, Ian J. Taylor, Leandros Tassiulas:
Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks. - François-Pierre Paty, Marco Cuturi:
Subspace Robust Wasserstein distances. - Samet Akçay, Amir Atapour Abarghouei, Toby P. Breckon:
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection. - Zhishen Huang, Stephen Becker:
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. - Wanpeng Li, Chris J. Mitchell, Thomas M. Chen:
OAuthGuard: Protecting User Security and Privacy with OAuth 2.0 and OpenID Connect. - Zhuojia Gu, Hancheng Lu, Zuqing Zhu:
On Throughput Optimization and Bound Analysis in Cache-Enabled Fiber-Wireless Access Networks. - João Reis, Gil Gonçalves:
A Zero-Shot Learning application in Deep Drawing process using Hyper-Process Model. - Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics++: Learning to Detect Manipulated Facial Images. - Veljko Pejovic:
Towards Approximate Mobile Computing. - Valentina Franzoni, Michele Lepri, Alfredo Milani:
Topological and Semantic Graph-based Author Disambiguation on DBLP Data in Neo4j. - Xinyuan Qian, Andrea Cavallaro, Alessio Brutti, Maurizio Omologo:
LOCATA challenge: speaker localization with a planar array. - Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington:
Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs. - Luis A. Pérez Rey, Vlado Menkovski, Jacobus W. Portegies:
Diffusion Variational Autoencoders. - Jingxian Liu, Ke Xiong, Pingyi Fan, Zhangdui Zhong, Khaled Ben Letaief:
Optimal Design of SWIPT-Aware Fog Computing Networks. - (Withdrawn) A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction.
- Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer:
Revisiting Self-Supervised Visual Representation Learning. - Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne:
On the Limitations of Representing Functions on Sets. - Michael Skotnica:
No-three-in-line problem on a torus: periodicity. - Adrian Dumitrescu:
Finding a Mediocre Player. - Simon S. Du, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal, Miroslav Dudík, John Langford:
Provably efficient RL with Rich Observations via Latent State Decoding. - Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee:
Diversity-Sensitive Conditional Generative Adversarial Networks. - Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu:
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. - Ziwei Xu
Comparing of Term Clustering Frameworks for Modular Ontology Learning. - Julaiti Alafate, Yoav Freund:
Faster Boosting with Smaller Memory. - Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass:
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets. - Théo Coulin, Maxence Detante, William Mouchère, Fábio Petrillo:
Software Architecture Metrics: a literature review. - Björn Barz, Joachim Denzler:
Deep Learning on Small Datasets without Pre-Training using Cosine Loss. - Abhinav Jangda, Bobby Powers, Arjun Guha, Emery D. Berger:
Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code. - Youness Dendane, Fábio Petrillo, Hamid Mcheick, Souhail Ben Ali:
A quality model for evaluating and choosing a stream processing framework architecture. - Neel Doshi, Kaushik Jayaram, Benjamin Goldberg, Zachary Manchester, Robert J. Wood, Scott Kuindersma:
Contact-Implicit Optimization of Locomotion Trajectories for a Quadrupedal Microrobot. - Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies. - Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona:
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization. - Felipe Almeida, Geraldo Xexéo:
Word Embeddings: A Survey. - David van Dijk, Daniel B. Burkhardt
Finding Archetypal Spaces for Data Using Neural Networks. - Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Learning for New Visual Environments with Limited Labels. - Arjun Pakrashi, Bidyut B. Chaudhuri:
A Kalman filtering induced heuristic optimization based partitional data clustering. - Zhengbo Zou, Semiha Ergan:
Leveraging Data Driven Approaches to Quantify the Impact of Construction Projects on Urban Quality of Life. - Raphael Arkady Meyer, Jean Honorio:
On the Statistical Efficiency of Optimal Kernel Sum Classifiers. - Christof Löding, P. Madhusudan, Adithya Murali, Lucas Peña:
A First Order Logic with Frames. - Ryan Marcus, Olga Papaemmanouil:
Flexible Operator Embeddings via Deep Learning. - Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa:
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks. - Hyunuk Kim, Inho Hong, Woo-Sung Jung:
Measuring national capability over big sciences multidisciplinarity: A case study of nuclear fusion research. - Uri Hadar, Jingbo Liu, Yury Polyanskiy, Ofer Shayevitz:
Communication Complexity of Estimating Correlations. - Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk:
On Learning Meaningful Code Changes via Neural Machine Translation. - Huda AlAmri, Vincent Cartillier, Abhishek Das, Jue Wang, Stefan Lee, Peter Anderson, Irfan Essa, Devi Parikh, Dhruv Batra, Anoop Cherian, Tim K. Marks, Chiori Hori:
Audio-Visual Scene-Aware Dialog. - Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis:
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization. - Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li:
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data. - Andrei Popescu-Belis:
Context in Neural Machine Translation: A Review of Models and Evaluations. - Michael Altschuler, Michael Bloodgood:
Stopping Active Learning based on Predicted Change of F Measure for Text Classification. - Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello:
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. - Marc Denecker, Yuliya Lierler, Miroslaw Truszczynski, Joost Vennekens:
The informal semantics of Answer Set Programming: A Tarskian perspective. - Garrett Beatty, Ethan Kochis, Michael Bloodgood:
The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification. - Yuliya Lierler:
Strong Equivalence and Program's Structure in Arguing Essential Equivalence between Logic Programs. - Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin:
Language Model Pre-training for Hierarchical Document Representations. - Xuan Li, Miao Jin:
Optimal k-Coverage Charging Problem. - Nino Arsov, Martin Pavlovski, Ljupco Kocarev:
Stacking and stability. - Zhong Qiu Lin, Alexander Wong:
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks. - Ryan McKenna, Daniel Sheldon, Gerome Miklau:
Graphical-model based estimation and inference for differential privacy. - Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee:
End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization. - Matthew Staib, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar, Suvrit Sra:
Escaping Saddle Points with Adaptive Gradient Methods. - Diego Delle Donne, Guido Tagliavini:
Star Routing: Between Vehicle Routing and Vertex Cover. - Norimichi Ukita:
Human Pose Estimation using Motion Priors and Ensemble Models. - Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. - Kai Lei, Meng Qin, Bo Bai, Gong Zhang, Min Yang:
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks. - Pan Lai, Lingjie Duan, Xiaojun Lin:
Learning and Coordination of Large and Uncertain Loads via Flexible Contracts with Commitment. - Songyang Zhang, Weimin Lei:
An Optimized BBR for Multipath Real Time Video Streaming. - Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu:
A general model for plane-based clustering with loss function. - Davide Grossi, Simon Rey:
Credulous Acceptability, Poison Games and Modal Logic. - Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy:
Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware. - Yucheng Liu, Parastoo Sadeghi:
Generalized Alignment Chain: Improved Converse Results for Index Coding. - Chen Tessler, Yonathan Efroni, Shie Mannor:
Action Robust Reinforcement Learning and Applications in Continuous Control. - Ricards Marcinkevics
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm. - Yonatan Geifman, Ran El-Yaniv:
SelectiveNet: A Deep Neural Network with an Integrated Reject Option. - (Withdrawn) Scene Text Synthesis for Efficient and Effective Deep Network Training.
- Ahmed H. Shahin, Karim Amer, Mustafa A. Elattar:
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation. - Xiao-Yun Zhou, Jian-Qing Zheng, Guang-Zhong Yang:
Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps. - Arash Mehrjou, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet:
Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces. - Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan:
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. - Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Intrinsically Sparse Long Short-Term Memory Networks. - Ying Wen, Yaodong Yang, Rui Lu, Jun Wang:
Multi-Agent Generalized Recursive Reasoning. - Edith Elkind, Piotr Faliszewski, Jean-François Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon:
What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain. - Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach:
Implicit Dimension Identification in User-Generated Text with LSTM Networks. - Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. - Qianqian Tong, Xiaosa Li, Kai Lin, Zhiyong Yuan:
Cascade LSTM Based Visual-Inertial Navigation for Magnetic Levitation Haptic Interaction. - Chunming Tang, Cunsheng Ding, Maosheng Xiong:
Steiner systems S(2, 4, 3m-1/2) and 2-designs from ternary linear codes of length 3m-1/2. - Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan:
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks. - Yang Lu, Ke Xiong, Pingyi Fan, Zhangdui Zhong, Khaled Ben Letaief:
Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information. - Felipe Cucker, Alperen Ali Ergür, Josué Tonelli-Cueto:
Plantinga-Vegter algorithm takes average polynomial time. - Thomas Moreau
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals. - Vishnu Vardhan Chetlur, Harpreet S. Dhillon:
Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication. - Anubhav Jain, Richa Singh, Mayank Vatsa:
On Detecting GANs and Retouching based Synthetic Alterations. - Hanumant Singh Shekhawat:
Frequency truncated discrete-time system norm. - Abdul Karim, Avinash Mishra, M. A. Hakim Newton, Abdul Sattar:
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees. - Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan:
DistInit: Learning Video Representations without a Single Labeled Video. - Yi Shi, Tugba Erpek, Yalin E. Sagduyu, Jason H. Li:
Spectrum Data Poisoning with Adversarial Deep Learning. - Anoosheh Heidarzadeh, Fatemeh Kazemi, Alex Sprintson:
Capacity of Single-Server Single-Message Private Information Retrieval with Private Coded Side Information. - Aljosa Osep, Paul Voigtlaender, Mark Weber, Jonathon Luiten, Bastian Leibe:
4D Generic Video Object Proposals. - Eytan Kats, Jacob Goldberger, Hayit Greenspan:
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation. - Eddy Maddalena, Luis-Daniel Ibáñez, Elena Simperl:
On the mapping of Points of Interest through StreetView imagery and paid crowdsourcing. - Wei Ma, Zhen Qian:
Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data. - Konstantin Mishchenko
Distributed Learning with Compressed Gradient Differences. - Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani:
Challenges in Designing Datasets and Validation for Autonomous Driving. - Stefan Milz, Martin Simon, Kai Fischer, Maximilian Pöpperl:
Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks. - Mohamed Nassar
A Practical Scheme for Two-Party Private Linear Least Squares. - Charles B. Delahunt, Courosh Mehanian, J. Nathan Kutz:
Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy. - Alan T. Sherman, Linda Oliva, Enis Golaszewski, Dhananjay S. Phatak, Travis Scheponik, Geoffrey L. Herman, Dong San Choi, Spencer E. Offenberger, Peter Peterson, Josiah Dykstra, Gregory V. Bard, Ankur Chattopadhyay, Filipo Sharevski, Rakesh M. Verma, Ryan Vrecenar:
The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories. - Wesley Taylor, Faisal Z. Qureshi:
Real-time Video Summarization on Commodity Hardware. - Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi:
PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training. - Najwa Kouka, Raja Fdhila, Adel M. Alimi:
Multi Objective Particle Swarm Optimization based Cooperative Agents with Automated Negotiation. - Jing Zhang:
Anomaly detecting and ranking of the cloud computing platform by multi-view learning. - Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama:
Variational Smoothing in Recurrent Neural Network Language Models. - Patchava Raviteja, Khoa Tran Phan, Yi Hong, Emanuele Viterbo:
Orthogonal Time Frequency Space (OTFS) Modulation Based Radar System. - Yuanxin Cai, Zhiqiang Wei, Ruide Li, Derrick Wing Kwan Ng, Jinhong Yuan:
Energy-Efficient Resource Allocation for Secure UAV Communication Systems. - Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang:
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. - James Gentry, Chavit Denninnart, Mohsen Amini Salehi:
Robust Dynamic Resource Allocation via Probabilistic Task Pruning in Heterogeneous Computing Systems. - P. Balasubramanian, Douglas L. Maskell, Nikos E. Mastorakis:
Asynchronous Early Output Block Carry Lookahead Adder with Improved Quality of Results. - P. Balasubramanian, Douglas L. Maskell, Nikos E. Mastorakis:
Majority and Minority Voted Redundancy for Safety-Critical Applications. - Hongyi Zhang, Yann N. Dauphin, Tengyu Ma:
Fixup Initialization: Residual Learning Without Normalization. - Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. - Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Reward Shaping via Meta-Learning. - Roshni Chakraborty, Abhijeet Kharat, Apalak Khatua, Sourav Kumar Dandapat, Joydeep Chandra:
Predicting Tomorrow's Headline using Today's Twitter Deliberations. - Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry:
Augment your batch: better training with larger batches. - Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li:
Heterogeneity-aware Gradient Coding for Straggler Tolerance. - Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman:
On the Universality of Invariant Networks. - Lijun Zhang, Zhi-Hua Zhou:
Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate. - Abubakar Abid, Muhammad Fatih Balin, James Y. Zou:
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction. - Di Gao, Dayane Alfenas Reis, Xiaobo Sharon Hu, Cheng Zhuo:
Eva-CiM: A System-Level Energy Evaluation Framework for Computing-in-Memory Architectures. - Julia Chuzhoy, Rachit Nimavat:
Large Minors in Expanders. - Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. - Mark Kaminski, Egor V. Kostylev:
Subsumption of Weakly Well-Designed SPARQL Patterns is Undecidable. - Vasileios Nakos:
Nearly Optimal Sparse Polynomial Multiplication. - Abdulkadir Celik, Nasir Saeed, Basem Shihada, Tareq Y. Al-Naffouri
End-to-End Performance Analysis of Underwater Optical Wireless Relaying and Routing Techniques Under Location Uncertainty. - Yoni Kasten, Meirav Galun, Ronen Basri:
Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches. - Jin Liu, Sheng He:
6D Object Pose Estimation Based on 2D Bounding Box. - Mohamed Amine Ferrag, Leandros A. Maglaras, Abdelouahid Derhab:
Authentication and Authorization for Mobile IoT Devices using Bio-features: Recent Advances and Future Trends. - Chao Xu, Howard H. Yang, Xijun Wang, Tony Q. S. Quek:
On Peak Age of Information in Data Preprocessing enabled IoT Networks. - Shaoshi Chen, Lixin Du, Chaochao Zhu:
Existence Problem of Telescopers for Rational Functions in Three Variables: the Mixed Cases. - Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou:
Dual Co-Matching Network for Multi-choice Reading Comprehension. - Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama:
Imitation Learning from Imperfect Demonstration. - Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu:
Moving Deep Learning into Web Browser: How Far Can We Go? - Narges Gholipoor, Saeedeh Parsaeefard, Mohammad Reza Javan, Nader Mokari, Hamid Saeedi:
Cloud-based Queuing Model for Tactile Internet in Next Generation of RAN. - Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar:
How Sensitive are Sensitivity-Based Explanations? - Edoardo Remelli, Pierre Baqué, Pascal Fua:
NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler. - Robert Mansel Gower, Nicolas Loizou, Xun Qian
SGD: General Analysis and Improved Rates. - Amlaan Bhoi:
Monocular Depth Estimation: A Survey. - Amlaan Bhoi:
Spatio-temporal Action Recognition: A Survey. - Yu-Len Huang, Dar-Ren Chen, Yu-Chih Lin:
3D Contouring for Breast Tumor in Sonography. - Blake Johnson, Rahul Simha:
CRAQL: A Composable Language for Querying Source Code. - Hui Xie, Jirong Yi, Weiyu Xu, Raghu Mudumbai:
An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers. - Yulong Zou, Tong Wu, Ming Sun, Jia Zhu, Mujun Qian, Chen Liu:
Secrecy Outage Analysis of Non-Orthogonal Spectrum Sharing for Heterogeneous Cellular Networks. - Kolar Purushothama Naveen, Rajesh Sundaresan:
Double-Auction Mechanisms for Resource Trading Market. - Orit E. Raz, Avi Wigderson:
Subspace arrangements, graph rigidity and derandomization through submodular optimization. - Omar Boudraa, Walid-Khaled Hidouci, Dominique Michelucci:
Degraded Historical Documents Images Binarization Using a Combination of Enhanced Techniques. - Siddharth Barman, Ganesh Ghalme, Shweta Jain, Pooja Kulkarni, Shivika Narang:
Fair Division of Indivisible Goods Among Strategic Agents. - Rémy Belmonte, Tesshu Hanaka, Ioannis Katsikarelis, Michael Lampis, Hirotaka Ono, Yota Otachi:
Parameterized Complexity of Safe Set. - Konstantin Mishchenko
99% of Parallel Optimization is Inevitably a Waste of Time. - Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu:
Promoting Diversity for End-to-End Conversation Response Generation. - Xiang Xu, Ioannis A. Kakadiaris:
Open Source Face Recognition Performance Evaluation Package. - Samy Wu Fung, Sanna Tyrväinen, Lars Ruthotto, Eldad Haber:
Large-Scale Classification using Multinomial Regression and ADMM. - Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai:
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. - Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon:
On Learning Invariant Representation for Domain Adaptation. - Carles Gelada, Marc G. Bellemare:
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift. - Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. - Banghua Zhu, Jiantao Jiao, David Tse:
Deconstructing Generative Adversarial Networks. - Yukio Ohsawa, Teruaki Hayashi, Takaaki Yoshino:
Tangled String for Multi-Scale Explanation of Contextual Shifts in Stock Market. - Nils Wilde, Dana Kulic, Stephen L. Smith:
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. - Ning Ma, Josh Zhao, Mark Bolin:
Watermark Signal Detection and Its Application in Image Retrieval. - Kamonphop Srisopha, Pooyan Behnamghader, Barry W. Boehm:
Do users talk about the software in my product? Analyzing user reviews on IoT products. - Peter Selinger, Giulio Chiribella:
Proceedings 15th International Conference on Quantum Physics and Logic, QPL 2018, Halifax, Canada, 3-7th June 2018. EPTCS 287, 2019 [contents] - Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright
Bridging the Gap Between Computational Photography and Visual Recognition. - Francisco Perdigón Romero, Andre Diler, Gabriel Bisson-Gregoire, Simon Turcotte, Real Lapointe, Franck Vandenbroucke-Menu, An Tang, Samuel Kadoury:
End-to-End Discriminative Deep Network for Liver Lesion Classification. - Lokesh Saharan, Lianjun Wu, Yonas Tadesse:
Modeling and Simulation of Robotic Finger Powered by Nylon Artificial Muscles- Equations with Simulink model. - Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi:
Stochastic Linear Bandits with Hidden Low Rank Structure. - Stanislav Fort, Pawel Krzysztof Nowak, Srini Narayanan:
Stiffness: A New Perspective on Generalization in Neural Networks. - Yongzhen Wang, Xiaozhong Liu, Zheng Gao:
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. - (Withdrawn) Strong Black-box Adversarial Attacks on Unsupervised Machine Learning Models.
