Papers
Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface
Tao Fang, Qian Zheng, Yu Qi et al.
Facility Location Games with Entrance Fees
Mengfan Ma, Mingyu Xiao, Tian Bai et al.
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
Shibo Jie, Zhi-Hong Deng
Factual and Informative Review Generation for Explainable Recommendation
Zhouhang Xie, Sameer Singh, Julian McAuley et al.
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
Rui Sun, Fengwei Zhou, Zhenhua Dong et al.
Fair Division with Prioritized Agents
Xiaolin Bu, Zihao Li, Shengxin Liu et al.
FairFed: Enabling Group Fairness in Federated Learning
Yahya H. Ezzeldin, Shen Yan, Chaoyang He et al.
Fair Generative Models via Transfer Learning
Christopher T.H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations
Yuying Zhao, Yu Wang, Tyler Derr
Fairness and Welfare Quantification for Regret in Multi-Armed Bandits
Siddharth Barman, Arindam Khan, Arnab Maiti et al.
Fairness Concepts for Indivisible Items with Externalities
Haris Aziz, Warut Suksompong, Zhaohong Sun et al.
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
Nathanael Jo, Bill Tang, Kathryn Dullerud et al.
Fair Representation Learning for Recommendation: A Mutual Information Perspective
Chen Zhao, Le Wu, Pengyang Shao et al.
Fair Short Paths in Vertex-Colored Graphs
Matthias Bentert, Leon Kellerhals, Rolf Niedermeier
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms
Peng Qi, Yuyan Bu, Juan Cao et al.
FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning
Haiyun Li, Jixin Zhang, Ning Xu et al.
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers
Jiongzhi Zheng, Kun He, Jianrong Zhou
FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
Kai Klede, Leo Schwinn, Dario Zanca et al.
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
Ping Xue, Yang Lu, Jingfei Chang et al.
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
Tianlong Nan, Yuan Gao, Christian Kroer
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data
Hossein Taheri, Christos Thrampoulidis
Fast Converging Anytime Model Counting
Yong Lai, Kuldeep S. Meel, Roland H.C. Yap
Fast Counterfactual Inference for History-Based Reinforcement Learning
Haichuan Gao, Tianren Zhang, Zhile Yang et al.