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CoRR, December 2024
- Abigail Devereaux, Roger Koppl:
The use of knowledge in open-ended systems. - Jessica Syafaq Muthmaina:
The Femininomenon of Inequality: A Data-Driven Analysis and Cluster Profiling in Indonesia. - Shouvick Mondal, Tse-Hsun Chen:
On Rank Aggregating Test Prioritizations. - Minjun Kim, Sina Falaki:
A Supercomputing Based Distributed Cloud Marketplace. - Jiacheng Ma, Matthis Thorade:
Frost/Defrost Models for Air-Source Heat Pumps with Retained Water Refreezing Considered. - Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. - Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst:
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis. - Michael Griebel, Guanglian Li, Christian Rieger:
On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data. - Neel Redkar:
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers. - Frédéric Berdoz, Roger Wattenhofer:
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies. - Martin Moesmann, Torben Bach Pedersen:
Data-Driven Prescriptive Analytics Applications: A Comprehensive Survey. - Tofara Moyo:
Creating Hierarchical Dispositions of Needs in an Agent. - Luis Vilaca, Yi Yu, Paula Vinan:
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning. - Matthew Pierson, Zia Mehrabi:
Mapping waterways worldwide with deep learning. - Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi:
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. - Muhammad Suleman Ali Hamdani, Khizer Zakir, Neetu Kushwaha, Syeda Eman Fatima, Hassan Aftab Sheikh:
Brick Kiln Dataset for Pakistan's IGP Region Using AI. - Lingzheng Zhang, Lifeng Shen, Yimin Zheng, Shiyuan Piao, Ziyue Li, Fugee Tsung:
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting. - Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou:
Less is More: Efficient Model Merging with Binary Task Switch. - Ferhat Ozgur Catak, Murat Kuzlu, Taylor Patrick:
Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis. - Wei Lin, Qingyu Song, Hong Xu:
Adaptive Coordinate-Wise Step Sizes for Quasi-Newton Methods: A Learning-to-Optimize Approach. - Shezheng Song, Chengxiang He, Shasha Li, Shan Zhao, Chengyu Wang, Tianwei Yan, Xiaopeng Li, Qian Wan, Jun Ma, Jie Yu, Xiaoguang Mao:
MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image. - Zhuofan Wen, Shangtong Gui, Yang Feng:
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration. - Xuesong Wang, Sharaf K. Magableh, Oraib Dawaghreh, Caisheng Wang, Jiaxuan Gong, Zhongyang Zhao, Michael H. Liao:
Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Market. - Youngkyu Lee, Shanqing Liu, Jerome Darbon, George Em Karniadakis:
Automatic discovery of optimal meta-solvers via multi-objective optimization. - Massine El Khader, Elias Al Bouzidi, Abdellah Oumida, Mohammed Sbaihi, Eliott Binard, Jean-Philippe Poli, Wassila Ouerdane, Boussad Addad, Katarzyna Kapusta:
DiffGuard: Text-Based Safety Checker for Diffusion Models. - Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Dali Kaafar:
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs. - Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, Ali Fathi Jouzdani, Nima Sanati, Mehdi Maghsudi, Bonnie Leung, Cheryl Ho, Ren Yuan, Arman Rahmim:
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets. - Mingyu Cao, Gen Li, Jie Ji, Jiaqi Zhang, Xiaolong Ma, Shiwei Liu, Lu Yin:
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning. - Gang Dang, Dianhui Wang:
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling. - Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan:
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection. - Max Roberts, Ian Colwell, Clara Chew, Dallas Masters, Karl Nordstrom:
The Muon Space GNSS-R Surface Soil Moisture Product. - Justin Jiang:
Addressing Vulnerabilities in AI-Image Detection: Challenges and Proposed Solutions. - Avinash Amballa, Durga Sandeep Saluru, Gayathri Akkinapalli, Abhishek Sureddy, Akshay Kumar Sureddy:
Safe to Serve: Aligning Instruction-Tuned Models for Safety and Helpfulness. - Nikita Kisel, Illia Volkov, Katerina Hanzelkova, Klara Janouskova, Jiri Matas:
Flaws of ImageNet, Computer Vision's Favourite Dataset. - Nima Sedaghat, Tanawan Chatchadanoraset, Colin Orion Chandler, Ashish Mahabal, Maryam Eslami:
Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics. - Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà:
Task Singular Vectors: Reducing Task Interference in Model Merging. - Guangli Li, Zhehao Zhou, Tuo Sun, Ping Tan, Li Zhang, Zhen Liang:
Dual Prototyping with Domain and Class Prototypes for Affective Brain-Computer Interface in Unseen Target Conditions. - Ching-Yi Wang:
Visual Error Patterns in Multi-Modal AI: A Statistical Approach. - Xiu Yuan:
Unpacking the Individual Components of Diffusion Policy. - Songjiang Lai, Tsun-Hin Cheung, Jiayi Zhao, Kaiwen Xue, Ka-Chun Fung, Kin-Man Lam:
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments. - Neel Jawale, Byron Boots, Balakumar Sundaralingam, Mohak Bhardwaj:
Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning. - Cong Wang, Weizhe Yang, Haiping Wang, Renjie Yang, Jing Li, Zhijun Wang, Xinyao Yu, Yixiong Wei, Xianli Huang, Zhaoyang Liu, Changqing Zou, Zhifeng Zhao:
ONION: Physics-Informed Deep Learning Model for Line Integral Diagnostics Across Fusion Devices. - Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi:
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. - Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang:
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks. - Libin Liu, Shen Chen, Sen Jia, Jingzhe Shi, Zhongyu Jiang, Can Jin, Wu Zongkai, Jenq-Neng Hwang, Lei Li:
Graph Canvas for Controllable 3D Scene Generation. - Waheed Rehman:
A Novel Approach to Image Steganography Using Generative Adversarial Networks. - Feiyang Huang:
OFCap:Object-aware Fusion for Image Captioning. - Zhyar Rzgar K. Rostam, Gábor Kertész:
Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study. - Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul Whatmough, Babak Ehteshami Bejnordi:
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. - Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang:
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation. - Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Multi-Label Contrastive Learning : A Comprehensive Study. - Pragati Shuddhodhan Meshram, Swetha Karthikeyan, Bhavya, Suma Bhat:
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering? - Angus Fung, Aaron Hao Tan, Haitong Wang, Beno Benhabib, Goldie Nejat:
MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models. - Alex Nguyen, Gautam Reddy:
Differential learning kinetics govern the transition from memorization to generalization during in-context learning. - Akram Yoosoofsah:
Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable Prediction System. - Kazuma Kobayashi, Farid Ahmed, Syed Bahauddin Alam:
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters. - Daojun Liang, Haixia Zhang, Jing Wang, Dongfeng Yuan, Minggao Zhang:
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data. - Xinyu Shi, Yixin Tao, Shih-Chi Lin:
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning. - Guangyao Zheng, Michael A. Jacobs, Vishwa S. Parekh:
Demographic Predictability in 3D CT Foundation Embeddings. - Yinjie Zhao, Heng Zhao, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou:
Video Set Distillation: Information Diversification and Temporal Densification. - Seong-Eun Hong, Soobin Lim, Juyeong Hwang, Minwook Chang, Hyeongyeop Kang:
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis. - Kart-Leong Lim, Rahul Dutta, Mihai Rotaru:
Boundary-Decoder network for inverse prediction of capacitor electrostatic analysis. - Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo:
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. - Hui Li, Mingwang Xu, Yun Zhan, Shan Mu, Jiaye Li, Kaihui Cheng, Yuxuan Chen, Tan Chen, Mao Ye, Jingdong Wang, Siyu Zhu:
OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation. - Gilles Audemard, Christophe Lecoutre, Emmanuel Lonca:
Proceedings of the 2024 XCSP3 Competition. - Mohammed Tarnini, Saverio Iacoponi, Andrea Infanti, Cesare Stefanini, Giulia De Masi, Federico Renda:
Boundary Control Behaviors of Multiple Low-cost AUVs Using Acoustic Communication. - Luca Colombo, Fabrizio Pittorino, Manuel Roveri:
Training Multi-Layer Binary Neural Networks With Local Binary Error Signals. - Yang Liu, Jiale Du, Xinbo Gao, Jungong Han:
Relation-Aware Meta-Learning for Zero-shot Sketch-Based Image Retrieval. - Yang Liu, Xinshuo Wang, Jiale Du, Xinbo Gao, Jungong Han:
Hybrid Discriminative Attribute-Object Embedding Network for Compositional Zero-Shot Learning. - Xuexiang Niu, Jinping Tang, Lei Wang, Ge Zhu:
Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback. - Abhinav Das, Stephan Schlüter, Lorenz Schneider:
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression combined with Kernel-Based Support Vector Regression. - MinKyu Lee, Sangeek Hyun, Woojin Jun, Jae-Pil Heo:
Auto-Encoded Supervision for Perceptual Image Super-Resolution. - Batuhan Sariturk, Rabia Bayraktar, Merve Elmas Erdem:
Efficient Learning Content Retrieval with Knowledge Injection. - Lei Zhou, Youwen Zhu, Qiao Xue, Ji Zhang, Pengfei Zhang:
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient. - Siqi Kou, Jiachun Jin, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng:
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. - Hengkui Wu, Panpan Chi, Yongfeng Zhu, Liujiang Liu, Shuyang Hu, Yuexin Wang, Chen Zhou, Qihao Wang, Yingsi Xin, Bruce Liu, Dahao Liang, Xinglong Jia, Manqi Ruan:
Scaling Particle Collision Data Analysis. - Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li, Bin Zhu, Shaodong Wang, Xianyi He, Yang Ye, Shenghai Yuan, Liuhan Chen, Tanghui Jia, Junwu Zhang, Zhenyu Tang, Yatian Pang, Bin She, Cen Yan, Zhiheng Hu, Xiaoyi Dong, Lin Chen, Zhang Pan, Xing Zhou, Shaoling Dong, Yonghong Tian, Li Yuan:
Open-Sora Plan: Open-Source Large Video Generation Model. - Lennart Köpper, Thomas Wieland:
Road User Classification from High-Frequency GNSS Data Using Distributed Edge Intelligence. - Friedhelm Hamann, Daniel Gehrig, Filbert Febryanto, Kostas Daniilidis, Guillermo Gallego:
Event-based Tracking of Any Point with Motion-Robust Correlation Features. - ShuaiHeng Li, Qing Cai, Fan Zhang, Menghuan Zhang, Yangyang Shu, Zhi Liu, Huafeng Li, Lingqiao Liu:
PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition. - Wenda Shi, Yiren Song, Dengming Zhang, Jiaming Liu, Xingxing Zou:
FonTS: Text Rendering with Typography and Style Controls. - Sihang Li, Siqi Tan, Bowen Chang, Jing Zhang, Chen Feng, Yiming Li:
Unleashing the Power of Data Synthesis in Visual Localization. - Muhammad Huzaifa, Yova Kementchedjhieva:
EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval. - Yihao Luo:
Differentiable Topology Estimating from Curvatures for 3D Shapes. - Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogerio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig:
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. - Sicheng Feng, Keda Tao, Huan Wang:
Is Oracle Pruning the True Oracle? - Rocco Manz Maruzzelli, Basile Lewandowski, Lydia Y. Chen:
MPQ-Diff: Mixed Precision Quantization for Diffusion Models. - Emily Liu, Michael Noseworthy, Nicholas Roy:
Semi-Supervised Neural Processes for Articulated Object Interactions. - Martin Atzmueller, Tim Bohne, Patricia Windler:
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis. - Yuichiro Kasahara, Kota Akinari, Tomoya Kouno, Noriko Sano, Taro Abe, Genki Yamauchi, Daisuke Endo, Takeshi Hashimoto, Keiji Nagatani, Ryo Kurazume:
Development of CPS Platform for Autonomous Construction. - Karran Pandey, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra, Paul Guerrero:
Motion Modes: What Could Happen Next? - Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee:
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. - Ahmad Mohammadshirazi, Pinaki Prasad Guha Neogi, Ser-Nam Lim, Rajiv Ramnath:
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness. - Quentin Houbre, Roel Pieters:
Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery. - Kunyang Han, Yibo Hu, Mengxue Qu, Hailin Shi, Yao Zhao, Yunchao Wei:
ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model. - Yuxiang Zhang, Shangxi Wu, Yuqi Yang, Jiangming Shu, Jinlin Xiao, Chao Kong, Jitao Sang:
o1-Coder: an o1 Replication for Coding. - Vadim Pryadilshchikov, Alexander Markin, Artem Komarichev, Ruslan Rakhimov, Peter Wonka, Evgeny Burnaev:
T-3DGS: Removing Transient Objects for 3D Scene Reconstruction. - Taesung Kwon, Jong Chul Ye:
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models. - Fuqiang Zhao, Yijing Guo, Siyuan Yang, Xi Chen, Luo Wang, Lan Xu, Yingliang Zhang, Yujiao Shi, Jingyi Yu:
AerialGo: Walking-through City View Generation from Aerial Perspectives. - Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. - Di Chen, Ruiguo Zhong, Kehua Chen, Zhiwei Shang, Meixin Zhu, Edward Chung:
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections. - Mengbang Zou, Weisi Guo:
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data. - Fouad Trad, Ali Chehab:
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models. - Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian:
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. - Weixin Mao, Weiheng Zhong, Zhou Jiang, Dong Fang, Zhongyue Zhang, Zihan Lan, Fan Jia, Tiancai Wang, Haoqiang Fan, Osamu Yoshie:
RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World. - Jesús Pineda, Sergi Masó-Orriols, Joan Bertran, Mattias Goksör, Giovanni Volpe, Carlo Manzo:
Spatial Clustering of Molecular Localizations with Graph Neural Networks. - Jianping Jiang, Weiye Xiao, Zhengyu Lin, Huaizhong Zhang, Tianxiang Ren, Yang Gao, Zhiqian Lin, Zhongang Cai, Lei Yang, Ziwei Liu:
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters. - Dragos-Alexandru Boldisor, Stefan Smeu, Dan Oneata, Elisabeta Oneata:
Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning. - Hui Ren, Joanna Materzynska, Rohit Gandikota, David Bau, Antonio Torralba:
Art-Free Generative Models: Art Creation Without Graphic Art Knowledge. - Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers, Anand Bhattad:
LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting. - Michele De Vita, Vasileios Belagiannis:
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation. - Bartosz Sawicki, Michal Smialek, Bartlomiej Skowron:
Towards the Ultimate Programming Language: Trust and Benevolence in the Age of Artificial Intelligence. - Huiqi Zou, Pengda Wang, Zihan Yan, Tianjun Sun, Ziang Xiao:
Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots. - Xinmeng Hou, Lingyue Fu, Chenhao Meng, Hai Hu:
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction. - Md Bokhtiar Al Zami, Shaba Shaon, Vu Khanh Quy, Dinh C. Nguyen:
Digital Twin in Industries: A Comprehensive Survey. - Zixing Wang Yi Zhang, Fulvio Forni:
Dissipative iFIR filters for data-driven design. - Luca Collini, Siddharth Garg, Ramesh Karri:
C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap. - Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Mohammad Wardat, Mst Shapna Akter:
Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code. - Ivory Yang, Weicheng Ma, Soroush Vosoughi:
NushuRescue: Revitalization of the Endangered Nushu Language with AI. - Apurba Saha, Iftekhar Hakim Kaowsar, Mahdi Hasnat Siyam, M. Sohel Rahman:
Algorithms for Parameterized String Matching with Mismatches. - Saurabh Mishra, Mahendra Shinde, Aniket Yadav, Bilal Ayyub, Anand Rao:
An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement. - Michail Koumpanakis, Ricardo Vilalta:
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks. - Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed Badawy, Mahdi Fazeli, Ahmad Patooghy:
MATTER: Multi-stage Adaptive Thermal Trojan for Efficiency & Resilience degradation. - Udo Hahn:
Clinical Document Corpora and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data. - Aaron Bateni:
Hybrid Spiking Neural Network - Transformer Video Classification Model. - Junbo Jacob Lian:
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification. - Orlando Marquez Ayala, Patrice Béchard:
Generating a Low-code Complete Workflow via Task Decomposition and RAG. - H. Çagri Bilgi, Lydia Y. Chen, Kubilay Atasu:
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations. - Shaoxiang Wang, Yaxu Xie, Chun-Peng Chang, Christen Millerdurai, Alain Pagani, Didier Stricker:
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction. - Qiujing Lu, Meng Ma, Ximiao Dai, Xuanhan Wang, Shuo Feng:
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model. - Gordon Lim, Stefan Larson, Kevin Leach:
