Papers
Finding and Listing Front-door Adjustment Sets
Hyunchai Jeong, Jin Tian, Elias Bareinboim
Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach
Ziyi Chen, Shaocong Ma, Yi Zhou
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz, Sarah Bargal, Cihang Xie et al.
Finding Naturally Occurring Physical Backdoors in Image Datasets
Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji et al.
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Jasmin Brandt, Viktor Bengs, Björn Haddenhorst et al.
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo, Yujun Li, Cheng Chen
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
Jiechao Guan, Yong Liu, Zhiwu Lu
Fine-Grained Semantically Aligned Vision-Language Pre-Training
Juncheng Li, XIN HE, Longhui Wei et al.
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
Jue WANG, Binhang Yuan, Luka Rimanic et al.
Fine-tuning language models to find agreement among humans with diverse preferences
Michiel Bakker, Martin Chadwick, Hannah Sheahan et al.
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Haojie Zhang, Ge Li, Jia Li et al.
Finite Sample Analysis Of Dynamic Regression Parameter Learning
Mark Kozdoba, Edward Moroshko, Shie Mannor et al.
Finite-Sample Maximum Likelihood Estimation of Location
Shivam Gupta, Jasper Lee, ecprice et al.
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
Tao Sun, Dongsheng Li, Bao Wang
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games
Yang Cai, Argyris Oikonomou, Weiqiang Zheng
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
Tianyuan Jin, Pan Xu, Xiaokui Xiao et al.
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui et al.
FIRE: Semantic Field of Words Represented as Non-Linear Functions
Xin Du, Kumiko Tanaka-Ishii
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
Siddharth Reddy, Sergey Levine, Anca Dragan
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye, Lemeng Wu, Qiang Liu
First is Better Than Last for Language Data Influence
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan et al.
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael I. Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Fixed-Distance Hamiltonian Monte Carlo
Hadi Mohasel Afshar, Sally Cripps
FLAIR: Federated Learning Annotated Image Repository
Congzheng Song, Filip Granqvist, Kunal Talwar
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers et al.