Papers
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
Ancong Wu, Wei-Shi Zheng
Factorized Explainer for Graph Neural Networks
Rundong Huang, Farhad Shirani, Dongsheng Luo
Fair Allocation of Items in Multiple Regions
Houyu Zhou, Tianze Wei, Biaoshuai Tao et al.
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract)
Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
Erhu He, Yiqun Xie, Alexander Sun et al.
Fair Lotteries for Participatory Budgeting
Haris Aziz, Xinhang Lu, Mashbat Suzuki et al.
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
Parian Haghighat, Denisa Gándara, Lulu Kang et al.
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.