Optimization & Theory

Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable ICLR 2022 A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective NeurIPS 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 A Unified Framework for Implicit Sinkhorn Differentiation CVPR 2022 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks ICML 2022 Autoinverse: Uncertainty Aware Inversion of Neural Networks NeurIPS 2022 Automatic differentiation of nonsmooth iterative algorithms NeurIPS 2022 Automatic Differentiation of Programs with Discrete Randomness NeurIPS 2022 Automatic Document Selection for Efficient Encoder Pretraining EMNLP 2022 Automatic Relation-Aware Graph Network Proliferation CVPR 2022 AutoML Two-Sample Test NeurIPS 2022 AutoSNN: Towards Energy-Efficient Spiking Neural Networks ICML 2022 A Variant of Concurrent Constraint Programming on GPU AAAI 2022 A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NeurIPS 2022 BackdoorBench: A Comprehensive Benchmark of Backdoor Learning NeurIPS 2022 Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NeurIPS 2022 Balanced MSE for Imbalanced Visual Regression CVPR 2022 BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022 B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022 Be Like Water: Adaptive Floating Point for Machine Learning ICML 2022 BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation ACL 2022 Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms NeurIPS 2022 Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics ACL 2022 Benefits of Additive Noise in Composing Classes with Bounded Capacity NeurIPS 2022 Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022