Papers
Explaining Self-Supervised Image Representations with Visual Probing
Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki et al.
Explanation in Constraint Satisfaction: A Survey
Sharmi Dev Gupta, Begum Genc, Barry O'Sullivan
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Mingkun Xu, Yujie Wu, Lei Deng et al.
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
Gaode Chen, Xinghua Zhang, Yanyan Zhao et al.
Fair and Efficient Resource Allocation with Partial Information
Daniel Halpern, Nisarg Shah
Fairness in Long-Term Participatory Budgeting
Martin Lackner, Jan Maly, Simon Rey
Fair Pairwise Exchange among Groups
Zhaohong Sun, Taiki Todo, Toby Walsh
Fast Algorithms for Relational Marginal Polytopes
Yuanhong Wang, Timothy van Bremen, Juhua Pu et al.
Faster Smarter Proof by Induction in Isabelle/HOL
Yutaka Nagashima
Fast Multi-label Learning
Xiuwen Gong, Dong Yuan, Wei Bao
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Chao Bian, Chao Qian, Frank Neumann et al.
Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao, Yaya Cheng, Qilong Zhang et al.
Federated Learning with Fair Averaging
Zheng Wang, Xiaoliang Fan, Jianzhong Qi et al.
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
Rui Hu, Yanmin Gong, Yuanxiong Guo
Federated Model Distillation with Noise-Free Differential Privacy
Lichao Sun, Lingjuan Lyu
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang, Yi Ren, Ming Lei et al.
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Wentao Chen, Chenyang Si, Wei Wang et al.
Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
Anqi Pang, Xin Chen, Haimin Luo et al.
Few-Shot Partial-Label Learning
Yunfeng Zhao, Guoxian Yu, Lei Liu et al.
Finding the Hardest Formulas for Resolution (Extended Abstract)
Tomáš Peitl, Stefan Szeider
Fine-Grained Air Quality Inference via Multi-Channel Attention Model
Qilong Han, Dan Lu, Rui Chen
Fine-grained Generalization Analysis of Structured Output Prediction
Waleed Mustafa, Yunwen Lei, Antoine Ledent et al.
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Shangwei Guo, Tianwei Zhang, Han Qiu et al.