- Valery A. Ugrinovskii, Matthew R. James:
Wiener Filtering for Passive Linear Quantum Systems. - Thomas Gebhart, Paul Schrater:
Adversarial Examples Target Topological Holes in Deep Networks. - Adele Lu Jia, Xiaoxue Shen, Siqi Shen, Jun Xu:
User Donations in a Crowdsourced Video System. - Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing:
Toward Unsupervised Text Content Manipulation. - Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang:
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting. - I. A. Junussov:
Note on distance matrix hashing. - Changfu Li, Vahid R. Disfani, Hamed Valizadeh Haghi, Jan Kleissl:
Optimal Voltage Regulation of Unbalanced Distribution Networks with Coordination of OLTC and PV Generation. - Rungroj Maipradit, Christoph Treude
Wait For It: Identifying "On-Hold" Self-Admitted Technical Debt. - Kwun Yiu Cadmus To
Streamlines for Motion Planning in Underwater Currents. - Ki Myung Brian Lee, Chanyeol Yoo, Ben Hollings, Stuart Anstee, Shoudong Huang
Online Estimation of Ocean Current from Sparse GPS Data for Underwater Vehicles. - Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi:
Black Box Submodular Maximization: Discrete and Continuous Settings. - Harshal Mittal, Kartikey Pandey, Yash Kant:
ICLR Reproducibility Challenge Report (Padam : Closing The Generalization Gap Of Adaptive Gradient Methods in Training Deep Neural Networks). - Wenlong Shen, Yu Cheng, Bo Yin, Kecheng Liu, Xianghui Cao:
Diffie-Hellman in the Air: A Link Layer Approach for In-Band Wireless Pairing. - Erel Segal-Halevi:
Bipartite Envy-Free Matching. - Jonathan M. Bloom:
Secure multi-party linear regression at plaintext speed. - Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz:
Target Tracking for Contextual Bandits: Application to Demand Side Management. - Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Quanshi Zhang:
Complex-Valued Neural Networks for Privacy Protection. - Bin Dong, Haocheng Ju, Yiping Lu
CURE: Curvature Regularization For Missing Data Recovery. - Marcus Karlsson, Emil Björnson, Erik G. Larsson:
Techniques for System Information Broadcast in Cell-Free Massive MIMO. - Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Out-of-Sample Testing for GANs. - Lei Liu, Chulong Liang, Junjie Ma, Li Ping:
Capacity Optimality of AMP in Coded Systems. - Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Fairness in representation: quantifying stereotyping as a representational harm. - Tatiana P. Makhalova, Martin Trnecka:
From-Below Boolean Matrix Factorization Algorithm Based on MDL. - Lahiru D. Chamain, Prathapasinghe Dharmawansa, Saman Atapattu, Chintha Tellambura:
Detection of a Signal in Colored Noise: A Random Matrix Theory Based Analysis. - Xiandong Meng, Xuan Deng, Shuyuan Zhu, Bing Zeng:
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure. - Sella Nevo, Vova Anisimov, Gal Elidan, Ran El-Yaniv, Pete Giencke, Yotam Gigi, Avinatan Hassidim, Zach Moshe, Mor Schlesinger, Guy Shalev, Ajai Tirumali, Ami Wiesel, Oleg Zlydenko, Yossi Matias:
ML for Flood Forecasting at Scale. - Maria Francis, Thibaut Verron:
Signature-based Möller's algorithm for strong Gröbner bases over PIDs. - Ivana Balazevic
TuckER: Tensor Factorization for Knowledge Graph Completion. - Vinay Kaushik, Brejesh Lall:
Fast Hierarchical Depth Map Computation from Stereo. - Julien Lange, Nobuko Yoshida:
Verifying Asynchronous Interactions via Communicating Session Automata. - Martin Asenov, Marius Rutkauskas, Derryck Telford Reid, Kartic Subr, Subramanian Ramamoorthy:
Active Localization of Gas Leaks using Fluid Simulation. - Hongjun Jeon, Wonchul Seo, Eunjeong Lucy Park, Sungchul Choi:
Hybrid Machine Learning Approach to Popularity Prediction of Newly Released Contents for Online Video Streaming Service. - Doyun Kim, Kyoung-Young Kim, Sangsoo Ko, Sanghyuck Ha:
A Simple Method to Reduce Off-chip Memory Accesses on Convolutional Neural Networks. - Okan Köpüklü, Maryam Babaee, Stefan Hörmann, Gerhard Rigoll:
Convolutional Neural Networks with Layer Reuse. - Roohollah Rezaei, Sumei Sun, Xin Kang, Yong Liang Guan, Mohammad Reza Pakravan:
Secrecy Throughput Maximization for Full-Duplex Wireless Powered IoT Networks under Fairness Constraints. - Wlodzislaw Duch, Rafal Adamczak, Yoichi Hayashi:
Neural eliminators and classifiers. - Luca Consolini, Mattia Laurini, Marco Locatelli, Dario Lodi Rizzini
Globally Optimal Registration based on Fast Branch and Bound. - Tomasz Maszczyk, Wlodzislaw Duch:
Support Feature Machines. - David M. Benton:
Concurrent Coding: A Reason to Think Differently About Encoding Against Noise, Burst Errors and Jamming. - Hussein Saad, Aria Nosratinia:
EXIT Analysis for Community Detection. - Zhixuan Zhou, Huankang Guan, Meghana Moorthy Bhat, Justin Hsu:
Fake News Detection via NLP is Vulnerable to Adversarial Attacks. - Tao Wen, Wen Jiang:
Identifying influential nodes based on fuzzy local dimension in complex networks. - Nandana Sengupta, Nati Srebro, James Evans:
Simple Surveys: Response Retrieval Inspired by Recommendation Systems. - Zhonghua Han, Xutian Tian, Xiaoting Dong, Fanyi Xie:
Swarm Intelligent Algorithm For Re-entrant Hybrid Flow shop Scheduling Problems. - Yali Wan, Marina Meila:
Measuring the Robustness of Graph Properties. - Yi Bu, Ludo Waltman, Yong Huang:
A multidimensional perspective on the citation impact of scientific publications. - Jayant Gupchup, Razvan Musaloiu-Elefteri, Alex Szalay, Andreas Terzis:
Sundial: Using Sunlight to Reconstruct Global Timestamps. - Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos:
ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding. - Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, Xuan Zhu:
Personalized Dialogue Generation with Diversified Traits. - (Withdrawn) A Deep Generative Model for Graphs: Supervised Subset Selection to Create Diverse Realistic Graphs with Applications to Power Networks Synthesis.
- Ming Gao, Xiangnan He, Leihui Chen, Aoying Zhou:
Learning Vertex Representations for Bipartite Networks. - Lu Liu, Wuyang Zhou, Sihai Zhang, Wei Cai:
Functional Gaussian Distribution Modelling of Mobility Prediction Accuracy for Wireless Users. - Malik Magdon-Ismail, Kshiteesh Hegde:
The Intrinsic Scale of Networks is Small. - Kshiteesh Hegde, Malik Magdon-Ismail:
Network Lens: Node Classification in Topologically Heterogeneous Networks. - Matthew Aldridge:
Rates of adaptive group testing in the linear regime. - Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst:
Anomaly detection in the dynamics of web and social networks. - Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. - Fu-Chun Yeh:
Forecasting mortality using Google trend. - Aleksei Triastcyn, Boi Faltings:
Improved Accounting for Differentially Private Learning. - Sikai Qu, Armand M. Makowski:
Node isolation in large homogeneous binary multiplicative attribute graph models. - Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Event Forecasting using Deep RL. - Pengfei Gao, Hongyi Xie, Jun Zhang, Fu Song, Taolue Chen:
Quantitative Verification of Masked Arithmetic Programs against Side-Channel Attacks. - Frank Nussbaum, Joachim Giesen:
Ising Models with Latent Conditional Gaussian Variables. - Lorenzo Dall'Amico
Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. - Henriette Röger, Ruben Mayer:
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing. - Pierre Fournier, Olivier Sigaud, Cédric Colas, Mohamed Chetouani:
CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments. - Rafael Reisenhofer, Emily J. King:
Edge, Ridge, and Blob Detection with Symmetric Molecules. - Corentin Tallec, Léonard Blier, Yann Ollivier:
Making Deep Q-learning methods robust to time discretization. - Alexandros Mittos, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro:
"And We Will Fight For Our Race!" A Measurement Study of Genetic Testing Conversations on Reddit and 4chan. - Yaping Sun, Zhiyong Chen, Meixia Tao, Hui Liu:
Bandwidth Gain from Mobile Edge Computing and Caching in Wireless Multicast Systems. - Mario Kieburg, Gernot Akemann, Giusi Alfano, Giuseppe Caire:
Closed-form performance analysis of linear MIMO receivers in general fading scenarios. - Parisa Babaheidarian, Mark Wallace:
Decode and Transfer: A New Steganalysis Technique via Conditional Generative Adversarial Networks. - Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp:
Fairwashing: the risk of rationalization. - Rodrigo Agerri, German Rigau:
Language Independent Sequence Labelling for Opinion Target Extraction. - Christian F. A. Negre, Hayato Ushijima-Mwesigwa, Susan M. Mniszewski:
Detecting Multiple Communities Using Quantum Annealing on the D-Wave System. - Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye:
CollaGAN : Collaborative GAN for Missing Image Data Imputation. - Zhe Zhou, Mingtian Tan:
Embedding is not Cipher: Understanding the risk of embedding leakages. - Hao Tang, Xinya Chen, Wei Wang, Dan Xu, Jason J. Corso, Nicu Sebe, Yan Yan:
Attribute-Guided Sketch Generation. - Yusuke Aoki, Kai Otsuki, Takeshi Kaneko, Ryohei Banno, Kazuyuki Shudo:
SimBlock: A Blockchain Network Simulator. - Milan Pultar, Dmytro Mishkin, Jiri Matas:
Leveraging Outdoor Webcams for Local Descriptor Learning. - Mario Bravetti, Saverio Giallorenzo, Jacopo Mauro, Iacopo Talevi, Gianluigi Zavattaro:
Optimal and Automated Deployment for Microservices. - Yunjuan Wang, Yong Deng:
OWA aggregation of multi-criteria with mixed uncertain fuzzy satisfactions. - Bin Wang, Angela Wang, Fenxiao Chen, Yuncheng Wang, C.-C. Jay Kuo:
Evaluating Word Embedding Models: Methods and Experimental Results. - David Kupeev:
AlteregoNets: a way to human augmentation. - Eric Goles, Pedro Montealegre, Martín Ríos-Wilson:
On the effects of firing memory in the dynamics of conjunctive networks. - Azzeddine Benabbou, Domitile Lourdeaux, Dominique Lenne:
A model for prohibition and obligation dilemmas generation in virtual environments. - Jun Wang, Sujoy Sikdar, Tyler Shepherd, Zhibing Zhao, Chunheng Jiang, Lirong Xia:
Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking. - Germán Díez-Valencia, Takuya Ohashi, Pablo Lanillos, Gordon Cheng:
Sensorimotor learning for artificial body perception. - Ekaterina Arafailova, Nicolas Beldiceanu, Helmut Simonis:
Synthesising a Database of Parameterised Linear and Non-Linear Invariants for Time-Series Constraints. - Mohammad Samin Yasar, David Evans, Homa Alemzadeh:
Context-aware Monitoring in Robotic Surgery. - Yefim Shulman, Joachim Meyer:
Is Privacy Controllable? - Lei Liu, Yuhao Chi, Chau Yuen, Yong Liang Guan, Ying Li:
Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection. - Tiziano Dalmonte, Charles Grellois, Nicola Olivetti:
Intuitionistic Non-Normal Modal Logics: A general framework. - Carl Allen
Analogies Explained: Towards Understanding Word Embeddings. - Fernando Pereira dos Santos, Leonardo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti:
Generalization of feature embeddings transferred from different video anomaly detection domains. - Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin:
Squeezed Very Deep Convolutional Neural Networks for Text Classification. - Haifeng Shi, Guanyu Cai, Yuqin Wang, Shaohua Shang, Lianghua He:
Virtual Conditional Generative Adversarial Networks. - Li Zhang:
Depth creates no more spurious local minima. - Hassam Ullah Sheikh, Ladislau Bölöni:
The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning. - Hassam Ullah Sheikh, Ladislau Bölöni:
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning. - Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar:
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization. - George Kesidis:
Temporal Overbooking of Lambda Functions in the Cloud. - Abbas Khalili, Farhad Shirani, Elza Erkip, Yonina C. Eldar:
Tradeoff Between Delay and High SNR Capacity in Quantized MIMO Systems. - Sai Praneeth Karimireddy, Quentin Rebjock, Sebastian U. Stich, Martin Jaggi:
Error Feedback Fixes SignSGD and other Gradient Compression Schemes. - Hanyu Shi, Martin Gerlach
A new evaluation framework for topic modeling algorithms based on synthetic corpora. - Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi:
Activation Adaptation in Neural Networks. - Jefferson Seide Molléri, Kai Petersen, Emilia Mendes:
An Empirically Evaluated Checklist for Surveys in Software Engineering. - Brian Brost, Rishabh Mehrotra, Tristan Jehan:
The Music Streaming Sessions Dataset. - Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas C. Raykar:
Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space. - Jasjeet Dhaliwal, Geoffrey So, Aleatha Parker-Wood, Mélanie Beck:
Utility Preserving Secure Private Data Release. - Ran Gelles, Yael Tauman Kalai, Govind Ramnarayan:
Efficient Multiparty Interactive Coding for Insertions, Deletions and Substitutions. - Matteo Cristani, Francesco Domenichini, Claudio Tomazzoli, Luca Viganò, Margherita Zorzi:
It could be worse, it could be raining: reliable automatic meteorological forecasting. - Sara Rouhani, Vahid Pourheidari, Ralph Deters:
Physical Access Control Management System Based on Permissioned Blockchain. - Niklas Hjuler, Giuseppe F. Italiano, Nikos Parotsidis, David Saulpic:
Dominating Sets and Connected Dominating Sets in Dynamic Graphs. - Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. - Yao-Chia Chan, Junge Wang, Syed Ali Jafar:
Towards an Extremal Network Theory - Robust GDoF Gain of Transmitter Cooperation over TIN. - Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
CoCoNet: A Collaborative Convolutional Network. - David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). - Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan:
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. - Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou:
Few-shot Learning with Meta Metric Learners. - Tao Hu
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification. - Xiaolei Liu, Yuheng Luo, Xiaosong Zhang, Qingxin Zhu:
A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm. - Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. - Andrew Melnik, Sascha Fleer
Modularization of End-to-End Learning: Case Study in Arcade Games. - Yazan H. Al-Badarneh, Costas N. Georghiades, Mohamed-Slim Alouini
Asymptotic Performance Analysis of Generalized User Selection for Interference-Limited Multiuser Secondary. - Chenguang Lu:
The CM Algorithm for the Maximum Mutual Information Classifications of Unseen Instances. - Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie:
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. - Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. - Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan, Maged Elkashlan:
Clustered Millimeter Wave Networks with Non-Orthogonal Multiple Access. - Nadi Sarrar:
On transaction parallelizability in Ethereum. - Emre O. Neftci, Hesham Mostafa, Friedemann Zenke:
Surrogate Gradient Learning in Spiking Neural Networks. - Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong:
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. - Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Qiang Dong, Maosong Sun, Zhendong Dong:
OpenHowNet: An Open Sememe-based Lexical Knowledge Base. - Dan Hendrycks, Kimin Lee, Mantas Mazeika:
Using Pre-Training Can Improve Model Robustness and Uncertainty. - Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Defense Methods Against Adversarial Examples for Recurrent Neural Networks. - Liyu Gong, Qiang Cheng:
