Papers
Exploring Binary Classification Hidden within Partial Label Learning
Hengheng Luo, Yabin Zhang, Suyun Zhao et al.
Exploring Fourier Prior for Single Image Rain Removal
Xin Guo, Xueyang Fu, Man Zhou et al.
Exploring the Benefits of Teams in Multiagent Learning
David Radke, Kate Larson, Tim Brecht
Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems
Xu Wan, Lanting Zeng, Mingyang Sun
Extending Decision Tree to Handle Multiple Fairness Criteria
Alessandro Castelnovo
Fair Division of Indivisible Goods: A Survey
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas et al.
Fair Equilibria in Sponsored Search Auctions: The Advertisers’ Perspective
Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi et al.
Fair, Individually Rational and Cheap Adjustment
Gleb Polevoy, Marcin Dziubiński
Fairness without the Sensitive Attribute via Causal Variational Autoencoder
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
Song Wang, Yushun Dong, Xiao Huang et al.
Fallacious Argument Classification in Political Debates
Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan et al.
Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning
Mingzhe Xing, Hangyu Mao, Zhen Xiao
FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis
Rongjie Huang, Max W. Y. Lam, Jun Wang et al.
FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework
Guozheng Li, Xu Chen, Peng Wang et al.
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
Wei Fan, Kunpeng Liu, Hao Liu et al.
Feature Dense Relevance Network for Single Image Dehazing
Yun Liang, Enze Huang, Zifeng Zhang et al.
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.