Optimization

Optimizing Mode Connectivity for Class Incremental Learning ICML 2023 Overcoming Forgetting Catastrophe in Quantization-Aware Training ICCV 2023 Plateau-Reduced Differentiable Path Tracing CVPR 2023 Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control NeurIPS 2023 Practical Network Acceleration With Tiny Sets CVPR 2023 Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems ICML 2023 Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023 Probability-Based Global Cross-Modal Upsampling for Pansharpening CVPR 2023 Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation CVPR 2023 Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023 Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023 Quantum Multi-Model Fitting CVPR 2023 Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging CVPR 2023 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity JMLR 2023 Rethinking Word-Level Auto-Completion in Computer-Aided Translation EMNLP 2023 Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement AAAI 2023 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023 Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023 Robustly Learning a Single Neuron via Sharpness ICML 2023 Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting CVPR 2023 RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 SAM as an Optimal Relaxation of Bayes ICLR 2023