Lie Group Auto-Encoder. - Felix Stephenson, Toby P. Breckon, Ioannis Katramados:
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation. - Jefferson L. P. Lima, David Macêdo, Cleber Zanchettin:
Heartbeat Anomaly Detection using Adversarial Oversampling. - Gustav Nilsson, Giacomo Como:
A Micro-Simulation Study of the Generalized Proportional Allocation Traffic Signal Control. - Yibo Xu, Kevin F. Kelly:
Compressed domain image classification using a multi-rate neural network. - Qimai Li
Generalized Label Propagation Methods for Semi-Supervised Learning. - Harini Suresh, John V. Guttag:
A Framework for Understanding Unintended Consequences of Machine Learning. - Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica:
The OoO VLIW JIT Compiler for GPU Inference. - Yi Ren, Steven Elliott, Yiwei Wang, Yezhou Yang, Wenlong Zhang:
How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving. - Jindan Xu, Wei Xu, Jun Zhu, Derrick Wing Kwan Ng, A. Lee Swindlehurst:
Secure Massive MIMO Communication with Low-resolution DACs. - Mauro Conti, Ankit Gangwal, Michele Todero:
Blockchain Trilemma Solver Algorand has Dilemma over Undecidable Messages. - Haifeng Wang:
A Boost Converter Design with Low Output Ripple Based on Harmonics Feedback. - Irmak Aykin, Ezhan Karasan:
An Activity Management Algorithm for Improving Energy Efficiency of Small Cell Base Stations in 5G Heterogeneous Networks. - Jung-yeon Baek, Georges Kaddoum, Sahil Garg, Kuljeet Kaur, Vivianne Gravel:
Managing Fog Networks using Reinforcement Learning Based Load Balancing Algorithm. - Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler:
PuppetGAN: Transferring Disentangled Properties from Synthetic to Real Images. - Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Network Motifs. - Jindan Xu, Wei Xu, Fengkui Gong, Hua Zhang, Xiaohu You:
Optimal Multiuser Loading in Quantized Massive MIMO under Spatially Correlated Channels. - Runfan Zhang, Branislav Hredzak:
A Novel Dynamic Peer-to-Peer Clustering Algorithm and Its Application to Aggregate Energy Storage Systems. - Yinlam Chow, Ofir Nachum, Aleksandra Faust, Mohammad Ghavamzadeh, Edgar A. Duéñez-Guzmán:
Lyapunov-based Safe Policy Optimization for Continuous Control. - Yanchao Yang, Alex Wong, Stefano Soatto:
Dense Depth Posterior (DDP) from Single Image and Sparse Range. - Umang Bhatt, Pradeep Ravikumar, José M. F. Moura:
Towards Aggregating Weighted Feature Attributions. - Shipeng Xie, Da Chen, Rong Zhang, Hui Xue:
Deep Features Analysis with Attention Networks. - Diptarama Hendrian, Takuya Takagi, Shunsuke Inenaga:
Online Algorithms for Constructing Linear-size Suffix Trie. - Jingxin Wu:
Resource Allocation in Multigranular Optical Networks. - Emilia Ciupan, Mihai Ciupan, Daniela-Corina Jucan:
Determining the Mechanical Properties of a New Composite Material Using Artificial Neural Networks. - Phokion G. Kolaitis, Lucian Popa, Kun Qian:
Knowledge Refinement via Rule Selection. - Bokun Wang, Ian Davidson:
Towards Fair Deep Clustering With Multi-State Protected Variables. - Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. - David H. Brookes, Hahnbeom Park, Jennifer Listgarten:
Conditioning by adaptive sampling for robust design. - Hongjing Zhang, Sugato Basu, Ian Davidson:
Deep Constrained Clustering - Algorithms and Advances. - Davino Mauro Junior, Luis Melo
Beware of the App! On the Vulnerability Surface of Smart Devices through their Companion Apps. - Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, Vikas Kumar:
Committee Selection with Attribute Level Preferences. - Xinyang Deng, Wen Jiang:
On the negation of a Dempster-Shafer belief structure based on maximum uncertainty allocation. - Rukayat Ayomide Erinfolami, Aravind Prakash:
DeClassifier: Class-Inheritance Inference Engine for Optimized C++ Binaries. - Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung:
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. - Sorour Mohajerani, Parvaneh Saeedi:
Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery. - Cameron Ruggles, Nate Veldt, David F. Gleich:
A Parallel Projection Method for Metric Constrained Optimization. - Zhixiong Chen, Qiuyan Wang:
On the k-error linear complexity of binary sequences derived from the discrete logarithm in finite fields. - Xiaojin Ding, Yulong Zou, Xiaoshu Chen, Xiaojun Wang, Lajos Hanzo:
Secrecy Outage and Diversity Analysis of Spectrum-Sharing Heterogeneous Wireless Systems. - Wei Jiang, Adam Bowers, Dan Lin:
Hiding in the Clouds and Building a Stealth Communication Network. - Manjing Fang, Di Xu, Xia Hong, Junbin Gao:
Sparse Least Squares Low Rank Kernel Machines. - Guangcong Wang, Jianhuang Lai, Zhenyu Xie, Xiaohua Xie:
Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification. - Sookyung Kim, Jungmin M. Lee, Jiwoo Lee, Jihoon Seo:
Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM. - Yanhao Wang, Yuchen Li, Kian-Lee Tan:
Semantic and Influence aware k-Representative Queries over Social Streams. - Hao Ren, Jianlin Su, Hong Lu:
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification. - Dongqi Han
Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN. - Robert Furber
Categorical Equivalences from State-Effect Adjunctions. 107-126 - Robert Rand
ReQWIRE: Reasoning about Reversible Quantum Circuits. 299-312 - Shanu Kumar, Shubham Atreja, Anjali Singh, Mohit Jain:
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues. - Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, Jiwei Li:
Glyce: Glyph-vectors for Chinese Character Representations. - Shashank Yadav, Tejas Shimpi, C. Ravindranath Chowdary, Prashant Sharma, Deepansh Agrawal, Shivang Agarwal:
Structuring an unordered text document. - Yuru Chen, Haitao Zhao, Zhengwei Hu:
Attention-based Context Aggregation Network for Monocular Depth Estimation. - Yaman Kumar, Shubham Maheshwari, Dhruva Sahrawat, Praveen Jhanwar, Vipin Chaudhary, Rajiv Ratn Shah, Debanjan Mahata:
Harnessing GANs for Addition of New Classes in VSR. - Kento Kawaharazuka, Toru Ogawa, Juntaro Tamura, Cota Nabeshima:
Dynamic Manipulation of Flexible Objects with Torque Sequence Using a Deep Neural Network. - Wolfgang Fuhl, Thomas C. Kübler, Rene Alexander Lotz, Gjergji Kasneci, Wolfgang Rosenstiel, Enkelejda Kasneci:
Validation loss for landmark detection. - Miao Xu
Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative. - Yves Vanaubel, Jean-Romain Luttringer, Pascal Mérindol, Jean-Jacques Pansiot, Benoit Donnet:
TNT, Watch me Explode: A Light in the Dark for Revealing MPLS Tunnels. - Behrooz Ghorbani, Shankar Krishnan, Ying Xiao:
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. - Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu:
Visual Rhythm Prediction with Feature-Aligning Network. - Fabio Cunial, Djamal Belazzougui:
Fully-functional bidirectional Burrows-Wheeler indexes. - Huoran Li:
A Systematic Analysis of Fine-Grained Human Mobility Prediction with On-Device Contextual Data. - Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-net Ensembled for Nuclei Segmentation. - Peizhao Li, Yanjing Li, Xiaolong Jiang, Xiantong Zhen:
Two-Stream Multi-Task Network for Fashion Recognition. - Yang Lu, Yiu-ming Cheung, Yuan Yan Tang:
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem. - Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng:
Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding. - Tal Ben-Nun, Maciej Besta, Simon Huber, Alexandros Nikolaos Ziogas, Daniel Peter, Torsten Hoefler:
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. - Mingbao Lin, Rongrong Ji, Hong Liu, Xiaoshuai Sun, Yongjian Wu, Yunsheng Wu:
Towards Optimal Discrete Online Hashing with Balanced Similarity. - Matthias Hofer, Lukas Spannagl, Raffaello D'Andrea:
Iterative Learning Control for Fast and Accurate Position Tracking with a Soft Robotic Arm. - Dima Taji, Jamila El Gizuli, Nizar Habash:
An Arabic Dependency Treebank in the Travel Domain. - Tomoya Ogata, Mamoru Komachi, Tomoya Takatani:
Divide and Generate: Neural Generation of Complex Sentences. - Hiteshwar Kumar Azad, Akshay Deepak:
A New Approach for Query Expansion using Wikipedia and WordNet. - Carl Henning Lubba, Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, Nick S. Jones:
catch22: CAnonical Time-series CHaracteristics. - Lukas Holzbaur, Hedongliang Liu, Sven Puchinger, Antonia Wachter-Zeh:
On Decoding and Applications of Interleaved Goppa Codes. - Nicolas Tremblay, Andreas Loukas:
Approximating Spectral Clustering via Sampling: a Review. - Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov:
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. - Rizanne Elbakly, Moustafa Youssef:
Crescendo: An Infrastructure-free Ubiquitous Cellular Network-based Localization System. - Ming-Siang Huang, Po-Ting Lai, Richard Tzong-Han Tsai, Wen-Lian Hsu:
Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task. - Emery D. Berger, Celeste Hollenbeck, Petr Maj, Olga Vitek, Jan Vitek:
On the Impact of Programming Languages on Code Quality. - Angelo Massimo Perillo, Giuseppe Persiano, Alberto Trombetta:
Secure selections on encrypted multi-writer streams. - Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo:
Multikernel activation functions: formulation and a case study. - Denis Volkhonskiy, Ekaterina A. Muravleva, Oleg Sudakov, Denis M. Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry A. Koroteev:
Reconstruction of 3D Porous Media From 2D Slices. - Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. - Hai Duong Nguyen, Soo-Hyung Kim:
Automatic Whole-body Bone Age Assessment Using Deep Hierarchical Features. - Muhammad Huzaifah, Lonce Wyse:
Applying Visual Domain Style Transfer and Texture Synthesis Techniques to Audio - Insights and Challenges. - James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King:
Explicit topological priors for deep-learning based image segmentation using persistent homology. - Jun Zhao, Ge Wang, Carys Dally, Petr Slovák, Julian Childs, Max Van Kleek, Nigel Shadbolt:
'I make up a silly name': Understanding Children's Perception of Privacy Risks Online. - Lê Thành Dung Nguyên:
Unique perfect matchings, edge-colored graphs and proof nets for linear logic with Mix. - Orr Krupnik, Igor Mordatch, Aviv Tamar:
Multi Agent Reinforcement Learning with Multi-Step Generative Models. - Xun Xu, Loong-Fah Cheong, Zhuwen Li:
Learning for Multi-Model and Multi-Type Fitting. - Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On the Expressive Power of Deep Fully Circulant Neural Networks. - Faiq Khalid, Hassan Ali
RED-Attack: Resource Efficient Decision based Attack for Machine Learning. - Harrie Oosterhuis, Maarten de Rijke:
Optimizing Ranking Models in an Online Setting. - Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum:
TiFi: Taxonomy Induction for Fictional Domains [Extended version]. - L. Elisa Celis, Vijay Keswani:
Implicit Diversity in Image Summarization. - Andreas Thom:
Approximation of functions by neural networks. - Wei Cui, Zhen Xue, Khanh-Phuong Thai:
Performance comparison of an AI-based Adaptive Learning System in China. - Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein:
Combined tract segmentation and orientation mapping for bundle-specific tractography. - Alessandro Renzaglia, Jilles Dibangoye, Vincent Le Doze, Olivier Simonin:
Multi-UAV Visual Coverage of Partially Known 3D Surfaces: Voronoi-based Initialization to Improve Local Optimizers. - Amjad Yousef Majid, Michel Jansen, Guillermo Ortas Delgado, Kasim Sinan Yildirim, Przemyslaw Pawelczak:
Multi-hop Backscatter Tag-to-Tag Networks. - Samuli Laine, Jaakko Lehtinen, Timo Aila:
Self-Supervised Deep Image Denoising. - Oshin Olesegun, Ryan Noraas, Michael Giering, Nagendra Somanath:
Structural Material Property Tailoring Using Deep Neural Networks. - Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Private Polynomial Computation for Noncolluding Coded Databases. - Nathalie Cauchi, Kurt Degiorgio, Alessandro Abate:
StocHy: automated verification and synthesis of stochastic processes. - Nikola Konstantinov, Christoph Lampert:
Robust Learning from Untrusted Sources. - Alejandro Acien, Aythami Morales, Rubén Vera-Rodríguez, Julian Fiérrez:
MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns. - Yuhui Wang, Hao He, Xiaoyang Tan, Yaozhong Gan:
Trust Region-Guided Proximal Policy Optimization. - Kai Jin, Jin-San Cheng:
On the Complexity of Computing the Topology of Real Algebraic Space Curves. - Okan Köpüklü, Ahmet Gunduz, Neslihan Kose, Gerhard Rigoll:
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks. - Michael P. Frank:
Physical Foundations of Landauer's Principle. - Martin Grohe, Daniel Neuen:
Canonisation and Definability for Graphs of Bounded Rank Width. - Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval. - Daniel Kottke, Jim Schellinger, Denis Huseljic, Bernhard Sick:
Limitations of Assessing Active Learning Performance at Runtime. - Heather L. Jones, Siri Maley, Mohammadreza Mousaei, David Kohanbash, Warren Whittaker, James P. Teza, Andrew Zhang, Nikhil Jog, William Whittaker:
A Robot for Nondestructive Assay of Holdup Deposits in Gaseous Diffusion Piping. - Arnab Poddar, Md. Sahidullah, Goutam Saha:
Quality Measures for Speaker Verification with Short Utterances. - Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. - Alexander Liefke, Vincent Marciniak, Uwe Janoske, Hanno Gottschalk:
Using adjoint CFD to quantify the impact of manufacturing variations on a heavy duty turbine vane. - Nils M. Kriege, Pierre-Louis Giscard, Franka Bause, Richard C. Wilson:
Computing Optimal Assignments in Linear Time for Graph Matching. - Federico Landi, Cees G. M. Snoek, Rita Cucchiara:
Anomaly Locality in Video Surveillance. - Philippe Balbiani, Tatyana Ivanova:
Representation theorems for extended contact algebras based on equivalence relations. - Peter Langenberg, Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar:
On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks. - Aradhana Nayak, Rodrigo Sato Martín de Almagro, Leonardo Colombo, David Martín de Diego:
Optimal Trajectory Tracking of Nonholonomic Mechanical Systems: a geometric approach. - Michael A. Burr, Kisun Lee, Anton Leykin:
Effective certification of approximate solutions to systems of equations involving analytic functions. - Nima Anari, Vijay V. Vazirani:
A Pseudo-Deterministic RNC Algorithm for General Graph Perfect Matching. - Meng Zhang, Jianwei Huang:
Efficient Network Sharing with Asymmetric Constraint Information. - Elad Romanov, Or Ordentlich:
Blind Unwrapping of Modulo Reduced Gaussian Vectors: Recovering MSBs from LSBs. - Marko Angjelichinoski, Taposh Banerjee, John S. Choi, Bijan Pesaran, Vahid Tarokh:
Minimax-optimal decoding of movement goals from local field potentials using complex spectral features. - Chang-Sik Choi, François Baccelli:
Spatial and Temporal Analysis of Direct Communications from Static Devices to Mobile Vehicles. - Ali Vatankhah Barenji, Hanyang Guo, Zonggui Tian, Zhi Li, Wai Ming Wang, George Q. Huang:
Blockchain-Based Cloud Manufacturing: Decentralization. - Thomas J. Ringstrom, Paul R. Schrater:
Constraint Satisfaction Propagation: Non-stationary Policy Synthesis for Temporal Logic Planning. - (Withdrawn) Guidelines for creating man-machine multimodal interfaces.
