Papers
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation
Alexander Long, Alan Blair, Herke van Hoof
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
Junghyun Lee, Gwangsu Kim, Mahbod Olfat et al.
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada et al.
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
Sokbae Lee, Yuan Liao, Myung Hwan Seo et al.
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Faster Algorithms for Weak Backdoors
Serge Gaspers, Andrew Kaploun
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang, Yunze Man, Zhao Song et al.
Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles
Anand D. Blum, R. Mitchell Parry
Fast Monte-Carlo Approximation of the Attention Mechanism
Hyunjun Kim, JeongGil Ko
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games
Gabriele Farina, Tuomas Sandholm
Fast Sparse Decision Tree Optimization via Reference Ensembles
Hayden McTavish, Chudi Zhong, Reto Achermann et al.
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack
Donghua Wang, Tingsong Jiang, Jialiang Sun et al.
Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution
Guangwei Gao, Wenjie Li, Juncheng Li et al.
Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing
Shice Liu, Shitao Lu, Hongyi Xu et al.
Feature Importance Explanations for Temporal Black-Box Models
Akshay Sood, Mark Craven
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Sameer Bibikar, Haris Vikalo, Zhangyang Wang et al.
Federated Learning for Face Recognition with Gradient Correction
Yifan Niu, Weihong Deng
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
Parikshit Ram, Kaushik Sinha
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien et al.
FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates
Bo Zhao, Peng Sun, Tao Wang et al.
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan, Guodong Long, LU LIU et al.
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
Yichen Ruan, Carlee Joe-Wong
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
Fanchen Bu, Dong Eui Chang
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training
Momchil Hardalov, Arnav Arora, Preslav Nakov et al.