Optimization & Theory

Fairness Reprogramming NeurIPS 2022 FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation EMNLP 2022 Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022 Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022 Faster Deep Reinforcement Learning with Slower Online Network NeurIPS 2022 Faster Privacy Accounting via Evolving Discretization ICML 2022 Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022 Fast Finite Width Neural Tangent Kernel ICML 2022 Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022 Fast Light-Weight Near-Field Photometric Stereo CVPR 2022 Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay NeurIPS 2022 Fast Monte-Carlo Approximation of the Attention Mechanism AAAI 2022 Fast Nearest Neighbor Machine Translation ACL 2022 Fast Vocabulary Transfer for Language Model Compression EMNLP 2022 Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution AAAI 2022 Feature Learning in L_2-regularized DNNs: Attraction/Repulsion and Sparsity NeurIPS 2022 FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Federated Learning With Position-Aware Neurons CVPR 2022 Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022 Feeding What You Need by Understanding What You Learned ACL 2022 FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering EMNLP 2022 Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022 Findings of the WMT 2022 Shared Task on Efficient Translation EMNLP 2022