- Julian Renner, Sven Puchinger, Antonia Wachter-Zeh:
Interleaving Loidreau's Rank-Metric Cryptosystem. - Juncai He, Jinchao Xu:
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network. - Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek:
Sliced generative models. - Sameh M. Saad, Terrence D. Perera, Ruwan Wickramarachchi:
A structured approach for the implementation of distributed manufacturing simulation. - Dan Zhang, Anna Khoreva:
PA-GAN: Improving GAN Training by Progressive Augmentation. - Peter Mitrano
A Minimalistic Approach to Segregation in Robot Swarms. - Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis:
Geometric Matrix Completion with Deep Conditional Random Fields. - Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli:
Pay Less Attention with Lightweight and Dynamic Convolutions. - Jus Lozej, Dejan Stepec, Vitomir Struc, Peter Peer:
Influence of segmentation on deep iris recognition performance. - Yalin Liao, Aleksandar Vakanski, Min Xian:
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises. - Michele Merler, Nalini K. Ratha, Rogério Schmidt Feris, John R. Smith:
Diversity in Faces. - Piotr Sapiezynski, Wesley Zeng, Ronald E. Robertson, Alan Mislove, Christo Wilson:
Quantifying the Impact of User Attention on Fair Group Representation in Ranked Lists. - Robert Beverly, Mark Allman:
An Internet Heartbeat. - L. Elisa Celis, Vijay Keswani:
Improved Adversarial Learning for Fair Classification. - John Wieting, Douwe Kiela:
No Training Required: Exploring Random Encoders for Sentence Classification. - Yunlong Wang, Ahmed Fadhil, Harald Reiterer:
Health Behavior Change in HCI: Trends, Patterns, and Opportunities. - L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Fair Online Advertising. - Diego Díaz-Domínguez, Travis Gagie, Gonzalo Navarro:
Simulating the DNA String Graph in Succinct Space. - Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning:
Universal Dependency Parsing from Scratch. - Andreas Wedenborn, Preben Wik, Olov Engwall, Jonas Beskow:
The effect of a physical robot on vocabulary learning. - Vishrant Tripathi, Rajat Talak, Eytan H. Modiano:
Age of Information for Discrete Time Queues. - Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
Decoder-tailored Polar Code Design Using the Genetic Algorithm. - Sinan Kahraman
Non Binary Polar Codes with Equidistant Transform for Transmission over the AWGN Channel. - Stanley Bak, Kerianne Hobbs:
Efficient n-to-n Collision Detection for Space Debris using 4D AABB Trees (Extended Report). - Trond Linjordet, Krisztian Balog:
Impact of Training Dataset Size on Neural Answer Selection Models. - Yunhao Tang, Shipra Agrawal:
Discretizing Continuous Action Space for On-Policy Optimization. - Hao Wang, Berk Ustun, Flávio P. Calmon:
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. - Nic Ford, Justin Gilmer, Nicholas Carlini, Ekin Dogus Cubuk:
Adversarial Examples Are a Natural Consequence of Test Error in Noise. - Pascal Mettes, Elise van der Pol, Cees G. M. Snoek:
Hyperspherical Prototype Networks. - Sang Michael Xie, Stefano Ermon:
Differentiable Subset Sampling. - Ron Levie, Elvin Isufi, Gitta Kutyniok:
On the Transferability of Spectral Graph Filters. - Ameni Trabelsi, Mohamed Chaabane, Asa Ben-Hur:
Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities. - Yi Liu, Jiawen Peng, Zhihao Yu:
Big Data Platform Architecture Under The Background of Financial Technology. - Manik Sharma, Gurvinder Singh, Rajinder Singh:
An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders. - Faisal I. Qureshi:
Investigating Limit Order Book Characteristics for Short Term Price Prediction: a Machine Learning Approach. - Yasser F. Al-Eryani, Ekram Hossain, Dong In Kim:
Generalized Coordinated Multipoint (GCoMP)-Enabled NOMA: Outage, Capacity, and Power Allocation. - Arun Thundyill Saseendran, Lovish Setia, Viren Chhabria, Debrup Chakraborty, Aneek Barman Roy:
Impact of Data Pruning on Machine Learning Algorithm Performance. - Willem Penninckx, Amin Timany
Abstract I/O Specification. - Zhoutong Wang, Qianhui Liang, Fabio Duarte, Fan Zhang, Louis Charron, Lenna Johnsen, Bill Yang Cai, Carlo Ratti:
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations. - Otmane Azeroual, Horst Theel:
The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-Up Companies: A Case Study. - Radhakrishnan Balu, Ajinkya Borle:
Bayesian Networks based Hybrid Quantum-Classical Machine Learning Approach to Elucidate Gene Regulatory Pathways. - Osman Asif Malik, Stephen Becker:
Fast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch. - Tairan Liu, Marcio S. de Queiroz, Pengpeng Zhang, Milad Khaledyan:
Directed Formation Control of n Planar Agents with Distance and Area Constraints. - Sapan Agarwal, Diana Garland, John Niroula, Robin B. Jacobs-Gedrim, Alexander H. Hsia, Michael S. van Heukelom, Elliot J. Fuller, Bruce Draper, Matthew J. Marinella:
Using Floating Gate Memory to Train Ideal Accuracy Neural Networks. - Mohsen Heidari, S. Sandeep Pradhan, Ramji Venkataramanan:
Boolean Functions with Biased Inputs: Approximation and Noise Sensitivity. - Yuriy Syerov, Solomia Fedushko:
The Computer-Linguistic Analysis of Socio-Demographic Profile of Virtual Community Member. - Bestoun S. Ahmed, Miroslav Bures, Karel Frajták, Tomás Cerný:
Aspects of Quality in Internet of Things (IoT) Solutions: A Systematic Mapping Study. - Milan Jain, Mridula Gupta, Amarjeet Singh, Vikas Chandan:
Beyond Control: Enabling Smart Thermostats For Leakage Detection. - Morteza Taiebat, Austin L. Brown, Hannah R. Safford, Shen Qu, Ming Xu:
A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles. - Nikos Fotiou, George C. Polyzos:
Smart contracts for the Internet of Things: opportunities and challenges. - Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo:
Automatic end-to-end De-identification: Is high accuracy the only metric? - Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, Janardhan Rao Doppa, Partha Pratim Pande:
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach. - Henry Kvinge, Elin Farnell:
Rare geometries: revealing rare categories via dimension-driven statistics. - Mohamed Nassar
Throttling Malware Families in 2D. - Taieb Hamza, Georges Kaddoum:
Enhanced Minimal Scheduling Function for IEEE802.15.4e TSCH Networks. - Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu:
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend. - Daojing Guo, I-Hong Hou:
On the Credibility of Information Flows in Real-time Wireless Networks. - Charles G. Frye, Neha S. Wadia, Michael Robert DeWeese, Kristofer E. Bouchard:
Numerically Recovering the Critical Points of a Deep Linear Autoencoder. - Sébastien Bubeck, Yuanzhi Li, Haipeng Luo, Chen-Yu Wei:
Improved Path-length Regret Bounds for Bandits. - Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer:
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector. - Chenye Zhao, Myung Seok Shim, Yang Li, Xuchong Zhang, Peng Li:
Deep Neural Networks with Auxiliary-Model Regulated Gating for Resilient Multi-Modal Sensor Fusion. - Shale Xiong, Andrea Cerone, Azalea Raad, Philippa Gardner:
Data Consistency in Transactional Storage Systems: a Centralised Approach. - Muhammed O. Sayin, Tamer Basar:
Robust Sensor Design Against Multiple Attackers with Misaligned Control Objectives. - Tong Liu, Christopher M. Homan:
Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the Loop. - Sarin E. Chandy, Amin Rasekh:
Enhanced Variational Inference with Dyadic Transformation. - Muhammed O. Sayin, Chung-Wei Lin, Eunsuk Kang, Shinichi Shiraishi, Tamer Basar:
A Game Theoretical Error-Correction Framework for Secure Traffic-Sign Classification. - Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. - Abbas Khalili, Farhad Shirani, Elza Erkip, Yonina C. Eldar:
On Multiterminal Communication over MIMO Channels with One-bit ADCs at the Receivers. - Ryo Sugahara, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Computing runs on a trie. - Stan Gudder:
Contexts in Convex and Sequential Effect Algebras. 191-211 - Ziling Wu, Abdulaziz Alorf, Ting Yang, Ling Li, Yunhui Zhu:
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks. - Sara Rouhani, Luke Butterworth, Adam D. Simmons, Darryl G. Humphery, Ralph Deters:
MediChainTM: A Secure Decentralized Medical Data Asset Management System. - Qizhen Li:
An Actor-Critic Reinforcement Learning Method for Computation Offloading with Delay Constraints in Mobile Edge Computing. - Lan V. Truong, Jonathan Scarlett:
Support Recovery in the Phase Retrieval Model: Information-Theoretic Fundamental Limits. - Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr:
Adversarial Metric Attack for Person Re-identification. - Francisco Alejandro Mena, Ricardo Ñanculef:
Evaluating Bregman Divergences for Probability Learning from Crowd. - Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang:
Feature Concatenation Multi-view Subspace Clustering. - Paul Emmerich, Maximilian Pudelko, Simon Bauer, Georg Carle:
Writing User Space Network Drivers. - Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang:
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference. - Martin Hjelm, Carl Henrik Ek, Renaud Detry, Danica Kragic:
Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning. - Aditya Ramamoorthy, Li Tang, Pascal O. Vontobel:
Universally Decodable Matrices for Distributed Matrix-Vector Multiplication. - Janneke van de Loo, Jort F. Gemmeke, Guy De Pauw, Bart Ons, Walter Daelemans, Hugo Van hamme:
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models. - Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard:
End-to-end Learning for Early Classification of Time Series. - Casey Chu, Jose H. Blanchet, Peter W. Glynn:
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning. - Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro:
Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation. - Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher:
Online Pandora's Boxes and Bandits. - Naveed Iqbal, Waqas Ahmad, Christian Schneider, Reiner S. Thomä:
Lower Bound on the Sum-rate of Decremental Beam Selection Algorithm for Beamspace MIMO Systems. - Harukazu Igarashi, Yuichi Morioka, Kazumasa Yamamoto:
Learning Position Evaluation Functions Used in Monte Carlo Softmax Search. - Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang:
Learning Fast Matching Models from Weak Annotations. - Chih-Yuan Yang, Heeseung Yun, Jane Yung-jen Hsu:
Video Summarization through Human Detection on a Social Robot. - Simon T. Perrault, Weiyu Zhang:
Effects of Moderation and Opinion Heterogeneity on Attitude towards the Online Deliberation Experience. - Shanyun Liu, Yunquan Dong, Pingyi Fan, Rui She, Shuo Wan:
Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems. - Mitsuru Funakoshi, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Faster queries for longest substring palindrome after block edit. - Martha Lewis:
Compositionality for Recursive Neural Networks. - Jean-Guillaume Dumas
LU factorization with errors. - Sergiy Bogomolov, Marcelo Forets, Goran Frehse, Kostiantyn Potomkin, Christian Schilling:
JuliaReach: a Toolbox for Set-Based Reachability. - Jean-Yves Franceschi, Aymeric Dieuleveut
Unsupervised Scalable Representation Learning for Multivariate Time Series. - Pasquale De Luca, Vincezo Maria Russiello, Raffaele Ciro Sannino, Lorenzo Valente:
A study for Image compression using Re-Pair algorithm. - Louis Martin, Samuel Humeau, Pierre-Emmanuel Mazaré, Antoine Bordes, Éric Villemonte de la Clergerie, Benoît Sagot:
Reference-less Quality Estimation of Text Simplification Systems. - Kemal Alkin Gunbay, Mert Arikan, Mehmet Türkan:
Autonomous Cars: Vision based Steering Wheel Angle Estimation. - Maria Cruz Varona, Raphael Gebhart, Julian Suk, Boris Lohmann:
Practicable Simulation-Free Model Order Reduction by Nonlinear Moment Matching. - Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan:
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. - Dimche Kostadinov, Behrooz Razeghi, Taras Holotyak, Slava Voloshynovskiy:
Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment. - A. Batou:
An approximate Itô-SDE based simulated annealing algorithm for multivariate design optimization problems. - Theodore Tsesmelis, Irtiza Hasan, Marco Cristani, Alessio Del Bue, Fabio Galasso:
Human-centric light sensing and estimation from RGBD images: The invisible light switch. - Jörg Endrullis, Jan Willem Klop, Roy Overbeek:
Decreasing Diagrams for Confluence and Commutation. - Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, Ivan V. Oseledets:
Tensorized Embedding Layers for Efficient Model Compression. - Gal Katzhendler, Daphna Weinshall:
Blurred Images Lead to Bad Local Minima. - Allan Grønlund, Kasper Green Larsen, Alexander Mathiasen:
Optimal Minimal Margin Maximization with Boosting. - Radhesh Krishnan Konoth, Rolf van Wegberg, Veelasha Moonsamy, Herbert Bos:
Malicious cryptocurrency miners: Status and Outlook. - Heather L. Jones, Siri Maley, Kenji Yonekawa, Mohammadreza Mousaei, J. David Yesso, David Kohanbash, William Whittaker:
Automated Analysis, Reporting, and Archiving for Robotic Nondestructive Assay of Holdup Deposits. - Ori Tal, Doron Friedman:
Recurrent Neural Networks for P300-based BCI. - Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth:
Deep Archetypal Analysis. - Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets:
Generalized Tensor Models for Recurrent Neural Networks. - Md Ashraful Alam Milton:
Automated Skin Lesion Classification Using Ensemble of Deep Neural Networks in ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection Challenge. - Samad Noeiaghdam:
Numerical approximation of modified non-linear SIR model of computer viruses. - Yehuda Dar, Alfred M. Bruckstein:
Benefiting from Duplicates of Compressed Data: Shift-Based Holographic Compression of Images. - Mohamad Yaser Jaradeh, Sören Auer, Manuel Prinz, Viktor Kovtun, Gábor Kismihók, Markus Stocker:
Open Research Knowledge Graph: Towards Machine Actionability in Scholarly Communication. - Mauricio Toro:
A General Overview of Formal Languages for Individual-Based Modelling of Ecosystems. - Alireza Nejadettehad, Hamid Mahini, Behnam Bahrak:
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks. - Babajide O. Ayinde, Keishin Nishihama, Jacek M. Zurada:
Diversity Regularized Adversarial Learning. - Thomas Wiegart, Tobias Prinz, Fabian Steiner, Peihong Yuan:
Design of Polar Codes for Parallel Channels with an Average Power Constraint. - Yusuke Fujimoto, Tianchi Chen:
On the Coordinate Change to the First-Order Spline Kernel for Regularized Impulse Response Estimation. - Sanjit Bhowmick, Alexandre Fotue Tabue, Edgar Martínez-Moro, Ramakrishna Bandi, Satya Bagchi:
Do non-free LCD codes over finite commutative Frobenius rings exist? - Alexandre Louis Lamy, Ziyuan Zhong, Aditya Krishna Menon, Nakul Verma:
Noise-tolerant fair classification. - Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
View Invariant 3D Human Pose Estimation. - Matthias Bentert, Piotr Skowron:
Comparing Election Methods Where Each Voter Ranks Only Few Candidates. - Alessandro Betti, Maria Luisa Lo Trovato, Fabio Salvatore Leonardi, Giuseppe Leotta, Fabrizio Ruffini, Ciro Lanzetta:
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach. - Adi Shamir, Itay Safran, Eyal Ronen, Orr Dunkelman:
A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance. - Russell Buchanan, Tirthankar Bandyopadhyay, Marko Bjelonic, Lorenz Wellhausen, Marco Hutter, Navinda Kottege:
Walking Posture Adaptation for Legged Robot Navigation in Confined Spaces. - Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra B. Slavkovic:
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. - Sacha Servan-Schreiber, Olga Ohrimenko, Tim Kraska, Emanuel Zgraggen:
Custodes: Auditable Hypothesis Testing. - Aleksandr G. Dodonov, Dmitry V. Lande, Vitaliy V. Tsyganok, Oleh V. Andriichuk, Sergii V. Kadenko, Anastasia N. Graivoronskaya:
Information Operations Recognition: from Nonlinear Analysis to Decision-making. - (Withdrawn) Span Based Open Information Extraction.
