Papers
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Yuehua Zhu, Muli Yang, Cheng Deng et al.
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li, Richard Zhang, Jingwan (Cynthia) Lu et al.
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning
Youngsung Kim, Jinwoo Shin, Eunho Yang et al.
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
Xin Zhang, Yanhua Li, Ziming Zhang et al.
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin, Julien Perolat, Mathieu Lauriere et al.
Field-wise Learning for Multi-field Categorical Data
Zhibin Li, Jian Zhang, Yongshun Gong et al.
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Chuan Wen, Jierui Lin, Trevor Darrell et al.
Finding All $\epsilon$-Good Arms in Stochastic Bandits
Blake Mason, Lalit Jain, Ardhendu Tripathy et al.
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu, Meisam Razaviyayn, Bo Yang et al.
Finding the Homology of Decision Boundaries with Active Learning
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy et al.
Fine-Grained Dynamic Head for Object Detection
Lin Song, Yanwei Li, Zhengkai Jiang et al.
Finer Metagenomic Reconstruction via Biodiversity Optimization
Simon Foucart, David Koslicki
Finite Continuum-Armed Bandits
Solenne Gaucher
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai et al.
Finite-Time Analysis for Double Q-learning
Huaqing Xiong, Lin Zhao, Yingbin Liang et al.
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee, Samuel Schoenholz, Jeffrey Pennington et al.
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
Lemeng Wu, Bo Liu, Peter Stone et al.
First Order Constrained Optimization in Policy Space
Yiming Zhang, Quan Vuong, Keith Ross
First-Order Methods for Large-Scale Market Equilibrium Computation
Yuan Gao, Christian Kroer
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm
Tianyi Lin, Nhat Ho, Xi Chen et al.
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Nicholas Carlini et al.
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy et al.
FleXOR: Trainable Fractional Quantization
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim et al.