Optimization & Theory

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion NeurIPS 2022 Optical Flow Estimation for Spiking Camera CVPR 2022 Optimal and Adaptive Monteiro-Svaiter Acceleration NeurIPS 2022 Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NeurIPS 2022 Optimal channel selection with discrete QCQP AISTATS 2022 Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training ICML 2022 Optimally Controllable Perceptual Lossy Compression ICML 2022 Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition NeurIPS 2022 Optimization and Adaptive Generalization of Three layer Neural Networks ICLR 2022 Optimization-Based Separations for Neural Networks COLT 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 Optimized Potential Initialization for Low-Latency Spiking Neural Networks AAAI 2022 Optimizer Amalgamation ICLR 2022 Orthogonal Graph Neural Networks AAAI 2022 Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing AAAI 2022 Outlier Dimensions that Disrupt Transformers are Driven by Frequency EMNLP 2022 Outlier-Robust Sparse Estimation via Non-Convex Optimization NeurIPS 2022 Overcoming Oscillations in Quantization-Aware Training ICML 2022 Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis JMLR 2022 PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization NeurIPS 2022 PAC-Net: A Model Pruning Approach to Inductive Transfer Learning ICML 2022 Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention AAAI 2022 Parameter-Efficient Abstractive Question Answering over Tables or Text ACL 2022 Parameter-Efficient Legal Domain Adaptation EMNLP 2022 Parameter-Efficient Masking Networks NeurIPS 2022