- Gabi Pragier, Yoel Shkolnisky:
A common lines approach for ab-initio modeling of cyclically-symmetric molecules. - Jiaojiao Zhao, Jungong Han, Ling Shao, Cees G. M. Snoek:
Pixelated Semantic Colorization. - Robin Adams, Sibylle Schupp:
Constructing Independently Verifiable Privacy-Compliant Type Systems for Message Passing between Black-Box Components. - Thomas A. Courtade:
Transportation Proof of an inequality by Anantharam, Jog and Nair. - Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Yang Wu, Bing Zheng, Ping Lin:
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation. - Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada:
On Correlation of Features Extracted by Deep Neural Networks. - Xucong Zhang, Yusuke Sugano, Andreas Bulling:
Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications. - Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Motaz Al Farraj, Zhen Wang, Asjad Amin, Mohamed A. Deriche, Ghassan AlRegib:
Characterization of migrated seismic volumes using texture attributes: a comparative study. - Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal:
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. - Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun:
Benchmarking Classic and Learned Navigation in Complex 3D Environments. - David Mguni, Joel Jennings, Sergio Valcarcel Macua, Emilio Sison, Sofia Ceppi, Enrique Munoz de Cote:
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. - Stefan D. Bruda, Sunita Singh, A. F. M. Nokib Uddin, Zhiyu Zhang, Rui Zuo:
A Constructive Equivalence between Computation Tree Logic and Failure Trace Testing. - Peter T. Breuer:
Safe Compilation for Hidden Deterministic Hardware Aliasing and Encrypted Computing. - Poulmanogo Illy, Georges Kaddoum, Christian Miranda Moreira, Kuljeet Kaur, Sahil Garg:
Securing Fog-to-Things Environment Using Intrusion Detection System Based On Ensemble Learning. - Joy Arulraj, Andy Pavlo, Krishna Teja Malladi:
Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. - Yukai Liu, Rose Yu, Stephan Zheng, Eric Zhan, Yisong Yue:
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation. - David Noever:
Classifier Suites for Insider Threat Detection. - Simon Chadwick, Will Maddern, Paul Newman:
Distant Vehicle Detection Using Radar and Vision. - Tariq Alshawi, Zhiling Long, Ghassan AlRegib:
Understanding spatial correlation in eye-fixation maps for visual attention in videos. - M. H. van Emden:
Egyptian multiplication and some of its ramifications. - André Barreto, Diana Borsa, John Quan, Tom Schaul, David Silver, Matteo Hessel, Daniel J. Mankowitz, Augustin Zídek, Rémi Munos:
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement. - Léni K. Le Goff, Ghanim Mukhtar, Alexandre Coninx, Stéphane Doncieux:
Bootstrapping Robotic Ecological Perception from a Limited Set of Hypotheses Through Interactive Perception. - Martino Borello, Javier de la Cruz, Wolfgang Willems:
On checkable codes in group algebras. - Lorenzo Bottarelli, Alessandro Farinelli:
A QUBO Model for Gaussian Process Variance Reduction. - Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Go-Explore: a New Approach for Hard-Exploration Problems. - Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha:
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. - Kangquan Li, Longjiang Qu, Bing Sun, Chao Li:
New Results about the Boomerang Uniformity of Permutation Polynomials. - James Usevitch, Dimitra Panagou:
Determining r- and (r, s)-Robustness of Digraphs Using Mixed Integer Linear Programming. - Mirai Ikebuchi, Keisuke Nakano:
On properties of B-terms. - Shaull Almagor, Joël Ouaknine, James Worrell:
The Semialgebraic Orbit Problem. - Richard Hugh Moulton
The Wilderness Area Data Set: Adapting the Covertype data set for unsupervised learning. - Thieu N. Vo, Yi Zhang:
Rational Solutions of First-Order Algebraic Ordinary Difference Equations. - Markus D. Steinberg:
Software solutions for form-based collection of data and the semantic enrichment of form data. - Neale Ratzlaff, Fuxin Li:
HyperGAN: A Generative Model for Diverse, Performant Neural Networks. - Mohammad G. Khoshkholgh, Victor C. M. Leung:
Delay Analysis of Spatially-Coded MIMO-ZFBF with Retransmissions in Random Networks. - Mohammad G. Khoshkholgh, Keivan Navaie, Kang G. Shin, Victor C. M. Leung, Halim Yanikomeroglu:
Caching or No Caching in Dense HetNets? - Alex Walsh, James Richard Forbes:
Interior-Conic Polytopic Systems Analysis and Control. - Adrián Bazaga, Mònica Roldán, Carmen Badosa, Cecilia Jiménez-Mallebrera, Josep M. Porta:
A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophies. - Idris Jeelani, Khashayar Asadi, Hariharan Ramshankar, Kevin K. Han, Alex Albert:
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications. - Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner:
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. - Clare Lyle, Pablo Samuel Castro, Marc G. Bellemare:
A Comparative Analysis of Expected and Distributional Reinforcement Learning. - David Landaeta:
Neuroevolution with Perceptron Turing Machines. - Kevin de Haan, Zachary S. Ballard, Yair Rivenson, Yichen Wu, Aydogan Ozcan:
Resolution enhancement in scanning electron microscopy using deep learning. - Muhammad Amir Shafiq, Zhiling Long, Tariq Alshawi, Ghassan AlRegib:
Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons. - Daniel W. Barowy, Emery D. Berger, Benjamin G. Zorn:
ExceLint: Automatically Finding Spreadsheet Formula Errors. - Derya Malak, Muriel Médard, Edmund M. Yeh:
Spatial Soft-Core Caching. - Ananth Narayan Samudrala, M. Hadi Amini, Soummya Kar
Optimal Sensor Placement for Topology Identification in Smart Power Grids. - Himanshu Tyagi, Shun Watanabe:
A New Proof of Nonsignalling Multiprover Parallel Repetition Theorem. - Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu:
Texture-Aware Superpixel Segmentation. - Narayan Hegde, Jason D. Hipp, Yun Liu
Similar Image Search for Histopathology: SMILY. - David Landaeta:
Code Farming: A Process for Creating Generic Computational Building Blocks. - David R. So, Chen Liang, Quoc V. Le:
The Evolved Transformer. - Ke Li, Zilin Xiang, Kay Chen Tan:
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. - Matthew J. P. Walker, Jason Helge Anderson:
Generic Connectivity-Based CGRA Mapping via Integer Linear Programming. - Jian Wang, Srinivas Peeta, Lili Lu, Tao Li:
Multiclass Information Flow Propagation Control under Vehicle-to-Vehicle Communication Environments. - Emiel Hoogeboom, Rianne van den Berg, Max Welling:
Emerging Convolutions for Generative Normalizing Flows. - Matthew R. Kirchner:
A Level Set Approach to Online Sensing and Trajectory Optimization with Time Delays. - Forest Yang, Sanmi Koyejo:
On the Consistency of Top-k Surrogate Losses. - Tijana Zrnic, Moritz Hardt:
Natural Analysts in Adaptive Data Analysis. - Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer:
Memory-Efficient Adaptive Optimization for Large-Scale Learning. - Ya Ju Fan, Jonathan E. Allen, Sam Ade Jacobs, Brian C. Van Essen:
Distinguishing between Normal and Cancer Cells Using Autoencoder Node Saliency. - Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang, Xiaojun Tong:
Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images. - Jane Im, Eshwar Chandrasekharan, Jackson Sargent, Paige Lighthammer, Taylor Denby, Ankit Bhargava, Libby Hemphill, David Jurgens, Eric Gilbert:
Still out there: Modeling and Identifying Russian Troll Accounts on Twitter. - Cleison Correia de Amorim, David Macêdo, Cleber Zanchettin:
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. - Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song:
A Generalized Language Model in Tensor Space. - Anahita Hosseini, Majid Sarrafzadeh:
Unsupervised Prediction of Negative Health Events Ahead of Time. - Anusha Lalitha, Osman Cihan Kilinc, Tara Javidi, Farinaz Koushanfar:
Peer-to-peer Federated Learning on Graphs. - Rafal Pilarczyk, Xin Chang, Wladyslaw Skarbek:
Human Face Expressions from Images - 2D Face Geometry and 3D Face Local Motion versus Deep Neural Features. - Mark O. Riedl:
Human-Centered Artificial Intelligence and Machine Learning. - Rafal Pilarczyk, Wladyslaw Skarbek:
On Intra-Class Variance for Deep Learning of Classifiers. - Houpu Yao
Improving Model Robustness with Transformation-Invariant Attacks. - Caiyong Wang, Yuhao Zhu, Yunfan Liu, Ran He, Zhenan Sun:
Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework. - Jason W. Wei, Kai Zou:
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks. - Koji Tabata, Atsuyoshi Nakamura, Junya Honda, Tamiki Komatsuzaki:
A Bad Arm Existence Checking Problem. - Mingming Zhang, Quan Zhou, Yan-lang Hu:
A lossless data hiding scheme in JPEG images with segment coding. - Matheus Henrique Junqueira Saldanha, Paulo Sergio Lopes de Souza:
High Performance Algorithms for Counting Collisions and Pairwise Interactions. - Joseph Paul Cohen, Paul Bertin, Vincent Frappier:
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System. - Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search. - Tianyu Shi, Pin Wang, Ching-Yao Chan, Chonghao Zou:
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle. - Muhammad Raza Khan, Joshua E. Blumenstock:
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty. - Alberto Sonnino, Shehar Bano, Mustafa Al-Bassam, George Danezis:
Replay Attacks and Defenses against Cross-shard Consensus in Sharded Distributed Ledgers. - Ingo Weber, Qinghua Lu, An Binh Tran, Amit Deshmukh, Marek Górski, Markus Strazds:
A Platform Architecture for Multi-Tenant Blockchain-Based Systems. - Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly:
VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. - Tatsuya Sato, Yosuke Himura, Jun Nemoto:
Design and Evaluation of Smart-Contract-based System Operations for Permissioned Blockchain-based Systems. - Yichen Wu, Yair Rivenson, Hongda Wang, Yilin Luo, Eyal Ben-David, Aydogan Ozcan:
Three-dimensional propagation and time-reversal of fluorescence images. - Xuefei Zhe, Le Ou-Yang, Shifeng Chen, Hong Yan:
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval. - Evripidis Bampis, Bruno Escoffier, Alexandre Teiller:
Multistage Knapsack. - Tobias Weber, Dieter Kranzlmüller:
Methods to Evaluate Lifecycle Models for Research Data Management. - Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichene
Improving Evolutionary Strategies with Generative Neural Networks. - Matthieu Geist, Bruno Scherrer, Olivier Pietquin:
A Theory of Regularized Markov Decision Processes. - Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linarès:
Conversational Networks for Automatic Online Moderation. - Keisuke Okumura, Manao Machida, Xavier Défago, Yasumasa Tamura:
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding. - Sascha Wirges, Marcel Reith-Braun, Martin Lauer, Christoph Stiller:
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps. - Rahul Jain, Raghunath Tewari:
Reachability in High Treewidth Graphs. - Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodíiguez, Amparo Alonso-Betanzos:
Distributed Correlation-Based Feature Selection in Spark. - Thanh-Ha Le, Philippe Gilberton, Ngoc Q. K. Duong:
Discriminate natural versus loudspeaker emitted speech. - Wei Zhao, Ling-Ze Bu:
Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models. - Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys:
Hyperbox based machine learning algorithms: A comprehensive survey. - Mai Alzamel, Maxime Crochemore, Costas S. Iliopoulos, Tomasz Kociumaka, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Quasi-Linear-Time Algorithm for Longest Common Circular Factor. - Laltu Sardar, Sushmita Ruj:
The Secure Link Prediction Problem. - Christian J. Walder, Richard Nock, Cheng Soon Ong, Masashi Sugiyama:
New Tricks for Estimating Gradients of Expectations. - Ho Bae, Dahuin Jung, Sungroh Yoon:
AnomiGAN: Generative adversarial networks for anonymizing private medical data. - Xianghao Yu, Jun Zhang, Robert Schober, Khaled Ben Letaief:
A Tractable Framework for Coverage Analysis of Cellular-Connected UAV Networks. - Ioana Suciu, Xavier Vilajosana, Ferran Adelantado:
Aggressive Fragmentation Strategy for Enhanced Network Performance in Dense LPWANs. - Masahiro Kobayashi, Kazuho Watanabe:
Generalized Dirichlet-process-means for f-separable distortion measures. - Victoria Mingote, Antonio Miguel, Alfonso Ortega, Eduardo Lleida:
Optimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification. - Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus:
Unsupervised Text Style Transfer via Iterative Matching and Translation. - Gaétan J. D. R. Hains, Arvid Jakobsson, Youry Khmelevsky:
Formal methods and software engineering for DL. Security, safety and productivity for DL systems development. - Fabian Isensee, Marianne Schell, Irada Tursunova, Gianluca Brugnara, David Bonekamp, Ulf Neuberger, Antje Wick, Heinz-Peter Schlemmer, Sabine Heiland, Wolfgang Wick, Martin Bendszus, Klaus Hermann Maier-Hein, Philipp Kickingereder:
Automated brain extraction of multi-sequence MRI using artificial neural networks. - Ya Li, Xinyu Liu, Dan Liu, Xueqiang Zhang, Junhua Liu:
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory. - Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama:
Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization. - Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Deep Learning for Inverse Problems: Bounds and Regularizers. - Evgeniy V. Martyushev, Bo Li:
Efficient Relative Pose Estimation for Cameras and Generalized Cameras in Case of Known Relative Rotation Angle. - Harryanto, Muchriana Muchran, Ansari Saleh Ahmar:
Application of TAM model to the use of information technology. - Thomas Zenkel, Joern Wuebker, John DeNero:
Adding Interpretable Attention to Neural Translation Models Improves Word Alignment. - Joshua Batson, Loïc Royer:
Noise2Self: Blind Denoising by Self-Supervision. - Tanuj Hasija, Christian Lameiro, Timothy Marrinan, Peter J. Schreier:
Determining the Dimension and Structure of the Subspace Correlated Across Multiple Data Sets. - Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. - Giacomo Rocco, Gianmaria Silvello:
An InfoVis Tool for Interactive Component-Based Evaluation. - Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom:
Learning and Evaluating General Linguistic Intelligence. - Franz Stewart V. Dizon, Stephen Kyle R. Farinas, Reynaldo John Tristan H. Mahinay Jr., Harry S. Pardo, Cecil Jose A. Delfinado:
Learning of High Dengue Incidence with Clustering and FP-Growth Algorithm using WHO Historical Data. - Yijun Tian:
TUNet: Incorporating segmentation maps to improve classification. - Monika Sharma, Abhishek Verma, Lovekesh Vig:
Learning to Clean: A GAN Perspective. - Rohit Rahul, Shubham Paliwal
Automatic Information Extraction from Piping and Instrumentation Diagrams. - Isabela Albuquerque, João Monteiro, Tiago H. Falk:
Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation. - Zhihao Cao, Xinxin Zhang:
Tree Recognition APP of Mount Tai Based on CNN. - Christopher P. Burgess, Loïc Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matthew M. Botvinick, Alexander Lerchner:
MONet: Unsupervised Scene Decomposition and Representation. - Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh:
Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks. - Hadi Amirpour, António M. G. Pinheiro, Manuela Pereira, Mohammad Ghanbari:
Fast and Efficient Lenslet Image Compression. - Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, Robert Pless:
Hotels-50K: A Global Hotel Recognition Dataset. - Zahra Sadeghi:
Visual Categorization of Objects into Animal and Plant Classes Using Global Shape Descriptors. - Kai Sheng Tai, Peter Bailis, Gregory Valiant:
Equivariant Transformer Networks. - Daniel Schwabe, Carlos Laufer, Antonio José G. Busson:
Building Knowledge Graphs About Political Agents in the Age of Misinformation. - Vighnesh Birodkar, Hossein Mobahi, Samy Bengio:
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need. - Gabriel Radanne, Jérôme Vouillon, Vincent Balat:
Eliom: A Language for Modular Tierless Web Programming. - Michalis Michaelides, Jane Hillston, Guido Sanguinetti:
Geometric fluid approximation for general continuous-time Markov chains. - Francisco Javier García Gómez
Statistics of the Nonlinear Discrete Spectrum of a Noisy Pulse. - Shay Perera, Ayellet Tal, Lihi Zelnik-Manor:
Is Image Memorability Prediction Solved? - Zhuangkun Wei, Weisi Guo, Bin Li, Jérôme Charmet, Chenglin Zhao:
High-dimensional Metric Combining for Non-coherent Molecular Signal Detection. - Venkata Subrahmanyan Govindarajan, Benjamin Van Durme, Aaron Steven White:
Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. - Lucas Lehnert, Michael L. Littman:
Successor Features Support Model-based and Model-free Reinforcement Learning. - William L. Romine, Tanvi Banerjee, Garrett Goodman:
Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures. - Jason W. Wei, Jerry W. Wei, Christopher R. Jackson, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour:
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach. - Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales:
Feature-Critic Networks for Heterogeneous Domain Generalization. - Amir Leshem, Uri Erez:
The Interference Channel Revisited: Eliminating Interference with a Two Antenna Receiver. - Jörg P. Bachmann:
The SuperM-Tree: Indexing metric spaces with sized objects. - Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. - Jarek Duda:
Improving SGD convergence by tracing multiple promising directions and estimating distance to minimum. - Mayank Sharma, Aayush Yadav, Sumit Soman, Jayadeva:
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise. - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification. - Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger:
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. - Raffaele Piccini, Gerasimos Spanakis:
Exploring the context of recurrent neural network based conversational agents. - Sixie Yu, Yevgeniy Vorobeychik:
Distributionally Robust Removal of Malicious Nodes from Networks. - Bo Wang, Hao Hu, Caixia Zhang:
New insights on Multi-Solution Distribution of the P3P Problem. - Wouter Leeftink, Gerasimos Spanakis:
Towards Controlled Transformation of Sentiment in Sentences. - Sabah Al-Fedaghi:
