Papers
Fairness-Aware Structured Pruning in Transformers
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian et al.
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples
Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam et al.
Fairness without Demographics through Shared Latent Space-Based Debiasing
Rashidul Islam, Huiyuan Chen, Yiwei Cai
Fair Participation via Sequential Policies
Reilly Raab, Ross Boczar, Maryam Fazel et al.
FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels
Errikos Streviniotis, Athina Georgara, Filippo Bistaffa et al.
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
Alexandru Lopotenco, Ian Tong Pan, Jack Zhang et al.
Fair Sampling in Diffusion Models through Switching Mechanism
Yujin Choi, Jinseong Park, Hoki Kim et al.
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
Cheng Yang, Jixi Liu, Yunhe Yan et al.
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
Zikai Xiong, Niccolò Dalmasso, Alan Mishler et al.
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
Patrick Altmeyer, Mojtaba Farmanbar, Arie van Deursen et al.
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)
Wenzheng Shu, Yanlong Huang, Wenxin Tai et al.
Far3D: Expanding the Horizon for Surround-View 3D Object Detection
Xiaohui Jiang, Shuailin Li, Yingfei Liu et al.
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval
Yanzhe Chen, Huasong Zhong, Xiangteng He et al.
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
Ruihao Gong, Yang Yong, Zining Wang et al.
Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)
Michał Maras, Michał Kępa, Jakub Kowalski et al.
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan et al.
Fast & Fair: A Collaborative Platform for Fair Division Applications
Jiatong Han, Warut Suksompong
Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement
Wang Liu, Wei Gao, Xingming Mu
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening
Jack Foster, Stefan Schoepf, Alexandra Brintrup
FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text
Kailin Li, Lixin Yang, Zenan Lin et al.
FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection
Zizhang Wu, Yuanzhu Gan, Yunzhe Wu et al.
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection
Weiwei Xiao, Yongyong Chen, Qiben Shan et al.
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
Mengke Li, Zhikai HU, Yang Lu et al.