Papers
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang, Zihao Deng, Martin Q. Ma et al.
Failure-Aware Gaussian Process Optimization with Regret Bounds
Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe et al.
Fair Adaptive Experiments
Waverly Wei, Xinwei Ma, Jingshen Wang
Fair Allocation of Indivisible Chores: Beyond Additive Costs
Bo Li, Fangxiao Wang, Yu Zhou
Fair Canonical Correlation Analysis
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou et al.
Fair Graph Distillation
Qizhang Feng, Zhimeng (Stephen) Jiang, Ruiquan Li et al.
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
zheng zhang, Qi Liu, Hao Jiang et al.
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
Jinqiu Jin, Haoxuan Li, Fuli Feng et al.
Fairness Aware Counterfactuals for Subgroups
Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos et al.
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj et al.
Fairness-guided Few-shot Prompting for Large Language Models
Huan Ma, Changqing Zhang, Yatao Bian et al.
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering
Marina Knittel, Max Springer, John Dickerson et al.
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee, Hanseul Cho, Se-Young Yun et al.
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar et al.
False Discovery Proportion control for aggregated Knockoffs
Alexandre Blain, Bertrand Thirion, Olivier Grisel et al.
FAMO: Fast Adaptive Multitask Optimization
Bo Liu, Yihao Feng, Peter Stone et al.
Fantastic Robustness Measures: The Secrets of Robust Generalization
Hoki Kim, Jinseong Park, Yujin Choi et al.
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu et al.
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
Jia Gu, Caizhi Tang, Han Yan et al.
Fast and Simple Spectral Clustering in Theory and Practice
Peter Macgregor
Fast Approximation of Similarity Graphs with Kernel Density Estimation
Peter Macgregor, He Sun
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
Dorian Baudry, Fabien Pesquerel, Rémy Degenne et al.
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention
Matteo Pagliardini, Daniele Paliotta, Martin Jaggi et al.
Fast Attention Requires Bounded Entries
Josh Alman, Zhao Song