User Interface as a Thinging Machine. - Amarnath R, P. Nagabhushan:
Text line Segmentation in Compressed Representation of Handwritten Document using Tunneling Algorithm. - Francesco Foglino, Matteo Leonetti:
An Optimization Framework for Task Sequencing in Curriculum Learning. - Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang:
LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics. - Laurent-Stéphane Didier, Fangan-Yssouf Dosso, Pascal Véron:
Efficient and secure modular operations using the Adapted Modular Number System. - AbdElRahman ElSaid, John Nordlie, Fatima El Jamiy:
A test bed for measuring UAV servo reliability. - Jason W. Wei, Laura J. Tafe, Yevgeniy A. Linnik, Louis J. Vaickus, Naofumi Tomita, Saeed Hassanpour:
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks. - Kushal Chawla, Kundan Krishna, Balaji Vasan Srinivasan:
Improving generation quality of pointer networks via guided attention. - Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi:
Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model. - Xianglei Xing, Song-Chun Zhu, Ying Nian Wu:
Inducing Sparse Coding and And-Or Grammar from Generator Network. - Tiago Massoni, Nilton Ginani, Wallison Silva, Zeus Barros, Georgia Moura:
Relating Voluntary Turnover with Job Characteristics, Satisfaction and Work Exhaustion - An Initial Study with Brazilian Developers. - Anirudh Vemula, Wen Sun, J. Andrew Bagnell:
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective. - Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
Multi-Task Deep Neural Networks for Natural Language Understanding. - Desong Bian, Murat Kuzlu, Manisa Pipattanasomporn, Saifur Rahman, Di Shi:
Performance Evaluation of Communication Technologies and Network Structure for Smart Grid Applications. - Willie Neiswanger, Kirthevasan Kandasamy, Barnabás Póczos, Jeff Schneider, Eric P. Xing:
ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization. - Daniel Fett, Pedram Hosseyni, Ralf Küsters:
An Extensive Formal Security Analysis of the OpenID Financial-grade API. - Robert Dadashi, Adrien Ali Taïga, Nicolas Le Roux, Dale Schuurmans, Marc G. Bellemare:
The Value Function Polytope in Reinforcement Learning. - Kory W. Mathewson, Pablo Samuel Castro, Colin Cherry, George F. Foster, Marc G. Bellemare:
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue. - Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin:
Visual Hindsight Experience Replay. - Marc G. Bellemare, Will Dabney, Robert Dadashi, Adrien Ali Taïga, Pablo Samuel Castro, Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, Clare Lyle:
A Geometric Perspective on Optimal Representations for Reinforcement Learning. - Emmanuel Abbe, Min Ye:
Reed-Muller codes polarize. - Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti:
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. - Hyomin Choi, Ivan V. Bajic:
Deep Frame Prediction for Video Coding. - Nozomi Okano, Masaru Higashi, Akira Ishii:
The Influence of Social Media Writing on Online Search Behavior for Seasonal Events: The Sociophysics Approach. - Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler:
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. - Shuang Xu, Chun-Xia Zhang, Jiang-She Zhang:
Adaptive Quantile Low-Rank Matrix Factorization. - Milan Vojnovic, Seyoung Yun, Kaifang Zhou:
Convergence Rates of Gradient Descent and MM Algorithms for Generalized Bradley-Terry Models. - Eduard Rohan, Vladimír Lukes:
Homogenization of the vibro-acoustic transmission on perforated plates. - Lev V. Utkin, Andrei V. Konstantinov, Viacheslav S. Chukanov, Mikhail V. Kots, Mikhail A. Ryabinin, Anna A. Meldo:
A weighted random survival forest. - Shenhao Wang, Jinhua Zhao:
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data. - Yong Zhang, Bin Yang, Xiaohu Ge, Yonghui Li:
Performance Analysis of Non-Orthogonal Multicast in Two-tier Heterogeneous Networks. - Kai Chen, Jing Yang, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Energy Efficiency Optimization of Generalized Spatial Modulation with Sub-Connected Hybrid Precoding. - Yan Wang, Xuelei Sherry Ni, Brian Stone:
An Automatic Interaction Detection Hybrid Model for Bankcard Response Classification. - Han-Wen Kuo
Geometry and Symmetry in Short-and-Sparse Deconvolution. - Dong Xia:
Data-dependent Confidence Regions of Singular Subspaces. - Alexandr Kazda, Jakub Oprsal, Matt Valeriote
Deciding the existence of minority terms. - Maciej Skorski:
Kernel Density Estimation Bias under Minimal Assumptions. - Konrad K. Dabrowski, Matthew Johnson, Daniël Paulusma:
Clique-Width for Hereditary Graph Classes. - Andrew Elliott
Anomaly Detection in Networks with Application to Financial Transaction Networks. - Peter Schulam, Suchi Saria:
Auditing Pointwise Reliability Subsequent to Training. - Hao Wu, Hancheng Lu:
Delay and Power Consumption Tradeoff in Cache-enabled Dense Small Cell Networks: A Generalized Benders Decomposition Approach. - Teimour Hosseinalizadeh, Seyed Mahmoud Salamati, Seyed Ali Salamati, Gevork B. Gharehpetian:
Improvement of Identification Procedure Using Hybrid Cuckoo Search Algorithm for TurbineGovernor and Excitation System. - Ari Pakman, Liam Paninski:
Discrete Neural Processes. - Gustav Mårtensson, Daniel Ferreira, Lena Cavallin, J.-Sebastian Muehlboeck, Lars-Olof Wahlund, Chunliang Wang, Eric Westman:
AVRA: Automatic Visual Ratings of Atrophy from MRI images using Recurrent Convolutional Neural Networks. - Patrick Forré, Joris M. Mooij:
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias. - Youngjun Cho, Simon J. Julier, Nadia Bianchi-Berthouze:
Instant Automated Inference of Perceived Mental Stress through Smartphone PPG and Thermal Imaging. - Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, Ming Shao:
Cost-sensitive Selection of Variables by Ensemble of Model Sequences. - Diogo Lopes, Stéphane Clain, António Ramires Fernandes
Parameters identification method for breast biomechanical numerical model. - Andrew M. Childs, Yuan Su:
Nearly optimal lattice simulation by product formulas. - Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Finite rate distributed weight-balancing and average consensus over digraphs. - Xin He, Junhui Wang:
Sparse Learning in reproducing kernel Hilbert space. - Zhongjian Wang, Zhiwen Zhang:
A mesh-free method for interface problems using the deep learning approach. - R. Dharmarajan, D. Ramachandran:
A modified greedy algorithm to improve bounds for the vertex cover number. - Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff:
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections. - Ulrich Pferschy, Joachim Schauer, Clemens Thielen:
The Product Knapsack Problem: Approximation and Complexity. - Annette Hofmann, Spencer Wheatley, Didier Sornette:
Heavy-Tailed Data Breaches in the Nat-Cat Framework & the Challenge of Insuring Cyber Risks. - Polina Lemenkova
Topology, homogeneity and scale factors for object detection: application of eCognition software for urban mapping using multispectral satellite image. - Nikolay Stulov, Dejan J. Sobajic, Yury Maximov, Deepjyoti Deka, Michael Chertkov:
Learning a Generator Model from Terminal Bus Data. - Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stéphane Deny:
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs. - Andrew M. Childs, Jin-Peng Liu:
Quantum spectral methods for differential equations. - Janet Leahy, Dave Touchette, Penghui Yao:
Quantum Insertion-Deletion Channels. - Wan-Ping Nicole Chen, Yuan-chin Ivan Chang:
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation. - Adel Javanmard, Hamid Nazerzadeh, Simeng Shao:
Multi-Product Dynamic Pricing in High-Dimensions with Heterogenous Price Sensitivity. - Vishal Vaibhav:
Darboux Transformation: New Identities. - Mingjie Feng, Shiwen Mao:
Dealing with Limited Backhaul Capacity in Millimeter Wave Systems: A Deep Reinforcement Learning Approach. - Mengshuo Jia, Chen Shen, Zhiwen Wang, Zhitong Yu:
Privacy-Preserving Probabilistic Forecasting for Temporal-spatial Correlated Wind Farms. - Gabriel Nallathambi, José C. Príncipe:
Theory and Algorithms for Pulse Signal Processing. - Dima Grigoriev:
Decomposing tropical rational functions. - Mathieu Génois
Building connections: How scientists meet each other during a conference. - Silvio Ghilardi, Luigi Santocanale:
Free Heyting Algebra Endomorphisms: Ruitenburg's Theorem and Beyond. - Lev V. Utkin, Andrei V. Konstantinov, Viacheslav S. Chukanov, Mikhail V. Kots, Anna A. Meldo:
An Adaptive Weighted Deep Forest Classifier. - Max Robinson:
Projective Decomposition and Matrix Equivalence up to Scale. - Adel Javanmard, Marco Mondelli, Andrea Montanari:
Analysis of a Two-Layer Neural Network via Displacement Convexity. - Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen:
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks. - Xuyao Sun, Chenhao Qi, Geoffrey Ye Li:
Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems. - Xuyao Sun, Chenhao Qi:
Codeword Selection and Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems. - Kangjian Chen, Chenhao Qi:
Beam Training based on Dynamic Hierarchical Codebook for Millimeter Wave Massive MIMO. - Michael Weylandt, John Nagorski, Genevera I. Allen:
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization. - Rasha Alshehhi, Chris S. Hanson, Laurent Gizon, Shravan Hanasoge:
Supervised Neural Networks for Helioseismic Ring-Diagram Inversions. - Jean-Michel Coron, Frédéric Marbach, Franck Sueur, Ping Zhang:
On the controllability of the Navier-Stokes equation in a rectangle, with a little help of a distributed phantom force. - Luca Mariot, Luca Manzoni, Alberto Dennunzio:
Search Space Reduction of Asynchrony Immune Cellular Automata by Center Permutivity. - Antoine Dedieu, Rahul Mazumder:
Solving large-scale L1-regularized SVMs and cousins: the surprising effectiveness of column and constraint generation. - Mario Geiger, Arthur Jacot, Stefano Spigler, Franck Gabriel, Levent Sagun, Stéphane d'Ascoli
Scaling description of generalization with number of parameters in deep learning. - Vasileios Charisopoulos, Damek Davis, Mateo Díaz, Dmitriy Drusvyatskiy:
Composite optimization for robust blind deconvolution. - Tomoyuki Morimae, Suguru Tamaki:
Fine-grained quantum computational supremacy. - Jiayin Chen, Hendra I. Nurdin:
Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems. - Wenyan Ma, Chenhao Qi:
Beamspace Channel Estimation for Millimeter Wave Massive MIMO System with Hybrid Precoding and Combining. - Chenhao Qi, Xin Wang:
Precoding Design for Energy Efficiency of Multibeam Satellite Communications. - Ting Li, Ningchen Ying, Xianshi Yu, Bin-Yi Jing:
Semi-supervised learning in unbalanced and heterogeneous networks. - Matthijs J. Warrens, Hanneke van der Hoef:
Understanding partition comparison indices based on counting object pairs. - Mathew P. Abraham, Ankur A. Kulkarni:
Price-Coupling Games and the Generation Expansion Planning Problem. - Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Learning-based Optimization of the Under-sampling Pattern in MRI. - N. L. Holanda, M. A. Griffith:
Machine learning topological phases in real space. - Abhik Ghosh, Ayanendranath Basu:
A Scale-invariant Generalization of Renyi Entropy and Related Optimizations under Tsallis' Nonextensive Framework. - Ming Dong, L. S. Grumbach:
Combining Unsupervised and Supervised Learning for Asset Class Failure Prediction in Power Systems. - Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek:
Large-Scale Markov Decision Problems via the Linear Programming Dual. - Yuequan Bao, Zhiyi Tang, Hui Li:
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach. - M. E. J. Newman, Xiao Zhang, Raj Rao Nadakuditi:
Spectra of random networks with arbitrary degrees. - Mostafa Einollahzadeh, Mohammad Mahdi Karkhaneei:
Proof of a conjecture on the algebraic connectivity of a graph and its complement. - Zelda Mariet, Yaniv Ovadia, Jasper Snoek:
DPPNet: Approximating Determinantal Point Processes with Deep Networks. - Manuele Leonelli, Eva Riccomagno:
A geometric characterisation of sensitivity analysis in monomial models. - Wei Wang, Quan-Hui Liu, Junhao Liang, Yanqing Hu, Tao Zhou:
Coevolution spreading in complex networks. - Talha Cihad Gulcu, Alper Gungor:
Comments on "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?". - Song Cheng
Tree Tensor Networks for Generative Modeling. - Valerio Capraro, Andrea Vanzo:
The power of moral words: Understanding framing effects in extreme Dictator games using sentiment analysis and moral judgments. - Mathieu Blondel, André F. T. Martins, Vlad Niculae:
Learning with Fenchel-Young Losses. - Aradhana Singh, Sitabhra Sinha:
Interplay of intra- and inter-dependence affects the robustness of network of networks. - Ladislav Mosner, Minhua Wu, Anirudh Raju, Sree Hari Krishnan Parthasarathi, Ken'ichi Kumatani, Shiva Sundaram, Roland Maas, Björn Hoffmeister:
Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning. - Thanh-Hieu Le, Nhat-Thien Pham:
Sum-of-square-of-rational-function based representations of positive semidefinite polynomial matrices. - Fredrik Lindsten, Jouni Helske, Matti Vihola:
Graphical model inference: Sequential Monte Carlo meets deterministic approximations. - Benjamin F. Maier:
Analytic evaluation of the small-world effect on a model approaching the Erdős-Rényi random graph. - Bernardo Alves Furtado:
Modeling tax distribution in metropolitan regions with PolicySpace. - Mathias Soeken:
Using ZDDs in the mapping of quantum circuits. 106-118 - Cristina Cornelio, Lucrezia Furian, Antonio Nicolò, Francesca Rossi:
Using deceased-donor kidneys to initiate chains of living donor kidney paired donations: algorithms and experimentation. - Iasson Karafyllis, Tarek Ahmed-Ali, Fouad Giri:
Sampled-Data Observers for 1-D Parabolic PDEs with Non-Local Outputs. - Layla Majzoobi, Farshad Lahouti, Vahid Shah-Mansouri:
Analysis of Distributed ADMM Algorithm for Consensus Optimization in Presence of Node Error. - Chung-Han Hsieh
A Conjecture Involving Positive Solutions of a Simple Scalar Linear Time-Varying State Equation with Delay. - Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. - Yuchen He, Sung Ha Kang:
Lattice Identification and Separation: Theory and Algorithm. - Denisa Copandean, Constantin Nandra, Dorian Gorgan, Ovidiu Vaduvescu:
Asteroids Detection Technique: Classic "Blink" An Automated Approch. - Teodor Stefanut, Victor Bacu, Constantin Nandra, Denisa Balasz, Dorian Gorgan, Ovidiu Vaduvescu:
NEARBY Platform: Algorithm for Automated Asteroids Detection in Astronomical Images. - Lianlin Li, Long Gang Wang, Fernando L. Teixeira:
Performance Analysis and Dynamic Evolution of Deep Convolutional Neural Network for Nonlinear Inverse Scattering. - Al-Hussein A. El-Shafie, Mohamed H. Zaki, Serag El-Din Habib:
Fast CNN-Based Object Tracking Using Localization Layers and Deep Features Interpolation. - Harun Siljak, Irene Macaluso, Nicola Marchetti:
Dynamical systems in wireless communications: The road less traveled by. - Mehdi Molkaraie:
Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions. - Christoph Hertrich
Sweep Algorithms for the Capacitated Vehicle Routing Problem with Structured Time Window. - Rodrigo Aldana-López, David Gómez-Gutiérrez, Erick Jiménez-Rodríguez, Juan Diego Sánchez-Torres
On the design of new classes of predefined-time stable systems: A time-scaling approach. - Federico Battiston, Federico Musciotto, Dashun Wang, Albert-László Barabási, Michael Szell, Roberta Sinatra:
Taking census of physics. - Alonso Castillo-Ramirez, Miguel Sanchez-Alvarez:
Bounding the minimal number of generators of groups of cellular automata. - József Molnár, Michaël Barbier, Winnok H. De Vos, Péter Horváth:
An Elastic Energy Minimization Framework for Mean Contour Calculation. - Christoph Kawan, Serdar Yüksel:
Stochastic stabilization of dynamical systems over communication channels. - Andreas Bock, Alexis Arnaudon, Colin J. Cotter:
Selective metamorphosis for growth modelling with applications to landmarks. - Zeyuan Allen-Zhu, David Simchi-Levi, Xinshang Wang:
The Lingering of Gradients: How to Reuse Gradients over Time. - Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart:
Revealing interpretable object representations from human behavior. - Hao Chen, Lanshan Han, Alvin Lim:
Beyond the EM Algorithm: Constrained Optimization Methods for Latent Class Model. - Lukasz Gajewski, Krzysztof Suchecki, Janusz A. Holyst:
Multiple propagation paths enhance locating the source of diffusion in complex networks. - Amirmasoud Ahmadi
Brain Electrical Stimulation for Animal Navigation. - Ullah Ihsan, Ziqing Wang, Robert A. Malaney, Andrew G. Dempster, Shihao Yan:
Artificial Intelligence and Location Verification in Vehicular Networks. - Radek Husek, Robert Sámal:
Homomorphisms of Cayley graphs and Cycle Double Covers. - Peter Klimek, Robert Kreuzbauer, Stefan Thurner:
Fashion and art cycles are driven by counter-dominance signals of elite competition: quantitative evidence from music styles. - Tesnim Naceur, Yezekael Hayel:
Revenue maximization with access and information pricing schemes in a partially-observable queueing game. - Christian Agrell:
Gaussian processes with linear operator inequality constraints. - Jiayun Dong, Cynthia Rudin:
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models. - Giuseppe Nuti, Lluís Antoni Jiménez Rugama, Andreea-Ingrid Cross:
A Bayesian Decision Tree Algorithm. - Raif M. Rustamov:
Closed-form Expressions for Maximum Mean Discrepancy with Applications to Wasserstein Auto-Encoders. - Constantinos Papayiannis, Christine Evers, Patrick A. Naylor:
Data Augmentation of Room Classifiers using Generative Adversarial Networks. - Deepta Rajan, David Beymer, Girish Narayan:
Generalization Studies of Neural Network Models for Cardiac Disease Detection Using Limited Channel ECG. - Nitzan S. Artzi, Oren Shriki:
An Analysis of the Accuracy of the P300 BCI. - Lixue Cheng, Matthew Welborn, Thomas F. Miller III:
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules. - Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, Le Zhang, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort. - Felix Berkenkamp, Angela P. Schoellig, Andreas Krause:
No-regret Bayesian Optimization with Unknown Hyperparameters. - (Withdrawn) Graph embeddings into Hamming spaces.
