Optimization & Theory

AFRNN: Stable RNN with Top Down Feedback and Antisymmetry ACML 2022 A general approximation lower bound in L^p norm, with applications to feed-forward neural networks NeurIPS 2022 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 A Hardware Perspective to Evaluating Probabilistic Circuits PGM 2022 AI-Driven Road Condition Monitoring across Multiple Nations AAAI 2022 AI Snap! Blocks for Speech Input and Output, Computer Vision, Word Embeddings, and Neural Net Creation, Training, and Use AAAI 2022 Algorithms that Approximate Data Removal: New Results and Limitations NeurIPS 2022 Aligned Weight Regularizers for Pruning Pretrained Neural Networks ACL 2022 AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models EMNLP 2022 A Momentumized, Adaptive, Dual Averaged Gradient Method JMLR 2022 Amortized Implicit Differentiation for Stochastic Bilevel Optimization ICLR 2022 Amortized Projection Optimization for Sliced Wasserstein Generative Models NeurIPS 2022 AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness NeurIPS 2022 Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective NeurIPS 2022 Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability NeurIPS 2022 Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models EMNLP 2022 An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching AACL 2022 An empirical analysis of compute-optimal large language model training NeurIPS 2022 An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning EMNLP 2022 An In-depth Study of Stochastic Backpropagation NeurIPS 2022 Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022 Annihilation of Spurious Minima in Two-Layer ReLU Networks NeurIPS 2022 A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness ACML 2022 A PAC-Bayesian Generalization Bound for Equivariant Networks NeurIPS 2022 A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification Interspeech 2022