Robust Testing for Deep Learning using Human Label Noise. - Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen:
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. - Devin Murphy, Junyi Zhu, Paul Pu Liang, Wojciech Matusik, Yiyue Luo:
WiReSens Toolkit: An Open-source Platform towards Accessible Wireless Tactile Sensing. - Oscar Plaisant, Max Lemoine:
Pourquoi existe-t-il de nombreux paradigmes de programmation ? - Talha Tahir:
Fine Tuning Large Language Models to Deliver CBT for Depression. - Poorva Shukla, Bassam Bamieh:
Localization Phenomena in Large-Scale Networked Systems: Implications for Fragility. - Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa:
EF2X Exists For Four Agents. - Simon Mielke, Anthony Stein:
Excretion Detection in Pigsties Using Convolutional and Transformerbased Deep Neural Networks. - Yifan Zhu, Tianyi Xiang, Aaron Dollar, Zherong Pan:
One-Shot Real-to-Sim via End-to-End Differentiable Simulation and Rendering. - Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach:
Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification. - João Mattos, Zexi Huang, Mert Kosan, Ambuj Singh, Arlei Silva:
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction. - Patrick Sattler, Matthias Kirstein, Lars Wüstrich, Johannes Zirngibl, Georg Carle:
Lazy Eye Inspection: Capturing the State of Happy Eyeballs Implementations. - Jialong Li, Federico De Marchi, Yiming Lei, Raj Joshi, Balakrishnan Chandrasekaran, Yiting Xia:
Unlocking Diversity of Fast-Switched Optical Data Center Networks with Unified Routing. - Gengzhi He, Curtis Sparks, Nicholas Gravish:
Grasping and Rolling In-plane Manipulation Using Deployable Tape spring Appendages. - Giacomo Bastianel, Marta Vanin, Dirk Van Hertem, Hakan Ergun:
Optimal Transmission Switching and Busbar Splitting in Hybrid AC/DC Grids. - Noemí DeCastro-García, Miguel V. Carriegos, Ángel Luis Muñoz Castañeda:
Construction of observable and MDP convolutional codes with good decodable properties for erasure channels by I/S/O representations. - Feng Xu, David Ahmedt-Aristizabal, Lars Petersson, Dadong Wang, Xun Li:
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation. - Tao Sun, Sander Bohté:
Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression. - Oscar Díaz, Xabier Garmendia, Juanan Pereira:
Streamlining the review process: AI-generated annotations in research manuscripts. - Judy X. Yang, Jing Wang, Zekun Long, Chenhong Sui, Jun Zhou:
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning. - Yuta Mizuno, Mohammad Ali, Tamiki Komatsuzaki:
Enumeration algorithms for combinatorial problems using Ising machines. - Avirath Sundaresan, Jason R. Parham, Jonathan Crall, Rosemary Warungu, Timothy Muthami, Margaret Mwangi, Jackson Miliko, Jason Holmberg, Tanya Y. Berger-Wolf, Daniel Rubenstein, Charles V. Stewart, Sara Beery:
Adapting the re-ID challenge for static sensors. - Jianhao Jiao, Ruoyu Geng, Yuanhang Li, Ren Xin, Bowen Yang, Jin Wu, Lujia Wang, Ming Liu, Rui Fan, Dimitrios Kanoulas:
Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments. - Michael Jünger, Paul J. Jünger, Petra Mutzel, Gerhard Reinelt:
PACE Solver Description: Exact Solution of the One-sided Crossing Minimization Problem by the MPPEG Team. - Akash Karthikeyan, Yash Vardhan Pant:
Adaptformer: Sequence models as adaptive iterative planners. - Robert Simon Fong, Boyu Li, Peter Tino:
Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signals. - Michael V. Klibanov, Trung Truong:
The Second Generation of the Convexification Method for a Coefficient Inverse Problem of the Epidemiology. - Owen Burns, Dana Hughes, Katia Sycara:
PlanCritic: Formal Planning with Human Feedback. - Hadi Hosseini, Duohan Zhang:
Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives. - Judy X. Yang, Jing Wang, Chen Hong Sui, Zekun Long, Jun Zhou:
HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks. - Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, He Zhang, Wei Xiong, Zhe Lin, Brian Price, Scott Cohen, Jianming Zhang, Daniel Aliaga:
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment. - Karine Karine, Susan A. Murphy, Benjamin M. Marlin:
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings. - Feiyang Liu, Dan Guo, Jingyuan Xu, Zihao He, Shengeng Tang, Kun Li, Meng Wang:
Towards Pixel-Level Prediction for Gaze Following: Benchmark and Approach. - Kazi Nazmul Haque, Rajib Rana, Tasnim Jarin, Bjorn W. Schuller Jr:
Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN). - Olivier Nourry, Masanari Kondo, Shinobu Saito, Yukako Iimura, Naoyasu Ubayashi, Yasutaka Kamei:
Myth: The loss of core developers is a critical issue for OSS communities. - Fangzhou Xu, Sai Zhang, Zhenchang Xing, Xiaowang Zhang, Yahong Han, Zhiyong Feng:
Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension. - Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang:
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs. - Shaohan Yu, Pan Deng, Yu Zhao, Junting Liu, Zi'ang Wang:
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting. - Peixiang Wang, Binbin Li:
Bayesian FFT Modal Identification for Multi-setup Experimental Modal Analysis. - Nikhil Kumar Koditala, Chelsea Jui-Ting Ju, Ruirui Li, Minho Jin, Aman Chadha, Andreas Stolcke:
Improving speaker verification robustness with synthetic emotional utterances. - Yasuaki Sumita, Koh Takeuchi, Hisashi Kashima:
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments. - Daomin Ji, Hui Luo, Zhifeng Bao, Shane Culpepper:
Robust Table Integration in Data Lakes. - Jongmin Jung, Andreas Jansson, Dasaem Jeong:
MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI. - Negar Alizadeh, Boris Belchev, Nishant Saurabh, Patricia Kelbert, Fernando Castor:
Analyzing the Energy and Accuracy of LLMs in Software Development. - Martim Veiga, Carlos J. Costa:
Ethics and Artificial Intelligence Adoption. - Junli Deng, Yihao Luo:
Gaussians on their Way: Wasserstein-Constrained 4D Gaussian Splatting with State-Space Modeling. - Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang:
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices. - Conrad Zimmerman, Jenna DiVincenzo:
Gradual Exact Logic: Unifying Hoare Logic and Incorrectness Logic via Gradual Verification. - Hana Satou, Alan Mitkiy:
Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications. - Nadeen Fathallah, Monika Bhole, Steffen Staab:
Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models. - Takayuki Osogami, Hirota Kinoshita, Segev Wasserkrug:
Mechanism design with multi-armed bandit. - Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang:
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention. - Wei Zhou, Lei Zhao, Runyu Zhang, Yifan Cui, Hongpu Huang, Kun Qie, Chen Wang:
Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Survey. - Shanu Kumar, Saish Mendke, Karody Lubna Abdul Rahman, Santosh Kurasa, Parag Agrawal, Sandipan Dandapat:
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection. - Geethan Karunaratne, Michael Hersche, Abu Sebastian, Abbas Rahimi:
On the Role of Noise in Factorizers for Disentangling Distributed Representations. - Wesley H. Holliday:
Vagueness and the Connectives. - Sanghyun Kim, Moonseok Choi, Jinwoo Shin, Juho Lee:
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models. - Arash Ashuri, Vasilis Gkatzelis:
Simultaneously Satisfying MXS and EFL. - Md Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu:
Does Self-Attention Need Separate Weights in Transformers? - Yongke Wu, Xiaoping Xie:
Energy-stable mixed finite element methods for the Rosensweig ferrofluid flow model. - Kouki Wakita, Youhei Akimoto, Atsuo Maki:
Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks. - Huadong Tang, Youpeng Zhao, Yan Huang, Min Xu, Jun Wang, Qiang Wu:
LMSeg: Unleashing the Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation. - Weihang Guo, Zachary Kingston, Kaiyu Hang, Lydia E. Kavraki:
Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation. - Daniel Severo, Ashish Khisti, Alireza Makhzani:
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding. - Yang Li, Xing Zhang, Bo Lei, Qianying Zhao, Min Wei, Zheyan Qu, Wenbo Wang:
Incentive-Driven Task Offloading and Collaborative Computing in Device-Assisted MEC Networks. - Jim Solomon, Laleh Jalilian, Alexander Vilesov, Meryl Mathew, Tristan Grogan, Arash Bedayat, Achuta Kadambi:
2-Factor Retrieval for Improved Human-AI Decision Making in Radiology. - Dongfang Zhao:
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment. - Chetan Madan, Mayuna Gupta, Soumen Basu, Pankaj Gupta, Chetan Arora:
LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image. - Danilo Costarelli, Michele Piconi:
Implementation of neural network operators with applications to remote sensing data. - Changqing Ji, Keisuke Kawasaki, Isao Hasegwa, Takayuki Okatani:
Bi-Band ECoGNet for ECoG Decoding on Classification Task. - Zhaoxing Gan, Guangnan Ye:
DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation. - Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang:
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation. - Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He:
Unified Parameter-Efficient Unlearning for LLMs. - Chiya Zhang, Ting Wang, Rubing Han, Yuanxiang Gong:
Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach. - Daniel Camazón Portela, Álvaro Otero Sánchez, Juan Antonio López Ramos:
A generalization of Burmester-Desmedt GKE based on a non-abelian finite group action. - Zehao Li, Wenwei Han, Yujun Cai, Hao Jiang, Baolong Bi, Shuqin Gao, Honglong Zhao, Zhaoqi Wang:
GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision. - Shahrzad Khayatbashi, Najmeh Miri, Amin Jalali:
Advancing Object-Centric Process Mining with Multi-Dimensional Data Operations. - Martin Ziegler, Andres Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe:
On Foundation Models for Dynamical Systems from Purely Synthetic Data. - Daehwa Kim, Mario Srouji, Chen Chen, Jian Zhang:
ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning. - Yatian Pang, Bin Zhu, Bin Lin, Mingzhe Zheng, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan:
DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses. - Chen Zhou, Marlen Neubert, Yuri Koide, Yumeng Zhang, Van-Quan Vuong, Tobias Schlöder, Stefanie Dehnen, Pascal Friederich:
PAL - Parallel active learning for machine-learned potentials. - Weikai Xie, Li Zhang, Shihe Wang, Rongjie Yi, Mengwei Xu:
DroidCall: A Dataset for LLM-powered Android Intent Invocation. - Yuwei Fan, Tao Song, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang:
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data. - Daizong Liu, Yunbo Tao, Pan Zhou, Wei Hu:
Hard-Label Black-Box Attacks on 3D Point Clouds. - Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran:
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. - Yingchao Wang, Wenqi Niu:
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence. - Mohammad Hasan Rahmani, Rafael Berkvens, Maarten Weyn:
Seismocardiography for Emotion Recognition: A Study on EmoWear with Insights from DEAP. - Hongxuan Lu, Biao Li:
Sample adaptive data augmentation with progressive scheduling. - Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar:
ACTISM: Threat-informed Dynamic Security Modelling for Automotive Systems. - Steffen Dick, Christoph Bockisch, Harrie Passier, Lex Bijlsma, Ruurd Kuiper:
A Feedback Toolkit and Procedural Guidance for Teaching Thorough Testing. - Yu Shi, Yiqi Wang, WeiXuan Lang, Jiaxin Zhang, Pan Dong, Aiping Li:
Mixture of Experts for Node Classification. - Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert, Marie Weiel, Markus Götz, Ralf Mikut, Veit Hagenmeyer:
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability. - Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi:
TAROT: Targeted Data Selection via Optimal Transport. - Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut:
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching. - Guoli Wu, Zhiyong Feng, Shizhan Chen, Hongyue Wu, Xiao Xue, Jianmao Xiao, Guodong Fan, Hongqi Chen, Jingyu Li:
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms. - Harleen Kaur Bagga, Jasmine Bernard, Sahil Shaheen, Sarthak Arora:
Was that Sarcasm?: A Literature Survey on Sarcasm Detection. - Ayoub Hammal, Benno Uthayasooriyar, Caio Corro:
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection. - Teng-Fang Hsiao, Bo-Kai Ruan, Sung-Lin Tsai, Yi-Lun Wu, Hong-Han Shuai:
FreeCond: Free Lunch in the Input Conditions of Text-Guided Inpainting. - Sharva Gogawale, Madhura Deshpande, Parteek Kumar, Irad Ben-Gal:
Learner Attentiveness and Engagement Analysis in Online Education Using Computer Vision. - Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen:
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. - Yuhai Wang, Maryam Pishgar:
Dynamic Token Selection for Aerial-Ground Person Re-Identification. - Shipeng Liu, Boshen Zhang, Zhehui Huang:
Benchmark Real-time Adaptation and Communication Capabilities of Embodied Agent in Collaborative Scenarios. - Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang:
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training. - Mohammad Taha Shah, Gourab Ghatak, Shobha Sundar Ram:
Fine Grained Analysis and Optimization of Large Scale Automotive Radar Networks. - Marco Favino:
Fractures and thin heterogeneities as Robin-Wentzell interface conditions. - Lukas Baumgärtner, Ronny Bergmann, Roland Herzog, Stephan Schmidt, Manuel Weiß:
Two Models for Surface Segmentation using the Total Variation of the Normal Vector. - Yongqi Zhai, Jiayu Yang, Wei Jiang, Chunhui Yang, Luyang Tang, Ronggang Wang:
Hybrid Local-Global Context Learning for Neural Video Compression. - Xubing Ye, Yukang Gan, Yixiao Ge, Xiao-Ping Zhang, Yansong Tang:
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models. - Atharva Deshpande, Kaushik Gopalan, Jeet Shah, Hrishikesh Simu:
A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge. - Yuxin Tian, Mouxing Yang, Yuhao Zhou, Jian Wang, Qing Ye, Tongliang Liu, Gang Niu, Jiancheng Lv:
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels. - Neil Jerome A. Egarguin, Daniel Onofrei:
Personal Sound Zones and Shielded Localized Communication through Active Acoustic Control. - Mohammed Q. Shormani:
Non-native speakers of English or ChatGPT: Who thinks better? - Weizhe Liu, Renshuai Tao, Hongguang Zhu, Yunda Sun, Yao Zhao, Yunchao Wei:
BGM: Background Mixup for X-ray Prohibited Items Detection. - Gabriel Pedroza:
On the Conditions for Domain Stability for Machine Learning: a Mathematical Approach. - Yutong Zhou, Masahiro Ryo:
AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models. - Sameera Bharadwaja H., Chandra R. Murthy:
A Probably Approximately Correct Analysis of Group Testing Algorithms. - Ramin Mousa, Saeed Chamani, Mohammad Morsali, Mohammad Kazzazi, Parsa Hatami, Soroush Sarabi:
Enhancing Skin Cancer Diagnosis (SCD) Using Late Discrete Wavelet Transform (DWT) and New Swarm-Based Optimizers. - Yu Wang, Xiaofei Zhou, Yichen Wang, Geyuan Zhang, Tianxing He:
Jailbreak Large Vision-Language Models Through Multi-Modal Linkage. - Chenggang Yang, Yuang Shi:
LineGS : 3D Line Segment Representation on 3D Gaussian Splatting. - Xinyu Lin, Tianyu Zhang, Chengbin Hou, Jinbao Wang, Jianye Xue, Hairong Lv:
Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs. - Roberto Ulloa, Frank Mangold, Felix Schmidt, Judith Gilsbach, Sebastian Stier:
Beyond time delays: How web scraping distorts measures of online news consumption. - Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li:
Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows. - Jiasi Zhou, Cong Zhou, Yijie Mao, Chintha Tellambura:
Joint Beam Scheduling and Resource Allocation for Flexible RSMA-aided Near-Field Communications. - Alicia Bremer, Jeff Orchard:
Improved Cleanup and Decoding of Fractional Power Encodings. - Chade Li, Pengju Zhang, Yihong Wu:
Density-aware Global-Local Attention Network for Point Cloud Segmentation. - Samuel Mallick, Azita Dabiri, Bart De Schutter:
Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees. - Yan Wang, Jimin Huang, Huan He, Vincent J. Zhang, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, Fongci Lin, Yan Hu, Licong Cui, Xiaoqian Jiang, Hua Xu, Na Hong:
CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models. - Yuchen Zhao:
A Delay-free Control Method Based On Function Approximation And Broadcast For Robotic Surface And Multiactuator Systems. - Duo Zheng, Shijia Huang, Liwei Wang:
Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding. - Roland Becker, Malte Braack:
Mapped coercivity for the stationary Navier-Stokes equations and their finite element approximations. - Ismail Lotfi, Nouf Alabbasi, Omar Alhussein:
Rethinking Strategic Mechanism Design In The Age Of Large Language Models: New Directions For Communication Systems. - Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn:
Distributed Differentially Private Data Analytics via Secure Sketching. - Sealtiel B. Dy, Robert Joachim O. Encinas, Daphne Janelyn L. Go, Kyle Carlo C. Lasala, Bentley Andrew Y. Lu, Maria Monica Manlises, Jordan Aiko Deja:
Point n Move: Designing a Glove-Based Pointing Device. - Xinxin Zhang, S. Hassan HosseinNia:
Enhancing the Reliability of Closed-Loop Describing Function Analysis for Reset Control Applied to Precision Motion Systems. - Leonid Kotyuzanskiy, Artem Klimov:
Homeostasis and Sparsity in Transformer. - Jona Ballé, Luca Versari, Emilien Dupont, Hyunjik Kim, Matthias Bauer:
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion. - Faith Griffin, Kevin Abelgas, Kriz Royce Tahimic, Andrei Kevin Chua, Jordan Aiko Deja, Tyrone Justin Sta Maria:
How Fitts' Fits in 3D: A Tangible Twist on Spatial Tasks. - Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo Choi:
Scalable nonlinear manifold reduced order model for dynamical systems. - Lukas Schulze Balhorn, Kevin Degens, Artur M. Schweidtmann:
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence. - Tyrone Justin Sta Maria, Jordan Aiko Deja:
Alexa, I Wanna See You: Envisioning Smart Home Assistants for the Deaf and Hard-of-Hearing. - Xinzheng Wu, Junyi Chen, Xingyu Xing, Jian Sun, Ye Tian, Lihao Liu, Yong Shen:
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization. - Amir Barda, Matheus Gadelha, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix:
Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects. - Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger:
A Self-Explainable Heterogeneous GNN for Relational Deep Learning. - Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen:
GloCOM: A Short Text Neural Topic Model via Global Clustering Context. - Matyas Bohacek, Hany Farid:
Human Action CLIPS: Detecting AI-generated Human Motion. - Siyu Cen, Bangti Jin, Xiyao Li, Zhi Zhou:
Imaging Anisotropic Conductivity from Internal Measurements with Mixed Least-Squares Deep Neural Networks. - Thomas Baumann, Sebastian Götschel, Thibaut Lunet, Daniel Ruprecht, Robert Speck:
Resilience Against Soft Faults through Adaptivity in Spectral Deferred Correction. - Edith Haim, Natalie Fischer, Salvatore Citraro, Giulio Rossetti, Massimo Stella:
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters. - Hans Matthew Abello, Maxine Beatriz Badiola, Mark John Custer, Lorane Bernadeth Fausto, Patrick Josh Leonida, Denzel Bryan Yongco, Jordan Aiko Deja:
Simon Says: Exploring the Importance of Notification Design Formats on User Engagement. - Ali Shiraee Kasmaee, Mohammad Khodadad, Mohammad Arshi Saloot, Nick Sherck, Stephen Dokas, Hamidreza Mahyar, Soheila Samiee:
ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain. - Gabriel Mantegna, Ziting Huang, Guillaume Van Caelenberg, Bethany Frew, Muireann Lynch, Mark O'Malley:
Maintaining reliability while navigating unprecedented uncertainty: a synthesis of and guide to advances in electric sector resource adequacy. - Yuchen Shi, Huaxin Pei, Liang Feng, Yi Zhang, Danya Yao:
Towards Fault Tolerance in Multi-Agent Reinforcement Learning. - Yao Cheng, Jianfeng Chen, Jie Chen, Li Chen, Liyu Chen, Wentao Chen, Zhengyu Chen, Shijie Geng, Aoyan Li, Bo Li, Bowen Li, Linyi Li, Boyi Liu, Jerry Liu, Kaibo Liu, Qi Liu, Shukai Liu, Siyao Liu, Tianyi Liu, Tingkai Liu, Yongfei Liu, Rui Long, Jing Mai, Guanghan Ning, Z. Y. Peng, Kai Shen, Jiahao Su, Jing Su, Tao Sun, Yifan Sun, Yunzhe Tao, Guoyin Wang, Siwei Wang, Xuwu Wang, Yite Wang, Zihan Wang, Jinxiang Xia, Liang Xiang, Xia Xiao, Yongsheng Xiao, Chenguang Xi, Shulin Xin, Jingjing Xu, Shikun Xu, Hongxia Yang, Jack Yang, Yingxiang Yang, Jianbo Yuan, Jun Zhang, Yufeng Zhang, Yuyu Zhang, Shen Zheng, He Zhu, Ming Zhu:
FullStack Bench: Evaluating LLMs as Full Stack Coders. - Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar:
Exact Certification of (Graph) Neural Networks Against Label Poisoning. - Ayush Mohanty, Jason Dekarske, Stephen K. Robinson, Sanjay S. Joshi, Nagi Gebraeel:
Prognostic Framework for Robotic Manipulators Operating Under Dynamic Task Severities. - Bastián González-Bustamante:
TextClass Benchmark: A Continuous Elo Rating of LLMs in Social Sciences. - Negin Amirshirzad, Mehmet Arda Eren, Erhan Öztop:
Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control. - Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong:
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. - Noah Lee, Jiwoo Hong, James Thorne:
Evaluating the Consistency of LLM Evaluators. - Daniel Kyselica, Marek Suppa, Jirí Silha, Roman Durikovic:
RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification. - Mohsen Dehghankar, Abolfazl Asudeh:
Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks. - Tianshuo Xu, Zhifei Chen, Leyi Wu, Hao Lu, Yuying Chen, Lihui Jiang, Bingbing Liu, Yingcong Chen:
Motion Dreamer: Realizing Physically Coherent Video Generation through Scene-Aware Motion Reasoning. - Yuta Takahashi:
Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control. - Jebish Purbey, Siddhant Gupta, Nikhil Manali, Siddartha Pullakhandam, Drishti Sharma, Ashay Srivastava, Ram Mohan Rao Kadiyala:
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains. - Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou:
A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals. - Yue Zhou, Barbara Di Eugenio, Lu Cheng:
Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective. - Muqing Cao, Xinhang Xu, Yizhuo Yang, Jianping Li, Tongxing Jin, Pengfei Wang, Tzu-Yi Hung, Guosheng Lin, Lihua Xie:
Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation. - Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu:
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. - Michail Dontas, Yutong He, Naoki Murata, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov:
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion. - Lukasz Grzybowski, Jakub Pokrywka, Michal Ciesiólka, Jeremi Kaczmarek, Marek Kubis:
Polish Medical Exams: A new dataset for cross-lingual medical knowledge transfer assessment. - Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection. - Gennaro Auricchio, Jie Zhang:
Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents. - Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina J. Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles Cranmer, Shirley Ho:
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning. - Akhila Vangara, Alex Egg:
Contextual Bandits in Payment Processing: Non-uniform Exploration and Supervised Learning at Adyen. - Yupei Li, Manuel Milling, Lucia Specia, Björn W. Schuller:
From Audio Deepfake Detection to AI-Generated Music Detection - A Pathway and Overview. - Théo Fagnoni, Bellinda Mesbah, Mahsun Altin, Phillip Kingston:
Opus: A Large Work Model for Complex Workflow Generation. - Mattson Ogg, Ritwik Bose, Jamie Scharf, Christopher R. Ratto, Michael Wolmetz:
Turing Representational Similarity Analysis (RSA): A Flexible Method for Measuring Alignment Between Human and Artificial Intelligence. - Alex Hanson, Allen Tu, Geng Lin, Vasu Singla, Matthias Zwicker, Tom Goldstein:
Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives. - Tingxu Han, Weisong Sun, Yanrong Hu, Chunrong Fang, Yonglong Zhang, Shiqing Ma, Tao Zheng, Zhenyu Chen, Zhenting Wang:
Continuous Concepts Removal in Text-to-image Diffusion Models. - Jason Gibson, Anoushka Alavilli, Erica Tevere, Evangelos A. Theodorou, Patrick Spieler:
Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving. - Fredrik Heiding, Simon Lermen, Andrew Kao, Bruce Schneier, Arun Vishwanath:
Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects. - Luca A. Lanzendörfer, Florian Grötschla, Uzeyir Valizada, Roger Wattenhofer:
Audio Atlas: Visualizing and Exploring Audio Datasets. - Shing-Hei Ho, Bao Thach, Minghan Zhu:
Generative LiDAR Editing with Controllable Novel Object Layouts. - Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao:
PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation. - Lawrence Chen, Peter Schaldenbrand, Tanmay Shankar, Lia Coleman, Jean Oh:
Spline-FRIDA: Towards Diverse, Humanlike Robot Painting Styles with a Sample-Efficient, Differentiable Brush Stroke Model. - Abdelrahman Abdallah, Jamshid Mozafari, Bhawna Piryani, Mohammed M. Abdelgwad, Adam Jatowt:
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification. - Vít Krátký, Robert Penicka, Jiri Horyna, Petr Stibinger, Tomás Báca, Matej Petrlík, Petr Stepan, Martin Saska:
CAT-ORA: Collision-Aware Time-Optimal Formation Reshaping for Efficient Robot Coordination in 3D Environments. - Steffen Schotthöfer, Beckett Y. Zhou, Tim Albring, Nicolas R. Gauger:
Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization. - Stephen Elbourn:
The Impact of Generative AI on Student Churn and the Future of Formal Education. - Resmi Ramachandranpillai, Kishore Sampath, Ayaazuddin Mohammad, Malihe Alikhani:
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions. - Mohammad Sadeq Abolhasani, Rong Pan:
Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation. - Andrew Root, Liam Jakubowski, Mounika Vanamala:
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning. - Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Feng Liu:
Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem. - Ye Zheng, Yidan Hu:
TraCS: Trajectory Collection in Continuous Space under Local Differential Privacy. - Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu:
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. - Heitor Rapela Medeiros, Atif Belal, Srikanth Muralidharan, Eric Granger, Marco Pedersoli:
Visual Modality Prompt for Adapting Vision-Language Object Detectors. - Chensheng Peng, Ido Sobol, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu, Or Litany:
A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision. - Yogesh Kulkarni, Pooyan Fazli:
VideoSAVi: Self-Aligned Video Language Models without Human Supervision. - You Wu, Xiangyang Yang, Xucheng Wang, Hengzhou Ye, Dan Zeng, Shuiwang Li:
MambaNUT: Nighttime UAV Tracking via Mamba and Adaptive Curriculum Learning. - Rithik Vir, Parsa Madinei:
ARChef: An iOS-Based Augmented Reality Cooking Assistant Powered by Multimodal Gemini LLM. - Peng Zhang, Baosen Zhang:
Online Voltage Regulation of Distribution Systems with Disturbance-Action Controllers. - Yihao Zhou, Haowei Xu, Lili Zhang, Shengdong Zhao:
Collective Creation of Intimacy: Exploring the Cosplay Commission Practice within the Otome Game Community in China. - Yang Wu, Huayi Zhang, Yizheng Jiao, Lin Ma, Xiaozhong Liu, Jinhong Yu, Dongyu Zhang, Dezhi Yu, Wei Xu:
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning. - Jiasi Zhou, Cong Zhou, Cheng Zeng, Chintha Tellambura:
Flexible Rate-Splitting Multiple Access for Near-Field Integrated Sensing and Communications. - Ke Li, Yaqin Zhang, Yunqing Huang, Chenyue Xie, Xueshuang Xiang:
Adaptive Basis-inspired Deep Neural Network for Solving Partial Differential Equations with Localized Features. - Hao Jin, Hengyuan Chang, Xiaoxuan Xie, Zhengyang Wang, Xusheng Du, Shaojun Hu, Haoran Xie:
Sketch-Guided Motion Diffusion for Stylized Cinemagraph Synthesis. - Mahdi Erfanian, Mohsen Dehghankar, Abolfazl Asudeh:
Needle: A Generative-AI Powered Monte Carlo Method for Answering Complex Natural Language Queries on Multi-modal Data. - Mahmoud Abo Khamis, Kyle Deeds, Dan Olteanu, Dan Suciu:
Pessimistic Cardinality Estimation. - Jingyang Xiang, Sai Qian Zhang:
DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation. - Minghao Han, Dingkang Yang, Jiabei Cheng, Xukun Zhang, Linhao Qu, Zizhi Chen, Lihua Zhang:
Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics. - Zefang Liu:
Multi-Agent Collaboration in Incident Response with Large Language Models. - Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng:
Predictive Inference With Fast Feature Conformal Prediction. - Hongrui Lu, Yuxiong Huang, Tong He, Gengfeng Li:
Two-Stage Adaptive Robust Optimization Model for Joint Unit Maintenance and Unit Commitment Considering Source-Load Uncertainty. - Son Pham Tien, Hieu Nguyen Doan, An Nguyen Dai, Sang Dinh Viet:
Improving Vietnamese Legal Document Retrieval using Synthetic Data. - Emile Anand, Ishani Karmarkar, Guannan Qu:
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning. - Zhi Qi, Shihong Yuan, Yuyin Yuan, Linling Kuang, Yoshiyuki Kabashima, Xiangming Meng:
Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint. - Yingjian Chen, Lei Zhang, Yakun Niu, Lei Tan, Pei Chen:
Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection. - Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto:
Explaining Object Detectors via Collective Contribution of Pixels. - Yunpeng Bai, Qixing Huang:
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation. - Carson Kohlbrenner, Caleb Escobedo, Nataliya Nechyporenko, Alessandro Roncone:
A Sensor Position Localization Method for Flexible, Non-Uniform Capacitive Tactile Sensor Arrays. - Joey Rivkin, Gregory Valiant, Paul Valiant:
A Generalized Trace Reconstruction Problem: Recovering a String of Probabilities. - Faisal Haque Bappy, Joon S. Park, Kamrul Hasan, Tariqul Islam:
ChainGuard: A Blockchain-based Authentication and Access Control Scheme for Distributed Networks. - Jingwei Zhang, Anh Tien Nguyen, Xi Han, Vincent Quoc-Huy Trinh, Hong Qin, Dimitris Samaras, Mahdi S. Hosseini:
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification. - Atahan Dokme, Raj Kiriti Velicheti, Melih Bastopcu, Tamer Basar:
Remote Estimation Games with Random Walk Processes: Stackelberg Equilibrium. - Tahrim Hossain, Faisal Haque Bappy, Tarannum Shaila Zaman, Tariqul Islam:
SEAM: A Secure Automated and Maintainable Smart Contract Upgrade Framework. - S. M. Jishanul Islam, Sahid Hossain Mustakim, Sadia Ahmmed, Md. Faiyaz Abdullah Sayeedi, Swapnil Khandoker, Syed Tasdid Azam Dhrubo, Nahid Hossain:
MIMIC: Multimodal Islamophobic Meme Identification and Classification. - Phu Pham, Damon Conover, Aniket Bera:
FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting. - Tongshun Zhang, Pingping Liu, Ming Zhao, Haotian Lv:
DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement. - Zilin Du, Haoxin Li, Jianfei Yu, Boyang Li:
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding. - Muhammad Fetrat Qharabagh, Mohammadreza Ghofrani, Kimon Fountoulakis:
LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models. - Mohamad Haj Fares, Ahmed Mohamed Saad Emam Saad:
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture. - Carson Kohlbrenner, Mitchell Murray, Yutong Zhang, Caleb Escobedo, Thomas Dunnington, Nolan Stevenson, Nikolaus Correll, Alessandro Roncone:
A Machine Learning Approach to Contact Localization in Variable Density Three-Dimensional Tactile Artificial Skin. - Rizwanul Haque, SM Tareq Aziz, Tahrim Hossain, Faisal Haque Bappy, Muhammad Nur Yanhaona, Tariqul Islam:
Collaborative Proof-of-Work: A Secure Dynamic Approach to Fair and Efficient Blockchain Mining. - Yuang Wei, Yuan-Hao Jiang, Jiayi Liu, Changyong Qi, Rui Jia:
The Advancement of Personalized Learning Potentially Accelerated by Generative AI. - Yizhou Wang, Tim Meinhardt, Orcun Cetintas, Cheng-Yen Yang, Sameer Satish Pusegaonkar, Benjamin Missaoui, Sujit Biswas, Zheng Tang, Laura Leal-Taixé:
BEV-SUSHI: Multi-Target Multi-Camera 3D Detection and Tracking in Bird's-Eye View. - Tao Huang, Qingyu Huang, Jiayang Meng:
Intermediate Outputs Are More Sensitive Than You Think. - Tan Le, Van Le:
DISCO-Dynamic Interference Suppression for Radar and Communication Cohabitation. - Jun Ye:
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods. - Guang Wu, Xinbiao Gan, Zhengbin Pang, Bo Huang, Bopin Ran:
Efficient Kernelization Algorithm for Bipartite Graph Matching. - Annika Wilde, Tim Niklas Gruel, Claudio Soriente, Ghassan Karame:
The Forking Way: When TEEs Meet Consensus. - Yue Liu, Chakkrit Tantithamthavorn, Li Li:
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions. - Carson Kohlbrenner, Caleb Escobedo, S. Sandra Bae, Alexander Dickhans, Alessandro Roncone:
GenTact Toolbox: A Computational Design Pipeline to Procedurally Generate Context-Driven 3D Printed Whole-Body Tactile Skins. - Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen:
Scaling New Frontiers: Insights into Large Recommendation Models. - Marina Drygala, Silvio Lattanzi, Andreas Maggiori, Miltiadis Stouras, Ola Svensson, Sergei Vassilvitskii:
Data-Driven Solution Portfolios. - Shuling Zhao, Fa-Ting Hong, Xiaoshui Huang, Dan Xu:
Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation. - Ruifan Huang, Haixia Liu:
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning. - Zheshu Song, Ziyang Ma, Yifan Yang, Jianheng Zhuo, Xie Chen:
A Comparative Study of LLM-based ASR and Whisper in Low Resource and Code Switching Scenario. - Ziyang Huang, Jun Zhao, Kang Liu:
Towards Adaptive Mechanism Activation in Language Agent. - Yuzhan Wang, Sicong Liu, Bin Guo, Boqi Zhang, Ke Ma, Yasan Ding, Hao Luo, Yao Li, Zhiwen Yu:
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devices. - Ke Yan:
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games. - Sayak Chakrabarty, Souradip Pal:
Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach. - Naman Deep Singh, Francesco Croce, Matthias Hein:
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP. - Qipeng Wang, Rui Sheng, Shaolun Ruan, Xiaofu Jin, Chuhan Shi, Min Zhu:
SynthLens: Visual Analytics for Facilitating Multi-step Synthetic Route Design. - Marius Kästingschäfer, Théo Gieruc, Sebastian Bernhard, Dylan Campbell, Eldar Insafutdinov, Eyvaz Najafli, Thomas Brox:
SEED4D: A Synthetic Ego-Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark. - Ajith Balakrishnan, Sreeja S, Linu Shine:
Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using Attention. - Kazuhiro Miyama, Shun Hasegawa, Kento Kawaharazuka, Naoya Yamaguchi, Kei Okada, Masayuki Inaba:
Design of a Five-Fingered Hand with Full-Fingered Tactile Sensors Using Conductive Filaments and Its Application to Bending after Insertion Motion. - Jiahao Cui, Hui Li, Yun Zhan, Hanlin Shang, Kaihui Cheng, Yuqi Ma, Shan Mu, Hang Zhou, Jingdong Wang, Siyu Zhu:
Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Diffusion Transformer Networks. - Hanlin Chen, Fangyin Wei, Gim Hee Lee:
ChatSplat: 3D Conversational Gaussian Splatting. - Julian Berberich, Robert L. Kosut, Thomas Schulte-Herbrüggen:
Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems. - Yuya Koga, Kento Kawaharazuka, Moritaka Onitsuka, Tasuku Makabe, Kei Tsuzuki, Yusuke Omura, Yuki Asano, Kei Okada, Masayuki Inaba:
Modification of muscle antagonistic relations and hand trajectory on the dynamic motion of Musculoskeletal Humanoid. - Jun Wan, He Liu, Yujia Wu, Zhihui Lai, Wenwen Min, Jun Liu:
Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer. - Margarita Gapeyenko, Stefano Paris, Markus Isomäki, Boyan Yanakiev, Abolfazl Amiri, Benoist Sébire, Jorma Kaikkonen, Chunli Wu, Klaus I. Pedersen:
Overview of NR Enhancements for Extended Reality (XR) in 3GPP 5G-Advanced. - Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective. - Haowei Sun, Jinwu Hu, Zhirui Zhang, Haoyuan Tian, Xinze Xie, Yufeng Wang, Zhuliang Yu, Xiaohua Xie, Mingkui Tan:
A Cross-Scene Benchmark for Open-World Drone Active Tracking. - Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao:
BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. - Gordana Dodig-Crnkovic:
Exploring Cognition through Morphological Info-Computational Framework. - Kaixin Zhang, Hongzhi Wang, Kunkai Gu, Ziqi Li, Chunyu Zhao, Yingze Li, Yu Yan:
MERLIN: Multi-stagE query performance prediction for dynamic paRallel oLap pIpeliNe. - Gordana Dodig-Crnkovic:
Rethinking Cognition: Morphological Info-Computation and the Embodied Paradigm in Life and Artificial Intelligence. - Jian Liu, Zhen Yu:
CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images. - Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu:
Multi-View Incongruity Learning for Multimodal Sarcasm Detection. - Xin Xie, Dong Gong:
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling. - Jose Miguel Lara Rangel, Stefan Schoepf, Jack Foster, David Krueger, Usman Anwar:
Learning to Forget using Hypernetworks. - Hao Dong, Wei Wei:
PGSO: Prompt-based Generative Sequence Optimization Network for Aspect-based Sentiment Analysis. - Aihua Pei, Zehua Yang, Shunan Zhu, Ruoxi Cheng, Ju Jia:
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts. - Linhai Zhuo, Zheng Wang, Yuqian Fu, Tianwen Qian:
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting. - Anwesha Mukherjee, Rajkumar Buyya:
EnFed: An Energy-aware Opportunistic Federated Learning in Resource Constrained Environments for Human Activity Recognition. - Raynor Kirkson E. Chavez, Kyle Gabriel M. Reynoso:
Explorations in Self-Supervised Learning: Dataset Composition Testing for Object Classification. - Xiangkai Ma, Xiaobin Hong, Wenzhong Li, Sanglu Lu:
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series. - Haoyang Long, Yan Wang, Wendong Wang:
DIVD: Deblurring with Improved Video Diffusion Model. - Sankha Das, Amit Dua:
Post-Vaccination COVID-19 Data Analysis: Privacy and Ethics. - Chongyang Zhao, Dong Gong:
Learning Mamba as a Continual Learner. - Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres:
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps. - Matan Rusanovsky, Shimon Malnick, Amir Jevnisek, Ohad Fried, Shai Avidan:
Memories of Forgotten Concepts. - Tong Jin, Feng Lu, Shuyu Hu, Chun Yuan, Yunpeng Liu:
EDTformer: An Efficient Decoder Transformer for Visual Place Recognition. - Daniel Kelshaw, Luca Magri:
Proper Latent Decomposition. - Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru:
A Cognac shot to forget bad memories: Corrective Unlearning in GNNs. - Jianhui Li, Bokang Zhang, Junfeng Wu:
Online Poisoning Attack Against Reinforcement Learning under Black-box Environments. - Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok:
Combinatorial Rising Bandit. - Weiche Hsieh, Ziqian Bi, Chuanqi Jiang, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang:
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. - Eyad Algahtani:
HT-HEDL: High-Throughput Hypothesis Evaluation in Description Logic. - Junhyuk Choi, Yeseon Hong, Minju Kim, Bugeun Kim:
Does chat change LLM's mind? Impact of Conversation on Psychological States of LLMs. - Philip L. Lederer, Christoph Lehrenfeld, Paul Stocker, Igor Voulis:
A unified framework for Trefftz-like discretization methods. - Jingyi Zhao, Yuxuan Ou, Austin Tripp, Morteza Rasoulianboroujeni, José Miguel Hernández-Lobato:
Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach. - Yan Yan, Yuanchi Ma:
Long text outline generation: Chinese text outline based on unsupervised framework and large language mode. - Peijun Bao, Chenqi Kong, Zihao Shao, Boon Poh Ng, Meng Hwa Er, Alex C. Kot:
Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild. - Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. - Zhaofeng Luo, Zhitong Cui, Shijian Luo, Mengyu Chu, Minchen Li:
VR-Doh: Hands-on 3D Modeling in Virtual Reality. - Hang Su, Ling Gao, Tao Liu, Laurent Kneip:
Motion-Aware Optical Camera Communication with Event Cameras. - Yuhao Lin, Lingqiao Liu, Javen Shi:
Categorical Keypoint Positional Embedding for Robust Animal Re-Identification. - Feng Wang, Shengyu Zhang, Huiting Yang, Tony Q. S. Quek:
Non-Terrestrial Networking for 6G: Evolution, Opportunities, and Future Directions. - Raj Jaiswal, Dhruv Jain, Harsh Popat, Avinash Anand, Abhishek Dharmadhikari, Atharva Marathe, Rajiv Ratn Shah:
Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents. - Bo-Chuan Lin, Chun-Wei Kong, Simone Semeraro, Jay W. McMahon:
A Control Framework for CUBESAT Rendezvous and Proximity Operations using Electric Propulsion. - Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang:
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation. - Eyad Algahtani:
SPILDL: A Scalable and Parallel Inductive Learner in Description Logic. - Shaoyu Liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Xin Meng, Fei Richard Yu, Xiangyang Ji, Ming Li:
EventGPT: Event Stream Understanding with Multimodal Large Language Models. - Yan Li, Yifei Xing, Xiangyuan Lan, Xin Li, Haifeng Chen, Dongmei Jiang:
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment. - Christian Möller, Niklas Funk, Jan Peters:
Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models. - Edward Kembery, Ben Bucknall, Morgan Simpson:
Position Paper: Model Access should be a Key Concern in AI Governance. - Jin Lyu, Tianyi Zhu, Yi Gu, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang, Liang An:
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer. - Ronghan Chen, Yang Cong, Jiayue Liu:
SAGA: Surface-Aligned Gaussian Avatar. - Avinash Anand, Raj Jaiswal, Abhishek Dharmadhikari, Atharva Marathe, Harsh Popat, Harshil Mital, Kritarth Prasad, Rajiv Ratn Shah, Roger Zimmermann:
Improving Multimodal LLMs Ability In Geometry Problem Solving, Reasoning, And Multistep Scoring. - Weihang Li, Weirong Chen, Shenhan Qian, Jiajie Chen, Daniel Cremers, Haoang Li:
DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair. - Kyuwon Kim, Yige Chen, Eunkyul Leah Jo, KyungTae Lim, Jungyeul Park, Chulwoo Park:
K-UD: Revising Korean Universal Dependencies Guidelines. - Bohai Gu, Hao Luo, Song Guo, Peiran Dong:
Advanced Video Inpainting Using Optical Flow-Guided Efficient Diffusion. - Gianluca Ceruti, Jonas Kusch, Christian Lubich, Dominik Sulz:
A parallel Basis Update and Galerkin Integrator for Tree Tensor Networks. - Jack Belham, Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee, Fabio Cuzzolin:
Deep evolving semi-supervised anomaly detection. - Robert M. Corless, Nicolas Fillion:
Structured Backward Error for the WKB method. - Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Toward Real-Time Edge AI: Model-Agnostic Task-Oriented Communication with Visual Feature Alignment. - Arijit Samal, Haroon R. Lone:
Thermal Vision: Pioneering Non-Invasive Temperature Tracking in Congested Spaces. - Paulius Rauba, Qiyao Wei, Mihaela van der Schaar:
Quantifying perturbation impacts for large language models. - Thilini Wijesiriwardene, Ruwan Wickramarachchi, Sreeram Vennam, Vinija Jain, Aman Chadha, Amitava Das, Ponnurangam Kumaraguru, Amit P. Sheth:
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting. - Hamed Haggi, Wei Sun:
Exploiting the Benefits of P2P Energy Exchanges in Resilience Enhancement of Distribution Networks. - Hamed Haggi, James M. Fenton:
Techno-Economic Assessment of Net-Zero Energy Buildings: Financial Projections and Incentives for Achieving Energy Decarbonization Goals. - Hamed Haggi, James M. Fenton:
Distributionally Robust Chance-Constrained Energy Management of Multi-Building Residential Apartment Complexes Using Wasserstein Metric. - Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin:
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification. - Hongxuan Lu, Shenjian Wang, Biao Li:
Complexity boosted adaptive training for better low resource ASR performance. - Haoze Sun, Wenbo Li, Jiayue Liu, Kaiwen Zhou, Yongqiang Chen, Yong Guo, Yanwei Li, Renjing Pei, Long Peng, Yujiu Yang:
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration. - Naixing Xu, Qian Li, Xu Wang, Bingchen Liu, Xin Li:
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning. - Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao:
SyncVIS: Synchronized Video Instance Segmentation. - Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu:
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. - Emily Liu:
Leveraging Intermediate Neural Collapse with Simplex ETFs for Efficient Deep Neural Networks. - Mingyu Yang, Junyou Li, Zhongbin Fang, Sheng Chen, Yangbin Yu, Qiang Fu, Wei Yang, Deheng Ye:
Playable Game Generation. - Kun Qian, Tianyu Sun, Wenhong Wang:
Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection. - Huaijin Wang, Zhibo Liu, Yanbo Dai, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements. - Sina Kazemdehbashi:
Adaptive grid-based decomposition for UAV-based coverage path planning in maritime search and rescue. - Grace Colverd, Jumpei Takami, Laura Schade, Karol Bot, Joseph A. Gallego-Mejia:
Tomographic SAR Reconstruction for Forest Height Estimation. - Youjia Zhang, Anpei Chen, Yumin Wan, Zikai Song, Junqing Yu, Yawei Luo, Wei Yang:
Ref-GS: Directional Factorization for 2D Gaussian Splatting. - Einar Broch Johnsen, Eduard Kamburjan, Raúl Pardo, Erik Voogd, Andrzej Wasowski:
Towards a Proof System for Probabilistic Dynamic Logic. - Philipp Schröer, Francesca Randone, Raúl Pardo, Andrzej Wasowski:
Symbolic Quantitative Information Flow for Probabilistic Programs. - Suresh Kumar Amalapuram, Shreya Kumar, Bheemarjuna Reddy Tamma, Sumohana S. Channappayya:
SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection. - Thomas H. Li, Francisco Barreras:
Garden city: A synthetic dataset and sandbox environment for analysis of pre-processing algorithms for GPS human mobility data. - Marko Nonhoff, Johannes Köhler, Matthias Albrecht Müller:
Online convex optimization for constrained control of nonlinear systems. - Weiming Ren, Huan Yang, Jie Min, Cong Wei, Wenhu Chen:
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation. - Yuxuan Ou, Jingyi Zhao, Austin Tripp, Morteza Rasoulianboroujeni, José Miguel Hernández-Lobato:
A Deep Generative Model for the Design of Synthesizable Ionizable Lipids. - Kumar Ashutosh, Georgios Pavlakos, Kristen Grauman:
FIction: 4D Future Interaction Prediction from Video. - T. Y. S. S. Santosh, Hassan Sarwat, Matthias Grabmair:
QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval. - Ali Asadi, Krishnendu Chatterjee, Raimundo Saona, Ali Shafiee:
Limit-sure reachability for small memory policies in POMDPs is NP-complete. - Alireza Torabian, Ruth Urner:
Calibration through the Lens of Interpretability. - Narmeen Oozeer, Sinem Erisken, Alice Rigg:
Bilinear Convolution Decomposition for Causal RL Interpretability. - Matteo Manzoni, Sergio Mascetti, Dragan Ahmetovic, Ryan Crabb, James M. Coughlan:
MapIO: Embodied Interaction for the Accessibility of Tactile Maps Through Augmented Touch Exploration and Conversation. - Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang:
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information. - Edward Bayes, Israel Abebe Azime, Jesujoba O. Alabi, Jonas Kgomo, Tyna Eloundou, Elizabeth Proehl, Kai Chen, Imaan Khadir, Naome A. Etori, Shamsuddeen Hassan Muhammad, Choice Mpanza, Igneciah Pocia Thete, Dietrich Klakow, David Ifeoluwa Adelani:
Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages. - Nicholas Lenzen, Amogh Raut, Andrew Melnik:
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft. - Burak Bekci, Nassir Navab, Federico Tombari, Mahdi Saleh:
ESCAPE: Equivariant Shape Completion via Anchor Point Encoding. - Xie Yu, Jingyuan Wang, Yifan Yang, Qian Huang, Ke Qu:
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis. - Keren Ganon, Morris Alper, Rachel Mikulinsky, Hadar Averbuch-Elor:
WAFFLE: Multimodal Floorplan Understanding in the Wild. - Evi Papadopoulou, Hadi Mohammadi, Ayoub Bagheri:
Large Language Models as Mirrors of Societal Moral Standards. - Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Andreas Dengel:
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations. - Mijntje Meijer, Hadi Mohammadi, Ayoub Bagheri:
LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics. - Christopher W. Brown:
Semantics of Division for Polynomial Solvers. - Benjamin Bergner, Christoph Lippert, Aravindh Mahendran:
Token Cropr: Faster ViTs for Quite a Few Tasks. - Ali Marashian, Enora Rice, Luke Gessler, Alexis Palmer, Katharina von der Wense:
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine Translation. - Henry Papadatos, Rachel Freedman:
Linear Probe Penalties Reduce LLM Sycophancy. - Jiayi Wang, Ruiwei Xiao, Ying-Jui Tseng:
Generating AI Literacy MCQs: A Multi-Agent LLM Approach. - Maryam Aliakbarpour, Piotr Indyk, Ronitt Rubinfeld, Sandeep Silwal:
Optimal Algorithms for Augmented Testing of Discrete Distributions. - Klaus Lippert, Konrad U. Förstner:
Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references. - Zhe Wang, Haozhu Wang, Yanjun Qi:
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance. - Dimitar Chakarov, Nikita Tsoy, Kristian Minchev, Nikola Konstantinov:
Incentivizing Truthful Collaboration in Heterogeneous Federated Learning. - Alan Gatherer, Chaitali Sengupta, Sudipta Sen, Jeffery H. Reed:
Dual-Use Commercial and Military Communications on a Single Platform using RAN Domain Specific Language. - Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu:
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. - Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang:
Provable Partially Observable Reinforcement Learning with Privileged Information. - Eric Wagner, Roman Matzutt, Martin Henze:
Seldom: An Anonymity Network with Selective Deanonymization. - Ahmad Mohammadshirazi, Ali Nosrati Firoozsalari, Rajiv Ramnath:
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis. - Jerry Zhao, Daniel Grubb, Miles Rusch, Tianrui Wei, Kevin Anderson, Borivoje Nikolic, Krste Asanovic:
Instruction Scheduling in the Saturn Vector Unit. - Zhipeng Lyu, Jinrong Su, Zhe Li, Xiang Li, Hanghang Yan, Lei Chen:
A Compact Hybrid Battery Thermal Management System for Enhanced Cooling. - Jenna Kline, Austin O'Quinn, Tanya Y. Berger-Wolf, Christopher Stewart:
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge. - Core Francisco Park, Ekdeep Singh Lubana, Itamar Pres, Hidenori Tanaka:
Competition Dynamics Shape Algorithmic Phases of In-Context Learning. - Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong:
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. - Jindae Kim, Jaewoo Song:
Identifying Root Causes of Null Pointer Exceptions with Logical Inferences. - Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji:
CoRNStack: High-Quality Contrastive Data for Better Code Ranking. - Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel:
e-Fold Cross-Validation for Recommender-System Evaluation. - Xiaoxu Tian:
Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models. - Eduardo Slonski:
Detecting Memorization in Large Language Models. - Cade Armstrong, Ryan Park, Xinjie Liu, Kushagra Gupta, David Fridovich-Keil:
Inferring Short-Sightedness in Dynamic Noncooperative Games. - Todor Ivanov, Valeri Penchev:
AI Benchmarks and Datasets for LLM Evaluation. - Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao:
Learning Structured Representations with Hyperbolic Embeddings. - Sherry Qiu, Holly E. Rushmeier, Kim R. M. Blenman:
Towards Understanding the Impact of Guidance in Data Visualization Systems for Domain Experts. - Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao:
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. - Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings. - Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen:
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. - Seongmin Park, Hyungmin Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi:
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control. - Yupeng Tan, Sheng Xu, Chengyue Su:
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events. - Muhan Li, Lingji Kong, Sam Kriegman:
Generating Freeform Endoskeletal Robots. - Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon Papadopoulos:
Reducing Inference Energy Consumption Using Dual Complementary CNNs. - Susu Fang, Hao Li:
LiDAR SLAMMOT based on Confidence-guided Data Association. - Patrick Yubeaton, Jianqiao Mo, Karthik Garimella, Nandan Kumar Jha, Brandon Reagen, Chinmay Hegde, Siddharth Garg:
TruncFormer: Private LLM Inference Using Only Truncations. - Kyungri Park, Woohwan Jung:
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization. - Chanho Eom, Geon Lee, Kyunghwan Cho, Hyeonseok Jung, Moonsub Jin, Bumsub Ham:
Cerberus: Attribute-based person re-identification using semantic IDs. - Bingkai Huang, Yuxiong Huang, Qianwen Hu, Gengfeng Li, Zhaohong Bie:
Resilience-oriented Planning and Cost Allocation of Energy Storage Integrated with Soft Open Point Based on Resilience Insurance. - Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone:
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation. - Youqiang Zheng, Weiping Tu, Yueteng Kang, Jie Chen, Yike Zhang, Li Xiao, Yuhong Yang, Long Ma:
FreeCodec: A disentangled neural speech codec with fewer tokens. - Yongli Zhu, Linna Xu, Jian Huang:
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid. - Lauhitya Reddy, Ketan Anand, Shoibolina Kaushik, Corey Rodrigo, J. Lucas McKay, Trisha M. Kesar, Hyeokhyen Kwon:
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos. - Caihua Li, Seung-Seob Lee, Lin Zhong:
Blindfold: Confidential Memory Management by Untrusted Operating System. - Yuxin Fan, Zhuohuan Hu, Lei Fu, Yu Cheng, Liyang Wang, Yuxiang Wang:
Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning. - Jiexi Liu, Meng Cao, Songcan Chen:
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis. - Taekyung Ki, Dongchan Min, Gyeongsu Chae:
FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait. - Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili:
Lookahead Counterfactual Fairness. - Xiaoxue Ma, Yishu Li, Jacky Keung, Xiao Yu, Huiqi Zou, Zhen Yang, Federica Sarro, Earl T. Barr:
Practitioners' Expectations on Log Anomaly Detection. - Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, Bach Le:
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair. - Bowen Zhao, Jiuhui Li, Peiming Xu, Xiaoguo Li, Qingqi Pei, Yulong Shen:
TRUST: A Toolkit for TEE-Assisted Secure Outsourced Computation over Integers. - Dixiao Wei, Peng Yi, Jinlong Lei, Xingyi Zhu:
Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks. - Homa Nikbakht, Michèle A. Wigger, Shlomo Shamai, H. Vincent Poor:
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication. - Shuaijiang Zhao, Tingwei Guo, Bajian Xiang, Tongtang Wan, Qiang Niu, Wei Zou, Xiangang Li:
Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data. - Tianwang Jia, Lubin Meng, Siyang Li, Jiajing Liu, Dongrui Wu:
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces. - Linna Xu, Jian Huang, Shan Yang, Yongli Zhu:
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters. - Victor Parque:
A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections. - Yuxing Chen, Songlin Wei, Bowen Xiao, Jiangran Lyu, Jiayi Chen, Feng Zhu, He Wang:
RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments. - Zhexuan Zeng, Ruikun Zhou, Yiming Meng, Jun Liu:
Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator. - Haoran Wang, Herui Zhang, Siyang Li, Dongrui Wu:
Gated Parametric Neuron for Spike-based Audio Recognition. - Sunghun Yang, Minhyeok Lee, Suhwan Cho, Jungho Lee, Sangyoun Lee:
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation. - Penghui Wen, Lei Bai, Mengwei He, Patrick Filippi, Feng Zhang, Thomas F. A. Bishop, Zhiyong Wang, Kun Hu:
DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended Precipitation Nowcasting. - Izhar Ali, Million Haileyesus, Serhiy Hnatyshyn, Jan-Lucas Ott, Vasil Hnatyshin:
Automated Extraction of Acronym-Expansion Pairs from Scientific Papers. - Victor Parque:
A Hierarchical Heuristic for Clustered Steiner Trees in the Plane with Obstacles. - Muchao Ye, Weiyang Liu, Pan He:
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models. - Katarzyna Musial, Jiaqi Wen, Andreas Gwyther-Gouriotis:
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations. - Shuoyi Zhou, Yixuan Zhou, Weiqing Li, Jun Chen, Runchuan Ye, Weihao Wu, Zijian Lin, Shun Lei, Zhiyong Wu:
The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024. - Delong Zhu, Yuezun Li, Baoyuan Wu, Jiaran Zhou, Zhibo Wang, Siwei Lyu:
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection. - Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, Tülay Adali:
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms. - Takahito Fujimori:
FRIDAY: Real-time Learning DNN-based Stable LQR controller for Nonlinear Systems under Uncertain Disturbances. - Jun Xiang, Yudong Guo, Leipeng Hu, Boyang Guo, Yancheng Yuan, Juyong Zhang:
One Shot, One Talk: Whole-body Talking Avatar from a Single Image. - Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang:
Multi-Scale Representation Learning for Protein Fitness Prediction. - Emily Chen, Nicholas Huang, Casey Robinson, Kevin Xu, Zihao Huang, Jungyeul Park:
Revisiting Absence withSymptoms that *T* Show up Decades Later to Recover Empty Categories. - Smriti Janaswamy, Jeremy Blackburn:
Exploring Climate Change Discourse: Measurements and Analysis of Reddit Data. - Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Ana Brassard, Keisuke Sakaguchi, Kentaro Inui:
Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Reasoning. - Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu:
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. - Hao Wu, Zhihang Zhong, Xiao Sun:
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding. - Alejandro Fontán, Javier Civera, Tobias Fischer, Michael Milford:
Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM. - Chenghao Li, Yuke Zhang, Dake Chen, Jingqi Xu, Peter A. Beerel:
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication. - Mojtaba Sedigh Fazli, Shannon Quinn:
Object Tracking in a 360o</ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements. - Mengran Li, Junzhou Chen, Guanying Jiang, Fuliang Li, Ronghui Zhang, Siyuan Gong, Zhihan Lv:
TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories. - Qingtian Zhu, Yumin Zheng, Yuling Sang, Yifan Zhan, Ziyan Zhu, Jun Ding, Yinqiang Zheng:
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics. - Xiaoyu Du, Yingying Chen, Yang Zhang, Jinhui Tang:
Precision Profile Pollution Attack on Sequential Recommenders via Influence Function. - Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi:
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy. - Yi-Chang Chen, Po-Chun Hsu, Chan-Jan Hsu, Da-shan Shiu:
Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation. - Zhihan Cao, Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
A Comprehensive Evaluation of Semantic Relation Knowledge of Pretrained Language Models and Humans. - Joseph Raj Vishal, Divesh Basina, Aarya Choudhary, Bharatesh Chakravarthi:
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks. - Takashi Sato, Shinto Watanabe, Ryo Takahashi, Wakako Yukita, Tomoyuki Yokota, Takao Someya, Yoshihito Kawahara, Eiji Iwase, Junya Kurumida:
Friction jointing of distributed rigid capacitors to stretchable liquid metal coil for full-body wireless charging clothing. - Seongchan Kim, Woojeong Jin, Sangbeom Lim, Heeji Yoon, Hyunwook Choi, Seungryong Kim:
Referring Video Object Segmentation via Language-aligned Track Selection. - Xingsong Ye, Yongkun Du, Yunbo Tao, Zhineng Chen:
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition. - Jianguo Huang, Yuejin Xu:
A Parareal exponential integrator finite element method for linear parabolic equations. - Suhyun Shin, Seungwoo Yoon, Ryota Maeda, Seung-Hwan Baek:
Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes. - Guowei Wu, Weike Pan, Qiang Yang, Zhong Ming:
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. - Matthew Ding, Alexandro Garces, Jason Li, Honghao Lin, Jelani Nelson, Vihan Shah, David P. Woodruff:
Space Complexity of Minimum Cut Problems in Single-Pass Streams. - Minh Tran, Thang Pham, Winston Bounsavy, Tri Nguyen, Ngan Le:
A2VIS: Amodal-Aware Approach to Video Instance Segmentation. - Sami Jaghouar, Jack Min Ong, Manveer Basra, Fares Obeid, Jannik Straube, Michael Keiblinger, Elie Bakouch, Lucas Atkins, Maziyar Panahi, Charles Goddard, Max Ryabinin, Johannes Hagemann:
INTELLECT-1 Technical Report. - Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do:
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation. - Kento Uchida, Teppei Yamaguchi, Shinichi Shirakawa:
Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality. - Wooseok Jang, Youngjun Hong, Geonho Cha, Seungryong Kim:
ControlFace: Harnessing Facial Parametric Control for Face Rigging. - Shintaro Fukushima, Kenji Yamanishi:
Graph Community Augmentation with GMM-based Modeling in Latent Space. - Hussein Hammoud, Yuning Zhang, Zihang Cheng, Seun Sangodoyin, Markus Hofer, Faruk Pasic, Thomas M. Pohl, Radek Závorka, Ales Prokes, Thomas Zemen, Christoph F. Mecklenbräuker, Andreas F. Molisch:
Double-Directional V2V Channel Measurement using ReRoMA at 60 GHz. - Christopher Fusco, Mosam Dabhi, Shin-Fang Ch'ng, Simon Lucey:
Object Agnostic 3D Lifting in Space and Time. - Pamely Zantou, Blessed Guda, Bereket Retta, Gladys Inabeza, Carlee Joe-Wong, Assane Gueye:
HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning. - Hanyao Guo, Yunhai Han, Harish Ravichandar:
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics. - Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover:
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. - Yifan Xu, Xue Jiang, Dongrui Wu:
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition. - Yi Kuang, Jiang Li, Songsong Li, Chaoping Xing:
Coded Distributed (Batch) Matrix Multiplication over Galois Ring via RMFE. - Daiheng Zhang, Chengyue Gong, Qiang Liu:
Rectified Flow For Structure Based Drug Design. - Zijian Chen, Tingzhu Chen, Wenjun Zhang, Guangtao Zhai:
OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones? - Takaaki Fujita:
Superhypergraph Neural Networks and Plithogenic Graph Neural Networks: Theoretical Foundations. - Tao Tang, Hong Liu, Yingxuan You, Ti Wang, Wenhao Li:
Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video. - Colby Fronk, Linda R. Petzold:
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods. - Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam:
MeasureNet: Measurement Based Celiac Disease Identification. - Jia Guo, Longxu Dou, Guangtao Zeng, Stanley Kok, Wei Lu, Qian Liu:
SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages. - Kurukulasooriya Fernando, Gianluca Demartini:
MiningGPT - A Domain-Specific Large Language Model for the Mining Industry. - Jiaxing Zhang, Luosong Guo, Kun Zhu, Houming Qiu:
A Semantic Communication System for Real-time 3D Reconstruction Tasks. - Fangming Zhao, Nikolaos Pappas, Meng Zhang, Howard H. Yang:
Age of Information in Random Access Networks with Energy Harvesting. - Arnav Kharbanda, Advait Chandorkar:
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching. - Xinzhe Shen, Jiale Luo, Hao Wang, Mingyi Liu, Schahram Dustdar, Zhongjie Wang:
A Hybrid BPMN-DMN Framework for Secure Inter-organizational Processes and Decisions Collaboration on Permissioned Blockchain. - Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li:
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences. - Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang:
TinyFusion: Diffusion Transformers Learned Shallow. - Yi Liao, Yongsheng Gao, Weichuan Zhang:
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models. - Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, Xiatian Zhu:
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data. - Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Siamese Machine Unlearning with Knowledge Vaporization and Concentration. - Qiyu Zhuang, Xinyue Shi, Shuang Liu, Wei Lu, Zhanhao Zhao, Yuxing Chen, Tong Li, Anqun Pan, Xiaoyong Du:
GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares (Extended Version). - Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng:
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. - Zhenzhong Cao, Chenyang Zhao, Qianyi Zhang, Jinzheng Guang, Yinuo Song Jingtai Liu:
RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting. - Hamzah A. A. M. Qaid, Bo Zhang, Dan Li, See-Kiong Ng, Wei Li:
FD-LLM: Large Language Model for Fault Diagnosis of Machines. - Alexei Kaltchenko:
Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis. - Ruichen Wang, Junliang Zhang, Qingsong Xie, Chen Chen, Haonan Lu:
PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control. - Zeyuan Li, Qingdao Huang:
Option Pricing with Convolutional Kolmogorov-Arnold Networks. - Qianlong Li, Chen Huang, Shuai Li, Yuanxin Xiang, Deng Xiong, Wenqiang Lei:
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering. - N. Sukumar, Amit Acharya:
Variational formulation based on duality to solve partial differential equations: Use of B-splines and machine learning approximants. - Christian Bluethgen, Dave Van Veen, Cyril Zakka, Katherine Link, Aaron Fanous, Roxana Daneshjou, Thomas Frauenfelder, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari:
Best Practices for Large Language Models in Radiology. - Wenru Liu, Yongkang Song, Chengzhen Meng, Zhiyu Huang, Haochen Liu, Chen Lv, Jun Ma:
Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles. - Canqiang Weng, Can Chen, Jingjun Tan, Tianlu Pan, Renxin Zhong:
Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance. - Xiaoqi Zhao, Youwei Pang, Shijie Chang, Yuan Zhao, Lihe Zhang, Huchuan Lu, Jinsong Ouyang, Georges El Fakhri, Xiaofeng Liu:
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes. - An Ning, Tai-Yue Li, Nan-Yow Chen:
Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement. - Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi:
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. - Lingyun Zhang, Yu Xie, Yanwei Fu, Ping Chen:
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization. - Jinouwen Zhang, Rongkun Xue, Yazhe Niu, Yun Chen, Jing Yang, Hongsheng Li, Yu Liu:
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective. - Gorkem Polat, Ümit Mert Çaglar, Alptekin Temizel:
Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity. - Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Puneet Goyal, Sudipta Roy, Azadeh Alavi, Vikas Kumar:
Multimodal Fusion Learning with Dual Attention for Medical Imaging. - Hao Yang, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis. - Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang:
Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. - Alan Wake, Bei Chen, C. X. Lv, Chao Li, Chengen Huang, Chenglin Cai, Chujie Zheng, Daniel Cooper, Fan Zhou, Feng Hu, Guoyin Wang, Heng Ji, Howard Qiu, Jiangcheng Zhu, Jun Tian, Katherine Su, Lihuan Zhang, Liying Li, Ming Song, Mou Li, Peng Liu, Qicheng Hu, Shawn Wang, Shijun Zhou, Shiming Yang, Shiyong Li, Tianhang Zhu, Wen Xie, Xiang He, Xiaobo Chen, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Yanpeng Li, Yongke Zhao, Yongzhen Luo, Yuchi Xu, Yuxuan Sha, Zhaodong Yan, Zhiyuan Liu, Zirui Zhang, Zonghong Dai:
Yi-Lightning Technical Report. - Liangwei Jiang, Ruida Li, Zhifeng Zhang, Shuo Fang, Chenguang Ma:
EmojiDiff: Advanced Facial Expression Control with High Identity Preservation in Portrait Generation. - Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi:
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models. - Michelle Elizabeth, Morgan Veyret, Miguel Couceiro, Ondrej Dusek, Lina Maria Rojas-Barahona:
Do Large Language Models with Reasoning and Acting Meet the Needs of Task-Oriented Dialogue? - Marc Goerigk, Michael Hartisch, Sebastian Merten:
Towards Robust Interpretable Surrogates for Optimization. - Eriko Shigetsugu, Hiroki Sakaji, Itsuki Noda:
Indexing Economic Fluctuation Narratives from Keiki Watchers Survey. - Wei Luo, Deyu Zhang, Ying Tang, Fan Wu, Yaoxue Zhang:
EdgeOAR: Real-time Online Action Recognition On Edge Devices. - Yiqin Wang, Haoji Zhang, Jingqi Tian, Yansong Tang:
Ponder & Press: Advancing Visual GUI Agent towards General Computer Control. - Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo:
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Xiaoming Shi, Xiaodan Shao, Beixiong Zheng, Rui Zhang:
6DMA-Aided Cell-Free Massive MIMO Communication. - Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, Wenhai Wang:
MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost. - Subham Sahoo, Huai Wang, Frede Blaabjerg:
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives. - Jiazhou Liu, Aravinda S. Rao, Fucai Ke, Tim Dwyer, Benjamin Tag, Pari Delir Haghighi:
AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites. - Sascha Welten, Karl Kindermann, Ahmet Polat, Martin Görz, Maximilian Jugl, Laurenz Neumann, Alexander Neumann, Johannes Lohmöller, Jan Pennekamp, Stefan Decker:
PASTA-4-PHT: A Pipeline for Automated Security and Technical Audits for the Personal Health Train. - Elliot Murphy:
Shadow of the (Hierarchical) Tree: Reconciling Symbolic and Predictive Components of the Neural Code for Syntax. - Joachim Dunkel:
Streamlining the Action Dependency Graph Framework: Two Key Enhancements. - Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo:
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction. - Qianhan Feng, Wenshuo Li, Tong Lin, Xinghao Chen:
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model. - Shan Yang:
MFTF: Mask-free Training-free Object Level Layout Control Diffusion Model. - Sergio López-Ureña, Dionisio F. Yáñez:
Optimal linear subdivision rules for noisy data. - Zhuokun Chen, Jinwu Hu, Zeshuai Deng, Yufeng Wang, Bohan Zhuang, Mingkui Tan:
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion. - Akash Kumar, Sanjoy Dasgupta:
Learning Smooth Distance Functions via Queries. - Qing Yu, Kechuan Dong, Zhiling Guo, Jiaxing Li, Hongjun Tan, Yanxiu Jin, Jian Yuan, Haoran Zhang, Junwei Liu, Qi Chen, Jinyue Yan:
Global Estimation of Building-Integrated Facade and Rooftop Photovoltaic Potential by Integrating 3D Building Footprint and Spatio-Temporal Datasets. - Hongyan Zhi, Peihao Chen, Junyan Li, Shuailei Ma, Xinyu Sun, Tianhang Xiang, Yinjie Lei, Mingkui Tan, Chuang Gan:
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences. - Surangika Ranathunga, Rumesh Sirithunga, Himashi Rathnayake, Lahiru De Silva, Thamindu Aluthwala, Saman Peramuna, Ravi Shekhar:
SiTSE: Sinhala Text Simplification Dataset and Evaluation. - Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo:
FedAH: Aggregated Head for Personalized Federated Learning. - Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper:
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames. - Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan:
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning. - Qiyuan Shen, Hengwang Zhao, Weihao Yan, Chunxiang Wang, Tong Qin, Ming Yang:
Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures. - Han Han, Wei Zhai, Yang Cao, Bin Li, Zhengjun Zha:
Event-Based Tracking Any Point with Motion-Augmented Temporal Consistency. - Xu Yang, Chenhui Lin, Haotian Liu, Wenchuan Wu:
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks. - Christian Gapp, Elias Tappeiner, Martin Welk, Rainer Schubert:
Multimodal Medical Disease Classification with LLaMA II. - Xin Yan, Yuxuan Cai, Qiuyue Wang, Yuan Zhou, Wenhao Huang, Huan Yang:
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation. - Zhiyuan Li, Jingzheng Wu, Xiang Ling, Tianyue Luo, Zhiqing Rui, Yanjun Wu:
The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries. - Spyros Rigas, Michalis Papachristou, Ioannis Sotiropoulos, Georgios Alexandridis:
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks. - Kai Pfeiffer:
Sparse Hierarchical Non-Linear Programming for Inverse Kinematic Planning and Control with Autonomous Goal Selection. - Philippe Lalanda, Germán Vega, Denis Morand:
Microservice-based edge platform for AI services. - Katherine Abramski, Riccardo Improta, Giulio Rossetti, Massimo Stella:
The "LLM World of Words" English free association norms generated by large language models. - Elizabeth Remfry, Rafael Henkin, Michael R. Barnes, Aakanksha Naik:
Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications. - Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu:
Can Large Language Models Serve as Evaluators for Code Summarization? - Junwei Deng, Weijing Tang, Jiaqi W. Ma:
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. - Jaskirat Singh, Lindsey Li, Weijia Shi, Ranjay Krishna, Yejin Choi, Pang Wei Koh, Michael F. Cohen, Stephen Gould, Liang Zheng, Luke Zettlemoyer:
Negative Token Merging: Image-based Adversarial Feature Guidance. - Sheikh Shafayat, Dongkeun Yoon, Woori Jang, Jiwoo Choi, Alice Oh, Seohyon Jung:
A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls. - Rémi Abgrall, Yongle Liu, Walter Boscheri:
Virtual finite element and hyperbolic problems: the PAMPA algorithm. - Xiaomin Li, Xu Jia, Qinghe Wang, Haiwen Diao, Mengmeng Ge, Pengxiang Li, You He, Huchuan Lu:
MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models. - Qianyi Chen, Ying Chen, Bo Li:
Practical Performative Policy Learning with Strategic Agents. - Xiyu Han, Xian Zhong, Wenxin Huang, Xuemei Jia, Wenxuan Liu, Xiaohan Yu, Alex Chichung Kot:
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification. - Daniel Arnström, André M. H. Teixeira:
Data-Driven and Stealthy Deactivation of Safety Filters. - Rajesh Mangannavar, Alan Fern, Prasad Tadepalli:
Hierarchical Object-Oriented POMDP Planning for Object Rearrangement. - María C. Bas, Vicente J. Bolós, Alvaro E. Prieto, Roberto Rodríguez-Echeverría, Fernando Sánchez-Figueroa:
A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens' employability. - Chayan Tank, Shaina Mehta, Sarthak Pol, Vinayak Katoch, Avinash Anand, Raj Jaiswal, Rajiv Ratn Shah:
Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models. - Aniket K. Singh, Debasis Chaudhuri, Manish Pratap Singh, Samiran Chattopadhyay:
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs. - Carlos J. Costa:
DeFi: Concepts and Ecosystem. - Silvia Lucia Sanna, Leonardo Regano, Davide Maiorca, Giorgio Giacinto:
Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study. - Wen-Dong Jiang, Chih-Yung Chang, Show-Jane Yen, Diptendu Sinha Roy:
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability. - Jiakai Wang, Pengfei Zhang, Renshuai Tao, Jian Yang, Hao Liu, Xianglong Liu, Yunchao Wei, Yao Zhao:
Behavior Backdoor for Deep Learning Models. - Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca, Rasesh Udayakumar Shetty, Naitik Agrawal, Dhwanil Subhashbhai Shah, Yuqian Fu, Xi Wang, Kristina Toutanova, Danda Pani Paudel, Luc Van Gool:
Understanding the World's Museums through Vision-Language Reasoning. - Davide Gallon, Arnulf Jentzen, Philippe von Wurstemberger:
An overview of diffusion models for generative artificial intelligence. - Xiao-Jun Wu, Cai-Jun Zhao, Chun Meng, Hang Wang:
Research on Cervical Cancer p16/Ki-67 Immunohistochemical Dual-Staining Image Recognition Algorithm Based on YOLO. - Anna Kuzina, Jakub M. Tomczak:
Hierarchical VAE with a Diffusion-based VampPrior. - Pang Li, Shahrul Azman Mohd Noah, Hafiz Mohd Sarim:
Convolutional Transformer Neural Collaborative Filtering. - Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Hao Yang:
Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge. - Pang Li, Shahrul Azman Mohd Noah, Hafiz Mohd Sarim:
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems. - Shanshan Xiao, Pengzhan Jin, Yifa Tang:
A deformation-based framework for learning solution mappings of PDEs defined on varying domains. - Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough:
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. - Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Luis F. Gomez, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti:
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data. - Nikola Ljubesic, Taja Kuzman, Ivana Filipovic Petrovic, Jelena Parizoska, Petya Osenova:
CLASSLA-Express: a Train of CLARIN.SI Workshops on Language Resources and Tools with Easily Expanding Route. - Katarzyna Janocha, Annabel Ling, Alice Godson, Yulia Lampi, Simon Bornschein, Nils Y. Hammerla:
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy. - Wenjie Cai, Yi Hu, Xiang Qu, Hui Zhao, Gongyi Wang, Jing Li, Zihan Huang:
Machine Learning Analysis of Anomalous Diffusion. - Anna-Maria Halacheva, Yang Miao, Jan-Nico Zaech, Xi Wang, Luc Van Gool, Danda Pani Paudel:
Holistic Understanding of 3D Scenes as Universal Scene Description. - Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci:
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. - Zhuoxiao Li, Shanliang Yao, Qizhong Gao, Ángel F. García-Fernández, Yong Yue, Xiaohui Zhu:
ULSR-GS: Ultra Large-scale Surface Reconstruction Gaussian Splatting with Multi-View Geometric Consistency. - Thi-Nhu-Quynh Nguyen, Quang-Huy Ho, Duy-Thai Nguyen, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran:
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation. - Zehuan Wu, Jingcheng Ni, Xiaodong Wang, Yuxin Guo, Rui Chen, Lewei Lu, Jifeng Dai, Yuwen Xiong:
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving. - Aditya Narayan Sankaran, Reza Farahbakhsh, Noël Crespi:
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning. - Peilin Zhou, Bo Du, Yongchao Xu:
CellSeg1: Robust Cell Segmentation with One Training Image. - Miguel Mota-Cruz, João H. Santos, José F. Macedo, Karima Velasquez, David Perez Abreu:
Optimizing Microservices Placement in the Cloud-to-Edge Continuum: A Comparative Analysis of App and Service Based Approaches. - Xiang Li, Yucheng Zhou, Laiping Zhao, Jing Li, Fangming Liu:
Impromptu Cybercrime Euphemism Detection. - Joshua Owotogbe, Indika Kumara, Willem-Jan van den Heuvel, Damian Andrew Tamburri:
Chaos Engineering: A Multi-Vocal Literature Review. - Mikhail Burtsev:
Learning Elementary Cellular Automata with Transformers. - Yichen Wang, Chengcheng Yu:
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking. - Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning. - Tiago Dias, João Vitorino, Eva Maia, Isabel Praça:
Network Simulation with Complex Cyber-attack Scenarios. - Yonghao Dang, Liyuan Liu, Hui Kang, Ping Ye, Jianqin Yin:
MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection. - Zhu Liu, Cunliang Kong, Ying Liu, Maosong Sun:
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs. - Xinrui Yan, Jiangyan Yi, Jianhua Tao, Yujie Chen, Hao Gu, Guanjun Li, Junzuo Zhou, Yong Ren, Tao Xu:
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio. - Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan:
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration. - Yuelei Wang, Jian Zhang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li:
CPA: Camera-pose-awareness Diffusion Transformer for Video Generation. - Xiaoguang Han, Yushuang Wu, Luyue Shi, Haolin Liu, Hongjie Liao, Lingteng Qiu, Weihao Yuan, Xiaodong Gu, Zilong Dong, Shuguang Cui:
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images. - Mona Alawadh, Mahesan Niranjan, Hansung Kim:
Semantic Scene Completion with Multi-Feature Data Balancing Network. - Jennifer Ding, Eva Jäger, Victoria Ivanova, Mercedes Bunz:
My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset. - Cheng-Yu Pai, Yu-Che Tung, Zhen-Ming Huang, Chao-Yu Chen:
Set Size Bound for Aperiodic Z-Complementary Sets. - Zhixiang Wang, Guangnan Ye, Xiaosen Wang, Siheng Chen, Zhibo Wang, Xingjun Ma, Yu-Gang Jiang:
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model. - Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein:
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. - Heejin Do, Sangwon Ryu, Jonghwi Kim, Gary Geunbae Lee:
Multi-Facet Blending for Faceted Query-by-Example Retrieval. - Shwetha Somasundaram, Anirudh Phukan, Apoorv Saxena:
PLD+: Accelerating LLM inference by leveraging Language Model Artifacts. - Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho, Hubert P. H. Shum:
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey. - Lasantha Thakshila Wedage, Bernard Butler, Mehmet Can Vuran, Sasitharan Balasubramaniam, Christos Argyropoulos:
Antennas in Walls: Performance Analysis of Microstrip Patch Antennas Designed for Internet of Paint (IoP). - Ashhadul Islam, Abdesselam Bouzerdoum, Samir Brahim Belhaouari:
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks. - Weiqiao Shan, Long Meng, Tong Zheng, Yingfeng Luo, Bei Li, junxin Wang, Tong Xiao, Jingbo Zhu:
Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization. - Md Raqib Khan, Anshul Negi, Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala:
Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond. - Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier, Martina Ziefle:
Misalignments in AI Perception: Quantitative Findings and Visual Mapping of How Experts and the Public Differ in Expectations and Risks, Benefits, and Value Judgments. - Hong Lin, Shixin Wan, Zhongle Xie, Ke Chen, Meihui Zhang, Lidan Shou, Gang Chen:
A Comprehensive Study of Shapley Value in Data Analytics. - Linh Trinh, Siegfried Mercelis, Ali Anwar:
A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles. - Qirui Yang, Yinbo Li, Peng-Tao Jiang, Qihua Cheng, Biting Yu, Yihao Liu, Huanjing Yue, Jingyu Yang:
Learning Differential Pyramid Representation for Tone Mapping. - José Rui Figueira, Kathrin Klamroth, Michael Stiglmayr, Julia Sudhoff Santos:
On the Computational Complexity of Multi-Objective Ordinal Unconstrained Combinatorial Optimization. - Junzhi Li, Jingliang Sun, Teng Long, Zhenlin Zhou:
Differential Flatness-based Fast Trajectory Planning for Fixed-wing Unmanned Aerial Vehicles. - Sangbeom Lim, Seongchan Kim, Seungjun An, Seokju Cho, Paul Hongsuck Seo, Seungryong Kim:
Multi-Granularity Video Object Segmentation. - Filipo Sharevski, Jennifer Vander Loop, Sarah Ferguson:
"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets. - RuiZhe Jiang, Haotian Lei:
Leverage Domain-invariant assumption for regularization. - Nitish Mital, Simon Malzard, Richard Walters, Celso M. De Melo, Raghuveer Rao, Victoria Nockles:
Improving Object Detection by Modifying Synthetic Data with Explainable AI. - Grzegorz Ficht, Sven Behnke:
Maximum Impulse Approach to Soccer Kicking for Humanoid Robots. - Andrzej Indrzejczak, Michal Zawidzki:
Definite Descriptions and Hybrid Tense Logic. - Cong Xie, Han Zou, Ruiqi Yu, Yan Zhang, Zhenpeng Zhan:
SerialGen: Personalized Image Generation by First Standardization Then Personalization. - Gabriela Ben Melech Stan, Estelle Aflalo, Man Luo, Shachar Rosenman, Tiep Le, Sayak Paul, Shao-Yen Tseng, Vasudev Lal:
FastRM: An efficient and automatic explainability framework for multimodal generative models. - Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang:
Provable Partially Observable Reinforcement Learning with Privileged Information. - Eric Wagner, Roman Matzutt, Martin Henze:
Seldom: An Anonymity Network with Selective Deanonymization. - Ahmad Mohammadshirazi, Ali Nosrati Firoozsalari, Rajiv Ramnath:
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis. - Jerry Zhao, Daniel Grubb, Miles Rusch, Tianrui Wei, Kevin Anderson, Borivoje Nikolic, Krste Asanovic:
Instruction Scheduling in the Saturn Vector Unit. - Zhipeng Lyu, Jinrong Su, Zhe Li, Xiang Li, Hanghang Yan, Lei Chen:
A Compact Hybrid Battery Thermal Management System for Enhanced Cooling. - Jenna Kline, Austin O'Quinn, Tanya Y. Berger-Wolf, Christopher Stewart:
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge. - Core Francisco Park, Ekdeep Singh Lubana, Itamar Pres, Hidenori Tanaka:
Competition Dynamics Shape Algorithmic Phases of In-Context Learning. - Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong:
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. - Jindae Kim, Jaewoo Song:
Identifying Root Causes of Null Pointer Exceptions with Logical Inferences. - Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji:
CoRNStack: High-Quality Contrastive Data for Better Code Ranking. - Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel:
e-Fold Cross-Validation for Recommender-System Evaluation. - Xiaoxu Tian:
Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models. - Eduardo Slonski:
Detecting Memorization in Large Language Models. - Cade Armstrong, Ryan Park, Xinjie Liu, Kushagra Gupta, David Fridovich-Keil:
Inferring Short-Sightedness in Dynamic Noncooperative Games. - Todor Ivanov, Valeri Penchev:
AI Benchmarks and Datasets for LLM Evaluation. - Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao:
Learning Structured Representations with Hyperbolic Embeddings. - Sherry Qiu, Holly E. Rushmeier, Kim R. M. Blenman:
Towards Understanding the Impact of Guidance in Data Visualization Systems for Domain Experts. - Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao:
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. - Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings. - Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen:
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. - Seongmin Park, Hyungmin Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi:
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control. - Yupeng Tan, Sheng Xu, Chengyue Su:
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events. - Muhan Li, Lingji Kong, Sam Kriegman:
Generating Freeform Endoskeletal Robots. - Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon Papadopoulos:
Reducing Inference Energy Consumption Using Dual Complementary CNNs. - Susu Fang, Hao Li:
LiDAR SLAMMOT based on Confidence-guided Data Association. - Patrick Yubeaton, Jianqiao Mo, Karthik Garimella, Nandan Kumar Jha, Brandon Reagen, Chinmay Hegde, Siddharth Garg:
TruncFormer: Private LLM Inference Using Only Truncations. - Kyungri Park, Woohwan Jung:
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization. - Chanho Eom, Geon Lee, Kyunghwan Cho, Hyeonseok Jung, Moonsub Jin, Bumsub Ham:
Cerberus: Attribute-based person re-identification using semantic IDs. - Bingkai Huang, Yuxiong Huang, Qianwen Hu, Gengfeng Li, Zhaohong Bie:
Resilience-oriented Planning and Cost Allocation of Energy Storage Integrated with Soft Open Point Based on Resilience Insurance. - Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone:
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation. - Youqiang Zheng, Weiping Tu, Yueteng Kang, Jie Chen, Yike Zhang, Li Xiao, Yuhong Yang, Long Ma:
FreeCodec: A disentangled neural speech codec with fewer tokens. - Yongli Zhu, Linna Xu, Jian Huang:
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid. - Lauhitya Reddy, Ketan Anand, Shoibolina Kaushik, Corey Rodrigo, J. Lucas McKay, Trisha M. Kesar, Hyeokhyen Kwon:
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos. - Caihua Li, Seung-Seob Lee, Lin Zhong:
Blindfold: Confidential Memory Management by Untrusted Operating System. - Yuxin Fan, Zhuohuan Hu, Lei Fu, Yu Cheng, Liyang Wang, Yuxiang Wang:
Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning. - Jiexi Liu, Meng Cao, Songcan Chen:
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis. - Taekyung Ki, Dongchan Min, Gyeongsu Chae:
FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait. - Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili:
Lookahead Counterfactual Fairness. - Xiaoxue Ma, Yishu Li, Jacky Keung, Xiao Yu, Huiqi Zou, Zhen Yang, Federica Sarro, Earl T. Barr:
Practitioners' Expectations on Log Anomaly Detection. - Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, Bach Le:
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair. - Bowen Zhao, Jiuhui Li, Peiming Xu, Xiaoguo Li, Qingqi Pei, Yulong Shen:
TRUST: A Toolkit for TEE-Assisted Secure Outsourced Computation over Integers. - Dixiao Wei, Peng Yi, Jinlong Lei, Xingyi Zhu:
Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks. - Homa Nikbakht, Michèle A. Wigger, Shlomo Shamai, H. Vincent Poor:
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication. - Shuaijiang Zhao, Tingwei Guo, Bajian Xiang, Tongtang Wan, Qiang Niu, Wei Zou, Xiangang Li:
Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data. - Tianwang Jia, Lubin Meng, Siyang Li, Jiajing Liu, Dongrui Wu:
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces. - Linna Xu, Jian Huang, Shan Yang, Yongli Zhu:
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters. - Victor Parque:
A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections. - Yuxing Chen, Songlin Wei, Bowen Xiao, Jiangran Lyu, Jiayi Chen, Feng Zhu, He Wang:
RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments. - Zhexuan Zeng, Ruikun Zhou, Yiming Meng, Jun Liu:
Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator. - Haoran Wang, Herui Zhang, Siyang Li, Dongrui Wu:
Gated Parametric Neuron for Spike-based Audio Recognition. - Sunghun Yang, Minhyeok Lee, Suhwan Cho, Jungho Lee, Sangyoun Lee:
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation. - Penghui Wen, Lei Bai, Mengwei He, Patrick Filippi, Feng Zhang, Thomas F. A. Bishop, Zhiyong Wang, Kun Hu:
DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended Precipitation Nowcasting. - Izhar Ali, Million Haileyesus, Serhiy Hnatyshyn, Jan-Lucas Ott, Vasil Hnatyshin:
Automated Extraction of Acronym-Expansion Pairs from Scientific Papers. - Victor Parque:
A Hierarchical Heuristic for Clustered Steiner Trees in the Plane with Obstacles. - Muchao Ye, Weiyang Liu, Pan He:
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models. - Katarzyna Musial, Jiaqi Wen, Andreas Gwyther-Gouriotis:
How the use of feature selection methods influences the efficiency and accuracy of complex network simulations. - Shuoyi Zhou, Yixuan Zhou, Weiqing Li, Jun Chen, Runchuan Ye, Weihao Wu, Zijian Lin, Shun Lei, Zhiyong Wu:
The Codec Language Model-based Zero-Shot Spontaneous Style TTS System for CoVoC Challenge 2024. - Delong Zhu, Yuezun Li, Baoyuan Wu, Jiaran Zhou, Zhibo Wang, Siwei Lyu:
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection. - Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, Tülay Adali:
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms. - Takahito Fujimori:
FRIDAY: Real-time Learning DNN-based Stable LQR controller for Nonlinear Systems under Uncertain Disturbances. - Jun Xiang, Yudong Guo, Leipeng Hu, Boyang Guo, Yancheng Yuan, Juyong Zhang:
One Shot, One Talk: Whole-body Talking Avatar from a Single Image. - Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang:
Multi-Scale Representation Learning for Protein Fitness Prediction. - Emily Chen, Nicholas Huang, Casey Robinson, Kevin Xu, Zihao Huang, Jungyeul Park:
Revisiting Absence withSymptoms that *T* Show up Decades Later to Recover Empty Categories. - Smriti Janaswamy, Jeremy Blackburn:
Exploring Climate Change Discourse: Measurements and Analysis of Reddit Data. - Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Ana Brassard, Keisuke Sakaguchi, Kentaro Inui:
Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Reasoning. - Cevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu:
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. - Hao Wu, Zhihang Zhong, Xiao Sun:
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding. - Alejandro Fontán, Javier Civera, Tobias Fischer, Michael Milford:
Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM. - Chenghao Li, Yuke Zhang, Dake Chen, Jingqi Xu, Peter A. Beerel:
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication. - Mojtaba Sedigh Fazli, Shannon Quinn:
Object Tracking in a 360o</ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements. - Mengran Li, Junzhou Chen, Guanying Jiang, Fuliang Li, Ronghui Zhang, Siyuan Gong, Zhihan Lv:
TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories. - Qingtian Zhu, Yumin Zheng, Yuling Sang, Yifan Zhan, Ziyan Zhu, Jun Ding, Yinqiang Zheng:
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics. - Xiaoyu Du, Yingying Chen, Yang Zhang, Jinhui Tang:
Precision Profile Pollution Attack on Sequential Recommenders via Influence Function. - Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi:
RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy. - Yi-Chang Chen, Po-Chun Hsu, Chan-Jan Hsu, Da-shan Shiu:
Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation. - Zhihan Cao, Hiroaki Yamada, Simone Teufel, Takenobu Tokunaga:
A Comprehensive Evaluation of Semantic Relation Knowledge of Pretrained Language Models and Humans. - Joseph Raj Vishal, Divesh Basina, Aarya Choudhary, Bharatesh Chakravarthi:
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks. - Takashi Sato, Shinto Watanabe, Ryo Takahashi, Wakako Yukita, Tomoyuki Yokota, Takao Someya, Yoshihito Kawahara, Eiji Iwase, Junya Kurumida:
Friction jointing of distributed rigid capacitors to stretchable liquid metal coil for full-body wireless charging clothing. - Seongchan Kim, Woojeong Jin, Sangbeom Lim, Heeji Yoon, Hyunwook Choi, Seungryong Kim:
Referring Video Object Segmentation via Language-aligned Track Selection. - Xingsong Ye, Yongkun Du, Yunbo Tao, Zhineng Chen:
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition. - Jianguo Huang, Yuejin Xu:
A Parareal exponential integrator finite element method for linear parabolic equations. - Suhyun Shin, Seungwoo Yoon, Ryota Maeda, Seung-Hwan Baek:
Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes. - Guowei Wu, Weike Pan, Qiang Yang, Zhong Ming:
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. - Matthew Ding, Alexandro Garces, Jason Li, Honghao Lin, Jelani Nelson, Vihan Shah, David P. Woodruff:
Space Complexity of Minimum Cut Problems in Single-Pass Streams. - Minh Tran, Thang Pham, Winston Bounsavy, Tri Nguyen, Ngan Le:
A2VIS: Amodal-Aware Approach to Video Instance Segmentation. - Sami Jaghouar, Jack Min Ong, Manveer Basra, Fares Obeid, Jannik Straube, Michael Keiblinger, Elie Bakouch, Lucas Atkins, Maziyar Panahi, Charles Goddard, Max Ryabinin, Johannes Hagemann:
INTELLECT-1 Technical Report. - Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do:
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation. - Kento Uchida, Teppei Yamaguchi, Shinichi Shirakawa:
Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality. - Wooseok Jang, Youngjun Hong, Geonho Cha, Seungryong Kim:
ControlFace: Harnessing Facial Parametric Control for Face Rigging. - Shintaro Fukushima, Kenji Yamanishi:
Graph Community Augmentation with GMM-based Modeling in Latent Space. - Hussein Hammoud, Yuning Zhang, Zihang Cheng, Seun Sangodoyin, Markus Hofer, Faruk Pasic, Thomas M. Pohl, Radek Závorka, Ales Prokes, Thomas Zemen, Christoph F. Mecklenbräuker, Andreas F. Molisch:
Double-Directional V2V Channel Measurement using ReRoMA at 60 GHz. - Christopher Fusco, Mosam Dabhi, Shin-Fang Ch'ng, Simon Lucey:
Object Agnostic 3D Lifting in Space and Time. - Pamely Zantou, Blessed Guda, Bereket Retta, Gladys Inabeza, Carlee Joe-Wong, Assane Gueye:
HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning. - Hanyao Guo, Yunhai Han, Harish Ravichandar:
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics. - Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover:
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. - Yifan Xu, Xue Jiang, Dongrui Wu:
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition. - Yi Kuang, Jiang Li, Songsong Li, Chaoping Xing:
Coded Distributed (Batch) Matrix Multiplication over Galois Ring via RMFE. - Daiheng Zhang, Chengyue Gong, Qiang Liu:
Rectified Flow For Structure Based Drug Design. - Zijian Chen, Tingzhu Chen, Wenjun Zhang, Guangtao Zhai:
OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones? - Takaaki Fujita:
Superhypergraph Neural Networks and Plithogenic Graph Neural Networks: Theoretical Foundations. - Tao Tang, Hong Liu, Yingxuan You, Ti Wang, Wenhao Li:
Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video. - Colby Fronk, Linda R. Petzold:
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods. - Aayush Kumar Tyagi, Vaibhav Mishra, Ashok Tiwari, Lalita Mehra, Prasenjit Das, Govind Makharia, Prathosh AP, Mausam:
MeasureNet: Measurement Based Celiac Disease Identification. - Jia Guo, Longxu Dou, Guangtao Zeng, Stanley Kok, Wei Lu, Qian Liu:
SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages. - Kurukulasooriya Fernando, Gianluca Demartini:
MiningGPT - A Domain-Specific Large Language Model for the Mining Industry. - Jiaxing Zhang, Luosong Guo, Kun Zhu, Houming Qiu:
A Semantic Communication System for Real-time 3D Reconstruction Tasks. - Fangming Zhao, Nikolaos Pappas, Meng Zhang, Howard H. Yang:
Age of Information in Random Access Networks with Energy Harvesting. - Arnav Kharbanda, Advait Chandorkar:
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching. - Xinzhe Shen, Jiale Luo, Hao Wang, Mingyi Liu, Schahram Dustdar, Zhongjie Wang:
A Hybrid BPMN-DMN Framework for Secure Inter-organizational Processes and Decisions Collaboration on Permissioned Blockchain. - Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li:
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences. - Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang:
TinyFusion: Diffusion Transformers Learned Shallow. - Yi Liao, Yongsheng Gao, Weichuan Zhang:
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models. - Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, Xiatian Zhu:
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data. - Songjie Xie, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief:
Siamese Machine Unlearning with Knowledge Vaporization and Concentration. - Qiyu Zhuang, Xinyue Shi, Shuang Liu, Wei Lu, Zhanhao Zhao, Yuxing Chen, Tong Li, Anqun Pan, Xiaoyong Du:
GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares (Extended Version). - Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng:
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. - Zhenzhong Cao, Chenyang Zhao, Qianyi Zhang, Jinzheng Guang, Yinuo Song Jingtai Liu:
RGBDS-SLAM: A RGB-D Semantic Dense SLAM Based on 3D Multi Level Pyramid Gaussian Splatting. - Hamzah A. A. M. Qaid, Bo Zhang, Dan Li, See-Kiong Ng, Wei Li:
FD-LLM: Large Language Model for Fault Diagnosis of Machines. - Alexei Kaltchenko:
Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis. - Ruichen Wang, Junliang Zhang, Qingsong Xie, Chen Chen, Haonan Lu:
PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control. - Zeyuan Li, Qingdao Huang:
Option Pricing with Convolutional Kolmogorov-Arnold Networks. - Qianlong Li, Chen Huang, Shuai Li, Yuanxin Xiang, Deng Xiong, Wenqiang Lei:
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering. - N. Sukumar, Amit Acharya:
Variational formulation based on duality to solve partial differential equations: Use of B-splines and machine learning approximants. - Christian Bluethgen, Dave Van Veen, Cyril Zakka, Katherine Link, Aaron Fanous, Roxana Daneshjou, Thomas Frauenfelder, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari:
Best Practices for Large Language Models in Radiology. - Wenru Liu, Yongkang Song, Chengzhen Meng, Zhiyu Huang, Haochen Liu, Chen Lv, Jun Ma:
Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles. - Canqiang Weng, Can Chen, Jingjun Tan, Tianlu Pan, Renxin Zhong:
Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance. - Xiaoqi Zhao, Youwei Pang, Shijie Chang, Yuan Zhao, Lihe Zhang, Huchuan Lu, Jinsong Ouyang, Georges El Fakhri, Xiaofeng Liu:
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes. - An Ning, Tai-Yue Li, Nan-Yow Chen:
Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement. - Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi:
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. - Lingyun Zhang, Yu Xie, Yanwei Fu, Ping Chen:
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization. - Jinouwen Zhang, Rongkun Xue, Yazhe Niu, Yun Chen, Jing Yang, Hongsheng Li, Yu Liu:
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective. - Gorkem Polat, Ümit Mert Çaglar, Alptekin Temizel:
Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity. - Joy Dhar, Nayyar Zaidi, Maryam Haghighat, Puneet Goyal, Sudipta Roy, Azadeh Alavi, Vikas Kumar:
Multimodal Fusion Learning with Dual Attention for Medical Imaging. - Hao Yang, Zhenyu Zhang, Yanyan Zhao, Bing Qin:
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis. - Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang:
Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. - Alan Wake, Bei Chen, C. X. Lv, Chao Li, Chengen Huang, Chenglin Cai, Chujie Zheng, Daniel Cooper, Fan Zhou, Feng Hu, Guoyin Wang, Heng Ji, Howard Qiu, Jiangcheng Zhu, Jun Tian, Katherine Su, Lihuan Zhang, Liying Li, Ming Song, Mou Li, Peng Liu, Qicheng Hu, Shawn Wang, Shijun Zhou, Shiming Yang, Shiyong Li, Tianhang Zhu, Wen Xie, Xiang He, Xiaobo Chen, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Yanpeng Li, Yongke Zhao, Yongzhen Luo, Yuchi Xu, Yuxuan Sha, Zhaodong Yan, Zhiyuan Liu, Zirui Zhang, Zonghong Dai:
Yi-Lightning Technical Report. - Liangwei Jiang, Ruida Li, Zhifeng Zhang, Shuo Fang, Chenguang Ma:
EmojiDiff: Advanced Facial Expression Control with High Identity Preservation in Portrait Generation. - Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi:
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models. - Michelle Elizabeth, Morgan Veyret, Miguel Couceiro, Ondrej Dusek, Lina Maria Rojas-Barahona:
Do Large Language Models with Reasoning and Acting Meet the Needs of Task-Oriented Dialogue? - Marc Goerigk, Michael Hartisch, Sebastian Merten:
Towards Robust Interpretable Surrogates for Optimization. - Eriko Shigetsugu, Hiroki Sakaji, Itsuki Noda:
Indexing Economic Fluctuation Narratives from Keiki Watchers Survey. - Wei Luo, Deyu Zhang, Ying Tang, Fan Wu, Yaoxue Zhang:
EdgeOAR: Real-time Online Action Recognition On Edge Devices. - Yiqin Wang, Haoji Zhang, Jingqi Tian, Yansong Tang:
Ponder & Press: Advancing Visual GUI Agent towards General Computer Control. - Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo:
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Xiaoming Shi, Xiaodan Shao, Beixiong Zheng, Rui Zhang:
6DMA-Aided Cell-Free Massive MIMO Communication. - Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, Wenhai Wang:
MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost. - Subham Sahoo, Huai Wang, Frede Blaabjerg:
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives. - Jiazhou Liu, Aravinda S. Rao, Fucai Ke, Tim Dwyer, Benjamin Tag, Pari Delir Haghighi:
AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites. - Sascha Welten, Karl Kindermann, Ahmet Polat, Martin Görz, Maximilian Jugl, Laurenz Neumann, Alexander Neumann, Johannes Lohmöller, Jan Pennekamp, Stefan Decker:
PASTA-4-PHT: A Pipeline for Automated Security and Technical Audits for the Personal Health Train. - Elliot Murphy:
Shadow of the (Hierarchical) Tree: Reconciling Symbolic and Predictive Components of the Neural Code for Syntax. - Joachim Dunkel:
Streamlining the Action Dependency Graph Framework: Two Key Enhancements. - Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo:
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction. - Qianhan Feng, Wenshuo Li, Tong Lin, Xinghao Chen:
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model. - Shan Yang:
MFTF: Mask-free Training-free Object Level Layout Control Diffusion Model. - Sergio López-Ureña, Dionisio F. Yáñez:
Optimal linear subdivision rules for noisy data. - Zhuokun Chen, Jinwu Hu, Zeshuai Deng, Yufeng Wang, Bohan Zhuang, Mingkui Tan:
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion. - Akash Kumar, Sanjoy Dasgupta:
Learning Smooth Distance Functions via Queries. - Qing Yu, Kechuan Dong, Zhiling Guo, Jiaxing Li, Hongjun Tan, Yanxiu Jin, Jian Yuan, Haoran Zhang, Junwei Liu, Qi Chen, Jinyue Yan:
Global Estimation of Building-Integrated Facade and Rooftop Photovoltaic Potential by Integrating 3D Building Footprint and Spatio-Temporal Datasets. - Hongyan Zhi, Peihao Chen, Junyan Li, Shuailei Ma, Xinyu Sun, Tianhang Xiang, Yinjie Lei, Mingkui Tan, Chuang Gan:
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences. - Surangika Ranathunga, Rumesh Sirithunga, Himashi Rathnayake, Lahiru De Silva, Thamindu Aluthwala, Saman Peramuna, Ravi Shekhar:
SiTSE: Sinhala Text Simplification Dataset and Evaluation. - Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo:
FedAH: Aggregated Head for Personalized Federated Learning. - Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper:
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames. - Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan:
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning. - Qiyuan Shen, Hengwang Zhao, Weihao Yan, Chunxiang Wang, Tong Qin, Ming Yang:
Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures. - Han Han, Wei Zhai, Yang Cao, Bin Li, Zhengjun Zha:
Event-Based Tracking Any Point with Motion-Augmented Temporal Consistency. - Xu Yang, Chenhui Lin, Haotian Liu, Wenchuan Wu:
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks. - Christian Gapp, Elias Tappeiner, Martin Welk, Rainer Schubert:
Multimodal Medical Disease Classification with LLaMA II. - Xin Yan, Yuxuan Cai, Qiuyue Wang, Yuan Zhou, Wenhao Huang, Huan Yang:
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation. - Zhiyuan Li, Jingzheng Wu, Xiang Ling, Tianyue Luo, Zhiqing Rui, Yanjun Wu:
The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries. - Spyros Rigas, Michalis Papachristou, Ioannis Sotiropoulos, Georgios Alexandridis:
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks. - Kai Pfeiffer:
Sparse Hierarchical Non-Linear Programming for Inverse Kinematic Planning and Control with Autonomous Goal Selection. - Philippe Lalanda, Germán Vega, Denis Morand:
Microservice-based edge platform for AI services. - Katherine Abramski, Riccardo Improta, Giulio Rossetti, Massimo Stella:
The "LLM World of Words" English free association norms generated by large language models. - Elizabeth Remfry, Rafael Henkin, Michael R. Barnes, Aakanksha Naik:
Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications. - Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu:
Can Large Language Models Serve as Evaluators for Code Summarization? - Junwei Deng, Weijing Tang, Jiaqi W. Ma:
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. - Jaskirat Singh, Lindsey Li, Weijia Shi, Ranjay Krishna, Yejin Choi, Pang Wei Koh, Michael F. Cohen, Stephen Gould, Liang Zheng, Luke Zettlemoyer:
Negative Token Merging: Image-based Adversarial Feature Guidance. - Sheikh Shafayat, Dongkeun Yoon, Woori Jang, Jiwoo Choi, Alice Oh, Seohyon Jung:
A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls. - Rémi Abgrall, Yongle Liu, Walter Boscheri:
Virtual finite element and hyperbolic problems: the PAMPA algorithm. - Xiaomin Li, Xu Jia, Qinghe Wang, Haiwen Diao, Mengmeng Ge, Pengxiang Li, You He, Huchuan Lu:
MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models. - Qianyi Chen, Ying Chen, Bo Li:
Practical Performative Policy Learning with Strategic Agents. - Xiyu Han, Xian Zhong, Wenxin Huang, Xuemei Jia, Wenxuan Liu, Xiaohan Yu, Alex Chichung Kot:
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification. - Daniel Arnström, André M. H. Teixeira:
Data-Driven and Stealthy Deactivation of Safety Filters. - Rajesh Mangannavar, Alan Fern, Prasad Tadepalli:
Hierarchical Object-Oriented POMDP Planning for Object Rearrangement. - María C. Bas, Vicente J. Bolós, Alvaro E. Prieto, Roberto Rodríguez-Echeverría, Fernando Sánchez-Figueroa:
A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens' employability. - Chayan Tank, Shaina Mehta, Sarthak Pol, Vinayak Katoch, Avinash Anand, Raj Jaiswal, Rajiv Ratn Shah:
Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models. - Aniket K. Singh, Debasis Chaudhuri, Manish Pratap Singh, Samiran Chattopadhyay:
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs. - Carlos J. Costa:
DeFi: Concepts and Ecosystem. - Silvia Lucia Sanna, Leonardo Regano, Davide Maiorca, Giorgio Giacinto:
Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study. - Wen-Dong Jiang, Chih-Yung Chang, Show-Jane Yen, Diptendu Sinha Roy:
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability. - Jiakai Wang, Pengfei Zhang, Renshuai Tao, Jian Yang, Hao Liu, Xianglong Liu, Yunchao Wei, Yao Zhao:
Behavior Backdoor for Deep Learning Models. - Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca, Rasesh Udayakumar Shetty, Naitik Agrawal, Dhwanil Subhashbhai Shah, Yuqian Fu, Xi Wang, Kristina Toutanova, Danda Pani Paudel, Luc Van Gool:
Understanding the World's Museums through Vision-Language Reasoning. - Davide Gallon, Arnulf Jentzen, Philippe von Wurstemberger:
An overview of diffusion models for generative artificial intelligence. - Xiao-Jun Wu, Cai-Jun Zhao, Chun Meng, Hang Wang:
Research on Cervical Cancer p16/Ki-67 Immunohistochemical Dual-Staining Image Recognition Algorithm Based on YOLO. - Anna Kuzina, Jakub M. Tomczak:
Hierarchical VAE with a Diffusion-based VampPrior. - Pang Li, Shahrul Azman Mohd Noah, Hafiz Mohd Sarim:
Convolutional Transformer Neural Collaborative Filtering. - Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Hao Yang:
Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge. - Pang Li, Shahrul Azman Mohd Noah, Hafiz Mohd Sarim:
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems. - Shanshan Xiao, Pengzhan Jin, Yifa Tang:
A deformation-based framework for learning solution mappings of PDEs defined on varying domains. - Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough:
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking. - Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Luis F. Gomez, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti:
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data. - Nikola Ljubesic, Taja Kuzman, Ivana Filipovic Petrovic, Jelena Parizoska, Petya Osenova:
CLASSLA-Express: a Train of CLARIN.SI Workshops on Language Resources and Tools with Easily Expanding Route. - Katarzyna Janocha, Annabel Ling, Alice Godson, Yulia Lampi, Simon Bornschein, Nils Y. Hammerla:
Harnessing Preference Optimisation in Protein LMs for Hit Maturation in Cell Therapy. - Wenjie Cai, Yi Hu, Xiang Qu, Hui Zhao, Gongyi Wang, Jing Li, Zihan Huang:
Machine Learning Analysis of Anomalous Diffusion. - Anna-Maria Halacheva, Yang Miao, Jan-Nico Zaech, Xi Wang, Luc Van Gool, Danda Pani Paudel:
Holistic Understanding of 3D Scenes as Universal Scene Description. - Bo Pang, Sibo Cheng, Yuhan Huang, Yufang Jin, Yike Guo, Iain Colin Prentice, Sandy P. Harrison, Rossella Arcucci:
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data. - Zhuoxiao Li, Shanliang Yao, Qizhong Gao, Ángel F. García-Fernández, Yong Yue, Xiaohui Zhu:
ULSR-GS: Ultra Large-scale Surface Reconstruction Gaussian Splatting with Multi-View Geometric Consistency. - Thi-Nhu-Quynh Nguyen, Quang-Huy Ho, Duy-Thai Nguyen, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran:
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation. - Zehuan Wu, Jingcheng Ni, Xiaodong Wang, Yuxin Guo, Rui Chen, Lewei Lu, Jifeng Dai, Yuwen Xiong:
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving. - Aditya Narayan Sankaran, Reza Farahbakhsh, Noël Crespi:
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning. - Peilin Zhou, Bo Du, Yongchao Xu:
CellSeg1: Robust Cell Segmentation with One Training Image. - Miguel Mota-Cruz, João H. Santos, José F. Macedo, Karima Velasquez, David Perez Abreu:
Optimizing Microservices Placement in the Cloud-to-Edge Continuum: A Comparative Analysis of App and Service Based Approaches. - Xiang Li, Yucheng Zhou, Laiping Zhao, Jing Li, Fangming Liu:
Impromptu Cybercrime Euphemism Detection. - Joshua Owotogbe, Indika Kumara, Willem-Jan van den Heuvel, Damian Andrew Tamburri:
Chaos Engineering: A Multi-Vocal Literature Review. - Mikhail Burtsev:
Learning Elementary Cellular Automata with Transformers. - Yichen Wang, Chengcheng Yu:
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking. - Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning. - Tiago Dias, João Vitorino, Eva Maia, Isabel Praça:
Network Simulation with Complex Cyber-attack Scenarios. - Yonghao Dang, Liyuan Liu, Hui Kang, Ping Ye, Jianqin Yin:
MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection. - Zhu Liu, Cunliang Kong, Ying Liu, Maosong Sun:
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs. - Xinrui Yan, Jiangyan Yi, Jianhua Tao, Yujie Chen, Hao Gu, Guanjun Li, Junzuo Zhou, Yong Ren, Tao Xu:
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio. - Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan:
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration. - Yuelei Wang, Jian Zhang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li:
CPA: Camera-pose-awareness Diffusion Transformer for Video Generation. - Xiaoguang Han, Yushuang Wu, Luyue Shi, Haolin Liu, Hongjie Liao, Lingteng Qiu, Weihao Yuan, Xiaodong Gu, Zilong Dong, Shuguang Cui:
MVImgNet2.0: A Larger-scale Dataset of Multi-view Images. - Mona Alawadh, Mahesan Niranjan, Hansung Kim:
Semantic Scene Completion with Multi-Feature Data Balancing Network. - Jennifer Ding, Eva Jäger, Victoria Ivanova, Mercedes Bunz:
My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset. - Cheng-Yu Pai, Yu-Che Tung, Zhen-Ming Huang, Chao-Yu Chen:
Set Size Bound for Aperiodic Z-Complementary Sets. - Zhixiang Wang, Guangnan Ye, Xiaosen Wang, Siheng Chen, Zhibo Wang, Xingjun Ma, Yu-Gang Jiang:
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model. - Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein:
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations. - Heejin Do, Sangwon Ryu, Jonghwi Kim, Gary Geunbae Lee:
Multi-Facet Blending for Faceted Query-by-Example Retrieval. - Shwetha Somasundaram, Anirudh Phukan, Apoorv Saxena:
PLD+: Accelerating LLM inference by leveraging Language Model Artifacts. - Mridula Vijendran, Jingjing Deng, Shuang Chen, Edmond S. L. Ho, Hubert P. H. Shum:
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey. - Lasantha Thakshila Wedage, Bernard Butler, Mehmet Can Vuran, Sasitharan Balasubramaniam, Christos Argyropoulos:
Antennas in Walls: Performance Analysis of Microstrip Patch Antennas Designed for Internet of Paint (IoP). - Ashhadul Islam, Abdesselam Bouzerdoum, Samir Brahim Belhaouari:
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks. - Weiqiao Shan, Long Meng, Tong Zheng, Yingfeng Luo, Bei Li, junxin Wang, Tong Xiao, Jingbo Zhu:
Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization. - Md Raqib Khan, Anshul Negi, Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala:
Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond. - Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier, Martina Ziefle:
Misalignments in AI Perception: Quantitative Findings and Visual Mapping of How Experts and the Public Differ in Expectations and Risks, Benefits, and Value Judgments. - Hong Lin, Shixin Wan, Zhongle Xie, Ke Chen, Meihui Zhang, Lidan Shou, Gang Chen:
A Comprehensive Study of Shapley Value in Data Analytics. - Linh Trinh, Siegfried Mercelis, Ali Anwar:
A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles. - Qirui Yang, Yinbo Li, Peng-Tao Jiang, Qihua Cheng, Biting Yu, Yihao Liu, Huanjing Yue, Jingyu Yang:
Learning Differential Pyramid Representation for Tone Mapping. - José Rui Figueira, Kathrin Klamroth, Michael Stiglmayr, Julia Sudhoff Santos:
On the Computational Complexity of Multi-Objective Ordinal Unconstrained Combinatorial Optimization. - Junzhi Li, Jingliang Sun, Teng Long, Zhenlin Zhou:
Differential Flatness-based Fast Trajectory Planning for Fixed-wing Unmanned Aerial Vehicles. - Sangbeom Lim, Seongchan Kim, Seungjun An, Seokju Cho, Paul Hongsuck Seo, Seungryong Kim:
Multi-Granularity Video Object Segmentation. - Filipo Sharevski, Jennifer Vander Loop, Sarah Ferguson:
"Oh, sh*t! I actually opened the document!": An Empirical Study of the Experiences with Suspicious Emails in Virtual Reality Headsets. - RuiZhe Jiang, Haotian Lei:
Leverage Domain-invariant assumption for regularization. - Nitish Mital, Simon Malzard, Richard Walters, Celso M. De Melo, Raghuveer Rao, Victoria Nockles:
Improving Object Detection by Modifying Synthetic Data with Explainable AI. - Grzegorz Ficht, Sven Behnke:
Maximum Impulse Approach to Soccer Kicking for Humanoid Robots. - Andrzej Indrzejczak, Michal Zawidzki:
Definite Descriptions and Hybrid Tense Logic. - Cong Xie, Han Zou, Ruiqi Yu, Yan Zhang, Zhenpeng Zhan:
SerialGen: Personalized Image Generation by First Standardization Then Personalization. - Gabriela Ben Melech Stan, Estelle Aflalo, Man Luo, Shachar Rosenman, Tiep Le, Sayak Paul, Shao-Yen Tseng, Vasudev Lal:
FastRM: An efficient and automatic explainability framework for multimodal generative models.
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last updated on 2025-01-13 01:08 CET by the dblp team
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