Optimization & Theory

Generalized Binary Search Network for Highly-Efficient Multi-View Stereo CVPR 2022 GENIE: Higher-Order Denoising Diffusion Solvers NeurIPS 2022 GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation EMNLP 2022 Geometry-Aware Guided Loss for Deep Crack Recognition CVPR 2022 Get More at Once: Alternating Sparse Training with Gradient Correction NeurIPS 2022 GhostNetV2: Enhance Cheap Operation with Long-Range Attention NeurIPS 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022 GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022 Go Wider Instead of Deeper AAAI 2022 GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale NeurIPS 2022 Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks AAAI 2022 Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NeurIPS 2022 Gradient Descent: The Ultimate Optimizer NeurIPS 2022 Gradient Estimation with Discrete Stein Operators NeurIPS 2022 Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs NeurIPS 2022 Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win AAAI 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NeurIPS 2022 Gradient Methods Provably Converge to Non-Robust Networks NeurIPS 2022 GradViT: Gradient Inversion of Vision Transformers CVPR 2022 GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering NAACL 2022 Graph Reordering for Cache-Efficient Near Neighbor Search NeurIPS 2022 GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022 Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics NeurIPS 2022 GULP: a prediction-based metric between representations NeurIPS 2022 Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model EMNLP 2022