- Jin Zhu, Guang Yang, Pietro Liò:
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach. - André C. R. Martins:
Network generation and evolution based on spatial and opinion dynamics components. - Erick Schmidt, Zach A. Ruble, David Akopian, Daniel J. Pack:
Software-Defined Radio GNSS Instrumentation for Spoofing Mitigation: A Review and a Case Study. - Arash Vahdat, Evgeny Andriyash, William G. Macready:
Learning Undirected Posteriors by Backpropagation through MCMC Updates. - Haidong Li, Xiaoyun Xu, Yijie Peng, Chun-Hung Chen:
Efficient Sampling for Selecting Important Nodes in Random Network. - Ruimeng Hu:
Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems. - Hendrik Richter:
Relationships between dilemma strength and fixation properties in coevolutionary games. - Paige Randall North:
Identity types and weak factorization systems in Cauchy complete categories. - Alessandro Pluchino, Giulio Burgio, Andrea Rapisarda, Alessio Emanuele Biondo, Alfredo Pulvirenti, Alfredo Ferro, Toni Giorgino:
Exploring the Role of Interdisciplinarity in Physics: Success, Talent and Luck. - Devansh Arpit, Yoshua Bengio:
The Benefits of Over-parameterization at Initialization in Deep ReLU Networks. - Ville Salo:
Alternation diameter of a product object. - Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard, Fiona O'Connell, Dave Osthus:
Estimating influenza incidence using search query deceptiveness and generalized ridge regression. - Francisco Perdigón Romero, An Tang, Samuel Kadoury:
Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images. - Wesley Cota, Silvio C. Ferreira, Romualdo Pastor-Satorras, Michele Starnini:
Quantifying echo chamber effects in information spreading over political communication networks. - Frank Nielsen:
The statistical Minkowski distances: Closed-form formula for Gaussian Mixture Models. - Peter Frankl, Andrey Kupavskii:
Simple juntas for shifted families. - Zebin Yang, Aijun Zhang, Agus Sudjianto:
Enhancing Explainability of Neural Networks through Architecture Constraints. - Alexander G. Rakowski, Petar Velickovic, Enrico Dall'Ara, Pietro Liò:
ChronoMID - Cross-Modal Neural Networks for 3-D Temporal Medical Imaging Data. - Jascha Sohl-Dickstein, Kenji Kawaguchi:
Eliminating all bad Local Minima from Loss Landscapes without even adding an Extra Unit. - Vladimir B. Berikov, Alexander Litvinenko:
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties. - Bariscan Yonel, Birsen Yazici:
A Generalization of Wirtinger Flow for Exact Interferometric Inversion. - Manikanta Kotaru, Guy Satat, Ramesh Raskar, Sachin Katti:
Light-Field for RF. - Jingwei Gan, Pai Liu, Rajan K. Chakrabarty:
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation. - Ali Ghaderi:
On the method of likelihood-induced priors. - Yourui Huangfu, Jian Wang
Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models. - Helge Spieker, Arnaud Gotlieb:
Towards Testing of Deep Learning Systems with Training Set Reduction. - Dmitri Goloubentsev, Evgeny Lakshtanov:
Remarks on stochastic automatic adjoint differentiation and financial models calibration. - Paolo Bosetti, Piero Poletti, Massimo Stella, Bruno Lepri, Stefano Merler, Manlio De Domenico:
Reducing measles risk in Turkey through social integration of Syrian refugees. - Victor Bacu, Adrian Sabou, Teodor Stefanut, Dorian Gorgan, Ovidiu Vaduvescu:
NEARBY Platform for Detecting Asteroids in Astronomical Images Using Cloud-based Containerized Applications. - Alexander Birx, Yann Disser:
Tight Analysis of the Smartstart Algorithm for Online Dial-a-Ride on the Line. - R. V. Ramos:
Quantum and Classical Information Theory with Disentropy. - Johan Pensar, Yingying Xu, Santeri Puranen, Maiju Pesonen, Yoshiyuki Kabashima, Jukka Corander:
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study. - Hadrien Lorenzo, Jérôme Saracco, Rodolphe Thiébaut:
Supervised Learning for Multi-Block Incomplete Data. - Raimundo Briceño, Andrei Bulatov, Víctor Dalmau, Benoît Larose:
Long range actions, connectedness, and dismantlability in relational structures. - Nike Dattani:
Quadratization in discrete optimization and quantum mechanics. - Matej Konecný:
Extending partial isometries of antipodal graphs. - Georgi Dikov, Patrick van der Smagt
Bayesian Learning of Neural Network Architectures. - Uros Seljak, Byeonghee Yu:
Posterior inference unchained with EL_2O. - Jianning Li, Long Cao, Yangyang Ge, Bowen Meng, Cheng Wang, Wei Guo:
Towards Personalized Management of Type B Aortic Dissection Using STENT: a STandard cta database with annotation of the ENtire aorta and True-false lumen. - W. James Murdoch, Chandan Singh
Interpretable machine learning: definitions, methods, and applications. - Zhengwei Wang, Graham Healy, Alan F. Smeaton, Tomas E. Ward:
Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation. - Kan He, Shusen Liu, Jinchuan Hou:
Separation and approximate separation of multipartite quantum gates. - Yusuke Tsuzuku, Issei Sato, Masashi Sugiyama:
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis. - Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh:
The Limitations of Adversarial Training and the Blind-Spot Attack. - Ville Salo:
Minimal subshifts with a language pivot property. - Soyeon Choe, Soo-Whan Chung, Youna Ji, Hong-Goo Kang:
Orthonormal Embedding-based Deep Clustering for Single-channel Speech Separation. - Jan Bok, Boris Furtula, Nikola Jedlicková, Riste Skrekovski:
On Extremal Graphs of Weighted Szeged Index. - Nikolaos Gianniotis:
Mixed Variational Inference. - Daniele Ancora, Luca Leuzzi:
Learning Direct and Inverse Transmission Matrices. - Ursula Garzcarek, Detlef Steuer:
Approaching Ethical Guidelines for Data Scientists. - Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC. - Hisham Al-Mubaid, Sasikanth Potu, Mohamed Shenify:
Determining Multifunctional Genes and Diseases in Human Using Gene Ontology. - Mingyong Zhou:
Electrical Impedance Tomography based on Genetic Algorithm. - Yibo Yang, Paris Perdikaris:
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems. - Jean-Bastien Grill, Michal Valko, Rémi Munos:
Optimistic optimization of a Brownian. - Chrisgone Adede, Robert Oboko, Peter Wagacha, Clement Atzberger:
A mixed model approach to drought prediction using artificial neural networks: Case of an operational drought monitoring environment. - Alexandr Kazda, Dmitriy Zhuk:
Existence of cube terms in finite finitely generated clones. - Mauricio Flores Rios, Jeff Calder, Gilad Lerman:
Algorithms for 𝓁p-based semi-supervised learning on graphs. - Nicholas Esterer, Philippe Depalle:
A linear programming approach to the tracking of partials. - Pierre-Philippe Dechant, Yang-Hui He:
Machine-learning a virus assembly fitness landscape. - Xavier Coiteux-Roy, Claude Crépeau:
The RGB No-Signalling Game. - Fei Ma, Wen Zhang, Thushara D. Abhayapala:
Real-time separation of non-stationary sound fields on spheres. - Dan Lu, Daniel M. Ricciuto:
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques. - Rixon Crane, Fred (Farbod) Roosta:
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization. - Maiia Popel:
Using CoCalc as a Training Tool for Mathematics Teachers Pre-Service Training. - Anna Guitart, Pei Pei Chen, África Periáñez:
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition. - Dorit Aharonov, Alex Bredariol Grilo:
Stoquastic PCP vs. Randomness. - Vladimir V. Kornyak:
A new algorithm for irreducible decomposition of representations of finite groups. - Bobak Hashemi, Nick Amin, Kaustuv Datta
LHC analysis-specific datasets with Generative Adversarial Networks. - Rima Alaifari, Matthias Wellershoff:
Stability estimates for phase retrieval from discrete Gabor measurements. - Mustafa Talha Avcu, Zhuo Zhang, Derrick Wei Shih Chan:
Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network. - Claudio Gambella, Bissan Ghaddar, Joe Naoum-Sawaya:
Optimization Models for Machine Learning: A Survey. - Benjamin Guedj
A Primer on PAC-Bayesian Learning. - Silvia Amabilino, Lars A. Bratholm, Simon J. Bennie, Alain C. Vaucher, Markus Reiher, David R. Glowacki:
Training neural nets to learn reactive potential energy surfaces using interactive quantum chemistry in virtual reality. - Sergi Blanco-Cuaresma
Fundamentals of effective cloud management for the new NASA Astrophysics Data System. - Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang:
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization. - Dian Sheng, Yiheng Wei, Songsong Cheng, Yong Wang:
Adaptive backstepping control for FOS with nonsmooth nonlinearities. - Vida Dujmovic, Pat Morin, David R. Wood:
Queue Layouts of Graphs with Bounded Degree and Bounded Genus. - James Allen Fill, Daniel Q. Naiman:
The Pareto Record Frontier. - James Allen Fill, Daniel Q. Naiman:
Generating Pareto records. - Elon Lindenstrauss, Masaki Tsukamoto:
Double variational principle for mean dimension. - Masaki Tsukamoto:
Double variational principle for mean dimension with potential. - Devsi Bantva:
Hamiltonian chromatic number of block graphs. - Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar:
Fast Deep Learning for Automatic Modulation Classification. - Constantinos Papayiannis, Christine Evers, Patrick A. Naylor:
Using DNNs to Detect Materials in a Room based on Sound Absorption. - Siddhartha Das
Bipartite Quantum Interactions: Entangling and Information Processing Abilities. - Sattar Vakili, Qing Zhao:
A Random Walk Approach to First-Order Stochastic Convex Optimization. - Albee Y. Ling, Allison W. Kurian, Jennifer L. Caswell-Jin, George W. Sledge Jr., Nigam H. Shah, Suzanne R. Tamang:
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data. - Mohammad Mehdi Rezvani, Shahab Mehraeen:
A New Approach for Steady-State Analysis of a Hybrid ac-dc Microgrid. - Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin:
GO Gradient for Expectation-Based Objectives. - Nicolai Kraus, Jakob von Raumer:
Path Spaces of Higher Inductive Types in Homotopy Type Theory. - Benjamin Kompa, Beau Coker:
Learning a Generative Model of Cancer Metastasis. - Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh:
Hierarchical Representations with Poincaré Variational Auto-Encoders. - Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos:
Kernel Change-point Detection with Auxiliary Deep Generative Models. - Benjamin Bloem-Reddy, Yee Whye Teh:
Probabilistic symmetry and invariant neural networks. - Ji Chen, Dekai Liu, Xiaodong Li:
Nonconvex Rectangular Matrix Completion via Gradient Descent without 𝓁2, ∞ Regularization. - Shunqing Zhang, Chenlu Xiang, Shan Cao, Shugong Xu, Jiang Zhu:
Dynamic Carrier and Power Amplifier Mapping for Energy Efficient Multi-Carrier Wireless Communications. - Giovanni Di Gennaro, Amedeo Buonanno, Francesco A. N. Palmieri:
Optimized Realization of Bayesian Networks in Reduced Normal Form using Latent Variable Model. - Bastian Seifert
FFT and orthogonal discrete transform on weight lattices of semi-simple Lie groups. - Dario Paccagnan:
Distributed control and game design: From strategic agents to programmable machines. - Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris:
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data. - Zahra Baghali Khanian, Andreas J. Winter:
Entanglement-Assisted Quantum Data Compression. - James D. Currie, Tero Harju, Pascal Ochem, Narad Rampersad:
Some further results on squarefree arithmetic progressions in infinite words. - Lijun Zhu, Zhigang Peng, James H. McClellan, Chenyu Li, Dongdong Yao, Zefeng Li, Lihua Fang:
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquake. - Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia:
Foothill: A Quasiconvex Regularization Function. - Melvin Wong, Bilal Farooq:
A combined entropy and utility based generative model for large scale multiple discrete-continuous travel behaviour data. - Art B. Owen:
Unreasonable effectiveness of Monte Carlo. - Jean Barbier, Nicolas Macris:
The adaptive interpolation method for proving replica formulas. Applications to the Curie-Weiss and Wigner spike models. - Arild Nøkland, Lars Hiller Eidnes:
Training Neural Networks with Local Error Signals. - Benyamin Ghojogh, Aydin Ghojogh, Mark Crowley, Fakhri Karray:
Fitting A Mixture Distribution to Data: Tutorial. - Rasmus Kyng, Kyle Luh, Zhao Song:
Four Deviations Suffice for Rank 1 Matrices. - Min-Oh Jeong, Song-Nam Hong:
SC-Fano Decoding of Polar Codes. - Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu:
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. - Xinsheng Qin, Randall J. LeVeque, Michael R. Motley:
Efficient Tsunami Modeling on Adaptive Grids with Graphics Processing Units (GPUs). - Dongyang Xu, Pinyi Ren, James A. Ritcey:
Hierarchical 2-D Feature Coding for Secure Pilot Authentication in Multi-User Multi-Antenna OFDM Systems: A Reliability Bound Contraction Perspective. - Bin Chen
Polarization-ring-switching for nonlinearity-tolerant geometrically-shaped four-dimensional formats maximizing generalized mutual information. - Tom Lyche, Georg Muntingh:
B-spline-like bases for C2 cubics on the Powell-Sabin 12-split. - Masayuki Ohzeki:
Message-passing algorithm of quantum annealing with nonstoquastic Hamiltonian. - Nicola Strisciuglio, Mario Vento, Nicolai Petkov:
Learning sound representations using trainable COPE feature extractors. - Chen Bar, Marina Alterman, Ioannis Gkioulekas, Anat Levin:
A Monte Carlo Framework for Rendering Speckle Statistics in Scattering Media. - Eliu A. Huerta, Roland Haas
The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective. - Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection. - Xialiang Dou, Tengyuan Liang:
Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits. - Hai Shu, Hongtu Zhu:
Sensitivity Analysis of Deep Neural Networks. - Alan M. Frieze, Wesley Pegden, Tomasz Tkocz:
On random multi-dimensional assignment problems. - Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober:
Fast and Robust Shortest Paths on Manifolds Learned from Data. - Masashi Wakaiki, Hideki Sano:
Sampled-data Output Regulation of Well-posed Infinite-dimensional Systems. - Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences. - Hanmin Lee, Venanzio Cichella, Naira Hovakimyan:
L1 Adaptive Output Feedback for Non-square Systems with Arbitrary Relative Degree. - Aurelia Bustos
PadChest: A large chest x-ray image dataset with multi-label annotated reports. - Bugra Can, Mert Gürbüzbalaban, Lingjiong Zhu:
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances. - Satyam Kumar, Tharun Kumar Reddy, Laxmidhar Behera:
Divergence Framework for EEG based Multiclass Motor Imagery Brain Computer Interface. - Chengyuan Liu, Josep Vehí, Nick Oliver, Pantelis Georgiou, Pau Herrero
Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information. - Thanh Huy Nguyen, Umut Simsekli, Gaël Richard:
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization. - Zsuzsa Danku, Matjaz Perc, Attila Szolnoki:
Knowing the past improves cooperation in the future. - I (Eli) Chien, Olgica Milenkovic:
Support Estimation via Regularized and Weighted Chebyshev Approximations. - Chaitanya Chinni, Abhishek Kulkarni, Dheeraj M. Pai, Kaushik Mitra, Pradeep Kiran Sarvepalli:
Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix. - Min Ho Cho, Sebastian Kurtek, Steven N. MacEachern:
Aggregated Pairwise Classification of Statistical Shapes. - Sara M. Clifton, Kaitlin Hill, Avinash J. Karamchandani, Eric A. Autry, Patrick McMahon, Grace Sun:
Mathematical model of gender bias and homophily in professional hierarchies. - Stefano Buzzi, Carmen D'Andrea, Dejian Li, Shulan Feng:
MIMO-UFMC Transceiver Schemes for Millimeter Wave Wireless Communications. - Nike Dattani, Szilard Szalay, Nick Chancellor:
Pegasus: The second connectivity graph for large-scale quantum annealing hardware. - Lam M. Nguyen
Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH. - Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj, Ghassan AlRegib:
A Machine Learning Benchmark for Facies Classification. - Chi-Sing Ho, Neal Jean, Catherine A. Hogan, Lena Blackmon, Stefanie S. Jeffrey, Mark Holodniy, Niaz Banaei, Amr A. E. Saleh, Stefano Ermon, Jennifer A. Dionne:
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning. - Nike Dattani, Nick Chancellor:
Embedding quadratization gadgets on Chimera and Pegasus graphs. - Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda:
Unified estimation framework for unnormalized models with statistical efficiency. - Jian Wang, Yacong Geng, Jiqiang Liu:
Adaptive Quantum Image Encryption Method Based on Wavelet Transform. - Henry Gouk, Bernhard Pfahringer, Eibe Frank:
Stochastic Gradient Trees. - Ather Gattami:
Reinforcement Learning of Markov Decision Processes with Peak Constraints. - Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier:
A Review on Quantile Regression for Stochastic Computer Experiments. - Liangyuan Xu, Xintong Lu, Shi Jin, Feifei Gao, Yongxu Zhu:
On the Uplink Achievable Rate of Massive MIMO System With Low-Resolution ADC and RF Impairments. - Erfan Khordad, Ata Khalili, Soroush Akhlaghi:
Rate Balancing in Full-Duplex MIMO Two-Way Relay Networks. - Dongyang Xu, Pinyi Ren, James A. Ritcey:
Independence-Checking Coding for OFDM Channel Training Authentication: Protocol Design, Security, Stability, and Tradeoff Analysis. - Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Navigability evaluation of complex networks by greedy routing efficiency. - Luca Pion-Tonachini, Kenneth Kreutz-Delgado, Scott Makeig:
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. - Vittorio Lippi, Giacomo Ceccarelli:
Incremental Principal Component Analysis Exact implementation and continuity corrections. - Carolina Becatti, Guido Caldarelli, Renaud Lambiotte, Fabio Saracco:
Extracting significant signal of news consumption from social networks: the case of Twitter in Italian political elections. - Jun Chen, Deli Qiao:
Outage Analysis of Heterogeneous mmWave Cellular Networks Employing JSDM. - Xiaoliang Wan, Shuangqing Wei:
Coupling the reduced-order model and the generative model for an importance sampling estimator. - Gianluca Detommaso, Hanne Hoitzing, Tiangang Cui, Ardavan Alamir:
Stein Variational Online Changepoint Detection with Applications to Hawkes Processes and Neural Networks. - Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
A Universally Optimal Multistage Accelerated Stochastic Gradient Method. - Viktor Yanush, Dmitry Kropotov:
Hamiltonian Monte-Carlo for Orthogonal Matrices. - Hanwen Huang:
Large dimensional analysis of general margin based classification methods. - Yura Malitsky, Peter Ochs:
Model Function Based Conditional Gradient Method with Armijo-like Line Search. - Bryan Lim, Stefan Zohren, Stephen J. Roberts:
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction. - Vincent Fortuin, Gunnar Rätsch:
Deep Mean Functions for Meta-Learning in Gaussian Processes. - Yanlu Xie, Yue Chen, Man Li:
Convolution Forgetting Curve Model for Repeated Learning. - Wallace Alves Martins, Fernando Cruz-Roldán, Marc Moonen, Paulo Sergio Ramirez Diniz:
Intersymbol and Intercarrier Interference in OFDM Transmissions through Highly Dispersive Channels. - Bin Yu, Karl Kumbier:
Three principles of data science: predictability, computability, and stability (PCS). - Rei Mizuta:
Pseudo-Polynomial Time Algorithm for Computing Moments of Polynomials in Free Semicircular Elements. - Dongchun Han, Haode Yan:
On an open problem about a class of optimal ternary cyclic codes. - Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama:
Multi-fidelity Bayesian Optimization with Max-value Entropy Search. - Kazuto Fukuchi, Satoshi Hara, Takanori Maehara:
Pretending Fair Decisions via Stealthily Biased Sampling. - Samuel Unicomb, Gerardo Iñiguez, János Kertész, Márton Karsai:
Reentrant phase transitions in threshold driven contagion on multiplex networks. - Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag:
Overcomplete Independent Component Analysis via SDP. - Jungtaek Kim, Seungjin Choi:
On Local Optimizers of Acquisition Functions in Bayesian Optimization. - Yan Wang, Xuelei Sherry Ni:
A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization. - Bálint J. Tóth, Gergely Palla, Enys Mones, Gergo Havadi, Nóra Páll, Péter Pollner, Tamás Vicsek:
Emergence of leader-follower hierarchy among players in an on-line experiment. - Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach. - Vien V. Mai, Mikael Johansson:
Curvature-Exploiting Acceleration of Elastic Net Computations. - Yongjin Park, Abhishek Sarkar, Khoi Nguyen, Manolis Kellis:
Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data. - Santiago Mazuelas, Aritz Pérez:
General Supervision via Probabilistic Transformations. - Matthew Willetts, Stephen J. Roberts, Christopher C. Holmes:
Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels. - Ruiqi Liu, Ganggang Xu, Zuofeng Shang:
Optimal Nonparametric Inference under Quantization. - Burak Çakmak, Manfred Opper:
Convergent Dynamics for Solving the TAP Equations of Ising Models with Arbitrary Rotation Invariant Coupling Matrices. - Motaz Alfarraj, Ghassan AlRegib:
Petrophysical property estimation from seismic data using recurrent neural networks. - Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern:
Fair k-Center Clustering for Data Summarization. - Andrei Patrascu:
On convergence rate of stochastic proximal point algorithm without strong convexity, smoothness or bounded gradients. - Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern:
Guarantees for Spectral Clustering with Fairness Constraints. - Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe:
On the Complexity of Approximating Wasserstein Barycenter. - Zhenhai Chang, Caiyan Jia, Xianjun Yin, Yimei Zheng:
A Generative Model for Exploring Structure Regularities in Attributed Networks. - Isaac Z. Pesenson:
Average sampling and average splines on combinatorial graphs. - Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis:
Robust estimation of tree structured Gaussian Graphical Model. - Erik Gengel, Arkady Pikovsky:
Phase demodulation with iterative Hilbert transform embeddings. - Andrei Kulunchakov, Julien Mairal:
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise. - Hiroshi Kera, Yoshihiko Hasegawa:
Spurious Vanishing Problem in Approximate Vanishing Ideal. - Damian Gola, Inke R. König:
Empowering individual trait prediction using interactions. - Nathan Keller, Ohad Klein:
A structure theorem for almost low-degree functions on the slice. - Neil F. Johnson, Fernando Javier Gómez-Ruiz, Ferney J. Rodríguez, Luis Quiroga:
Quantum Terrorism: Collective Vulnerability of Global Quantum Systems. - Himangshu Kalita, Leonard Vance, Vishnu Reddy, Jekan Thangavelautham:
Laser Communication and Coordination Control of Spacecraft Swarms. - Ernesto Acosta, Bernarda Aldana, Jaime Bohorquez:
Calculational HoTT. - Xueping Gu, Yang Li:
Transient Stability Assessment of Power Systems Based on Local Learning Machine and Bacterial Colony Chemotaxis Algorithm. - Shuaiqiang Liu, Cornelis W. Oosterlee, Sander M. Bohté:
Pricing options and computing implied volatilities using neural networks. - Amit Moscovich
Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation. - Irina Georgescu, Jani Kinnunen:
How the investor's risk preferences influence the optimal allocation in a credibilistic portfolio problem. - Percy Deift, Thomas Trogdon:
The conjugate gradient algorithm on well-conditioned Wishart matrices is almost deteriministic. - Anthony Bonato, Sean English:
A Sublinear Bound on the Cop Throttling Number of a Graph. - Boris Hanin, David Rolnick:
Complexity of Linear Regions in Deep Networks. - Thierry Combot:
Symbolic integration of hyperexponential 1-forms. - Dylan J. Foster, Vasilis Syrgkanis:
Orthogonal Statistical Learning. - Roy Adams, Yuelong Ji, Xiaobin Wang, Suchi Saria:
Learning Models from Data with Measurement Error: Tackling Underreporting. - Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová:
Generalisation dynamics of online learning in over-parameterised neural networks. - Angela Zhang, Po-Yu Kao, Ashutosh Shelat, Ronald Sahyouni, Jefferson W. Chen, B. S. Manjunath:
Fully Automated Volumetric Classification in CT Scans for Diagnosis and Analysis of Normal Pressure Hydrocephalus. - Dengwang Tang, Vijay G. Subramanian:
Derandomized Load Balancing using Random Walks on Expander Graphs. - Hankui Peng, Nicos G. Pavlidis, Idris A. Eckley, Ioannis Tsalamanis:
Subspace Clustering of Very Sparse High-Dimensional Data. - ChenYang Xia, YouZhe Fan, Chi-Ying Tsui:
A Two-staged Adaptive Successive Cancellation List Decoding for Polar Codes. - Tianyu Wang, Dawei Geng, Cynthia Rudin:
A Practical Bandit Method with Advantages in Neural Network Tuning. - Peter Frankl, Andrey Kupavskii:
Beyond the Erdős Matching Conjecture. - J. Nsofini, D. Sarenac, D. G. Cory, D. A. Pushin:
Coherence Optimization in Neutron Interferometry through Defocussing. - Adam Lipowski, Antonio Luis Ferreira, Dorota Lipowska, Manuel A. Barroso:
Bipartitioning of directed and mixed random graphs. - Pengfei Wang, Zijie Zheng, Boya Di, Lingyang Song:
HetMEC: Latency-optimal Task Assignment and Resource Allocation for Heterogeneous Mobile Edge Computing. - Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama:
On Symmetric Losses for Learning from Corrupted Labels. - Filip Hanzely
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion. - Yiteng Li
Acceleration of the NVT-flash calculation for multicomponent mixtures using deep neural network models. - Javier Antorán, Antonio Miguel:
Disentangling in Variational Autoencoders with Natural Clustering. - Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. - Ozan Alp Topal, Selen Gecgel, Ender Mete Eksioglu, Gunes Karabulut-Kurt:
Identification of Smart Jammers: Learning based Approaches Using Wavelet Representation. - Alice C. Schwarze, Philip S. Chodrow, Mason A. Porter:
Log-minor distributions and an application to estimating mean subsystem entropy. - Davood Karimi, Golnoosh Samei, Yanan Shao, Tim Salcudean:
A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging. - Eric V. Strobl:
Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs. - Yonggi Jo, Hee Su Park, Seung-Woo Lee, Wonmin Son:
Efficient High-dimensional Quantum Key Distribution with Hybrid Encoding. - Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik:
An analytic formulation for positive-unlabeled learning via weighted integral probability metric. - Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida:
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis. - Victor Falgas-Ravry, Klas Markström, Yi Zhao:
Triangle-degrees in graphs and tetrahedron coverings in 3-graphs. - Quntao Zhuang, Zheshen Zhang:
Supervised Learning Enhanced by an Entangled Sensor Network. - Xavier Caruso, Tristan Vaccon, Thibaut Verron:
Gr{ö}bner bases over Tate algebras. - Grigoris Paouris, Kaitlyn Phillipson, J. Maurice Rojas:
A Faster Solution to Smale's 17th Problem I: Real Binomial Systems. - Thomas Kirchner, Janek Gröhl, Franz Sattler, Moritz S. Bischoff, Angelika Laha, Marco Nolden, Lena Maier-Hein:
An open-source software platform for translational photoacoustic research and its application to motion-corrected blood oxygenation estimation. - Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford:
Interpreting Deep Neural Networks Through Variable Importance. - Vishwa S. Parekh, Michael A. Jacobs:
Tumor Connectomics: Mapping the intra-tumoral complex interaction network. - Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums. - Juste Raimbault:
Space and complexities of territorial systems. - Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet:
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. - David S. Watson, Marvin N. Wright:
Testing Conditional Predictive Independence in Supervised Learning Algorithms. - Muhammad Osama, Dave Zachariah, Thomas B. Schön:
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. - Monika Wolfmayr:
Two-sided bounds for cost functionals of time-periodic parabolic optimal control problems. - Sanjay Kariyappa, Moinuddin K. Qureshi:
Improving Adversarial Robustness of Ensembles with Diversity Training. - Albert S. Berahas, Majid Jahani, Martin Takác:
Quasi-Newton Methods for Deep Learning: Forget the Past, Just Sample. - Julian Salazar, Katrin Kirchhoff, Zhiheng Huang:
Self-Attention Networks for Connectionist Temporal Classification in Speech Recognition. - Wei Ma, Zhen Qian:
Statistical inference of probabilistic origin-destination demand using day-to-day traffic data. - Puoya Tabaghi, Maarten V. de Hoop, Ivan Dokmanic:
Learning Schatten-Von Neumann Operators. - Zhanfeng Wang, Yumi Kwon, Yuan-chin Ivan Chang:
Active learning for binary classification with variable selection. - Luca Oneto, Michele Donini, Massimiliano Pontil:
General Fair Empirical Risk Minimization. - Nicolás García Trillos, Zachary Kaplan, Daniel Sanz-Alonso:
Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning. - Shikun Zhang, Kun Liu, Daoyi Dong, Xiaoxue Feng, Feng Pan:
Subspace Stabilization Analysis for Non-Markovian Open Quantum Systems. - Nicolás García Trillos, Ryan Murray:
A maximum principle argument for the uniform convergence of graph Laplacian regressors. - Shenyu Liu, Mohamed-Ali Belabbas:
A Homotopy Method for Motion Planning. - Andrew Fagan
Optimising Clifford Circuits with Quantomatic. 85-105 - Mathieu Huot, Sam Staton:
Universal Properties in Quantum Theory. 213-223 - Gunwoong Park:
Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances. - Li Xing, Mary Lesperance, Xuekui Zhang:
Simultaneous prediction of multiple outcomes using revised stacking algorithms. - Pierre Nagorny, Thomas Lacombe, Hugues Favrelière
Generative Adversarial Networks for geometric surfaces prediction in injection molding. - H. Y. Guo, B. Zhou:
On the distance α-spectral radius of a connected graph. - Teppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski:
Representation Transfer for Differentially Private Drug Sensitivity Prediction. - Samuel Wiqvist
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. - Gururaj Awate
Detection of Alzheimers Disease from MRI using Convolutional Neural Networks, Exploring Transfer Learning And BellCNN. - Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela:
Differentially Private Markov Chain Monte Carlo. - Elisabeth Gaar, Daniel Krenn, Susan Margulies, Angelika Wiegele
An Optimization-Based Sum-of-Squares Approach to Vizing's Conjecture. - Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel:
Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems. - Xiaolei Liu, Kun Wan, Yufei Ding:
Adversarial attack on Speech-to-Text Recognition Models. - Alper Atamtürk, Andrés Gómez:
Rank-one Convexification for Sparse Regression. - Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher:
Stochastic Conditional Gradient Method for Composite Convex Minimization. - Nicole Fronda, Jessica Asencio, Cameron Carlin, David R. Ledbetter, Melissa Aczon, Randall C. Wetzel, Barry Markovitz:
Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock. - Manuel Pulido, Peter Jan van Leeuwen, Derek J. Posselt:
Kernel embedded nonlinear observational mappings in the variational mapping particle filter. - Ahsan S. Alvi, Bin Xin Ru, Jan Calliess, Stephen J. Roberts, Michael A. Osborne:
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. - Denisa Copandean, Ovidiu Vaduvescu, Dorian Gorgan:
Automated Prototype for Asteroids Detection. - Vivien Sainte Fare Garnot
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series. - Zhana Kuncheva, Giovanni Montana:
Spectral Multi-scale Community Detection in Temporal Networks with an Application. - Zachary M. Ziegler, Alexander M. Rush:
Latent Normalizing Flows for Discrete Sequences. - Ye Tu, Kinjal Basu, Jinyun Yan, Birjodh Tiwana, Shaunak Chatterjee:
Personalization and Optimization of Decision Parameters via Heterogenous Causal Effects. - Irina Georgescu:
Possibilistic investment models with background risk. - Anna Zink, Sherri Rose:
Fair Regression for Health Care Spending. - Christopher Aicher, Srshti Putcha, Christopher Nemeth
Stochastic Gradient MCMC for Nonlinear State Space Models. - Elyas Rashno, Ahmad Akbari, Babak Nasersharif:
A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition. - Alexey A. Melnikov, Leonid Fedichkin, Alexander Alodjants:
Detecting quantum speedup by quantum walk with convolutional neural networks. - Baoxiang Wang, Nidhi Hegde:
Private Q-Learning with Functional Noise in Continuous Spaces. - Jongyeong Lee, Nontawat Charoenphakdee, Seiichi Kuroki, Masashi Sugiyama:
Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation. - Chenri Ni, Nontawat Charoenphakdee, Junya Honda, Masashi Sugiyama:
On Possibility and Impossibility of Multiclass Classification with Rejection. - Robert Lukotka:
Short cycle covers of cubic graphs and intersecting 5-circuits. - Qiaoling Zhang, Thomas Takacs, Fehmi Cirak:
Manifold-based B-splines on unstructured meshes. - João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin:
Additive Margin SincNet for Speaker Recognition. - Karlson Pfannschmidt
Learning Choice Functions. - Alvaro Sierra-Altamiranda, Hadi Charkhgard, Iman Dayarian, Ali Eshragh, Sorna Javadi:
Learning to Project in Multi-Objective Binary Linear Programming. - Anirudh Goyal, Riashat Islam, Daniel Strouse, Zafarali Ahmed, Matthew M. Botvinick, Hugo Larochelle, Sergey Levine, Yoshua Bengio:
InfoBot: Transfer and Exploration via the Information Bottleneck. - Jan Goedgebeur, Edita Mácajová, Martin Skoviera:
The smallest nontrivial snarks of oddness 4. - Alexander P. Kartun-Giles, Ginestra Bianconi:
Beyond the clustering coefficient: A topological analysis of node neighbourhoods in complex networks. - Kartikay Gupta, Niladri Chatterjee:
Top performing stocks recommendation strategy for portfolio. - Mateo Rojas-Carulla, Ilya O. Tolstikhin, Guillermo Luque, Nicholas D. Youngblut, Ruth E. Ley, Bernhard Schölkopf:
GeNet: Deep Representations for Metagenomics. - Jakob Knollmüller, Torsten A. Enßlin
Metric Gaussian Variational Inference. - Prakash Murali, Jonathan M. Baker, Ali Javadi-Abhari, Frederic T. Chong, Margaret Martonosi:
Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers. - Aman Chandra, Himangshu Kalita, Roberto Furfaro, Jekan Thangavelautham:
End to End Satellite Servicing and Space Debris Management. - Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. - Gi-Soo Kim, Myunghee Cho Paik:
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model. - Dongruo Zhou, Quanquan Gu:
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization. - Baris Atakan, Fatih Gulec:
Signal reconstruction in diffusion-based molecular communication. - Yang Shi, Animashree Anandkumar:
Multi-dimensional Tensor Sketch. - Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. - Christian Elsholtz, Clemens Heuberger, Daniel Krenn
Algorithmic counting of nonequivalent compact Huffman codes. - Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews, Razvan Pascanu, Yee Whye Teh:
Functional Regularisation for Continual Learning using Gaussian Processes. - Balázs Gerencsér, László Gerencsér:
Tight bounds on the convergence rate of generalized ratio consensus algorithms. - Zhuangkun Wei, Bin Li, Weisi Guo, Wenxiu Hu, Chenglin Zhao:
Sequential Bayesian Detection of Spike Activities from Fluorescence Observations. - Xavier Bonnetain:
Improved Low-qubit Hidden Shift Algorithms. - Javier Gil Vidal, Dirk Oliver Theis:
Input Redundancy for Parameterized Quantum Circuits. - William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, Arno Solin:
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. - Raed Kontar, Garvesh Raskutti, Shiyu Zhou:
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach. - Dongruo Zhou, Quanquan Gu:
Stochastic Recursive Variance-Reduced Cubic Regularization Methods. - Mike A. Botchev:
A nested Schur complement solver with mesh-independent convergence for the time domain photonics modeling. - Saipraneeth Gouravaraju, Roger A. Sauer, Sachin Singh Gautam:
Investigating the normal and tangential peeling behaviour of gecko spatulae using a coupled adhesion-friction model. - Julian Marcon
A High Resolution PDE Approach to Quadrilateral Mesh Generation. - André L. Oestereich, Marcelo A. Pires, Nuno Crokidakis:
Three-state opinion dynamics in modular networks. - Dan Li, Sonia Martínez:
Data assimilation and online optimization with performance guarantees. - Antoine Deza, Asaf Levin, Syed Mohammad Meesum, Shmuel Onn:
Hypergraphic Degree Sequences are Hard. - Ryan T. Elliott, Ricardo Fernández-Blanco, Kelly Kozdras, Josh Kaplan, Brian Lockyear, Jason Zyskowski, Daniel S. Kirschen:
Sharing Energy Storage Between Transmission and Distribution.
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