Papers
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
Yuezhou Wu, Yan Kang, Jiahuan Luo et al.
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Hong Zhang, Ji Liu, Juncheng Jia et al.
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Xinyi Shang, Yang Lu, Gang Huang et al.
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition
Qiang Shen, Haotian Feng, Rui Song et al.
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Wenyu Zhang, Li Shen, Wanyue Zhang et al.
Few-Shot Learning on Graphs
Chuxu Zhang, Kaize Ding, Jundong Li et al.
Filtration-Enhanced Graph Transformation
Zijian Chen, Rong-Hua Li, Hongchao Qin et al.
Fine-grained Complexity of Partial Minimum Satisfiability
Ivan Bliznets, Danil Sagunov, Kirill Simonov
Fine-tuning Deep Neural Networks by Interactively Refining the 2D Latent Space of Ambiguous Images
Jiafu Wei, Haoran Xie, Chia-Ming Chang et al.
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport
Jiying Zhang, Xi Xiao, Long-Kai Huang et al.
Fixed-Budget Best-Arm Identification in Structured Bandits
MohammadJavad Azizi, Branislav Kveton, Mohammad Ghavamzadeh
Fixing Knockout Tournaments With Seeds
Pasin Manurangsi, Warut Suksompong
FLS: A New Local Search Algorithm for K-means with Smaller Search Space
Junyu Huang, Qilong Feng, Ziyun Huang et al.
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
Xuan Rao, Hao Wang, Liang Zhang et al.
Forecasting Patient Outcomes in Kidney Exchange
Naveen Durvasula, Aravind Srinivasan, John Dickerson
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy
Maryam Tabar, Wooyong Jung, Amulya Yadav et al.
Forgiving Debt in Financial Network Games
Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing et al.
Fourier Analysis-based Iterative Combinatorial Auctions
Jakob Weissteiner, Chris Wendler, Sven Seuken et al.
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
Yang Lin, Tianyu Zhang, Peiqin Sun et al.
Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies
Maurice Funk, Jean Christoph Jung, Carsten Lutz
Function-words Adaptively Enhanced Attention Networks for Few-Shot Inverse Relation Classification
Chunliu Dou, Shaojuan Wu, Xiaowang Zhang et al.
Fusion Label Enhancement for Multi-Label Learning
Xingyu Zhao, Yuexuan An, Ning Xu et al.
Game Redesign in No-regret Game Playing
Yuzhe Ma, Young Wu, Xiaojin Zhu
Generalisation of Alpha-Beta Search for AND-OR Graphs With Partially Ordered Values
Junkang Li, Bruno Zanuttini, Tristan Cazenave et al.