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Optimization

1638 directly classified papers

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Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism NIPS 2023
Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique CVPR 2022
Neural Data-Dependent Transform for Learned Image Compression CVPR 2022
AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-Time Image Enhancement CVPR 2022
PatchFormer: An Efficient Point Transformer With Patch Attention CVPR 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration CVPR 2022
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022
Deep Generalized Unfolding Networks for Image Restoration CVPR 2022
Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector CVPR 2022
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo CVPR 2022
Computing Wasserstein-p Distance Between Images With Linear Cost CVPR 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability CVPR 2022
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention CVPR 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration NIPS 2022
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling NIPS 2022
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NIPS 2022
Gradient Estimation with Discrete Stein Operators NIPS 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks NIPS 2022
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent NIPS 2022
Tensor Wheel Decomposition and Its Tensor Completion Application NIPS 2022
When Does Differentially Private Learning Not Suffer in High Dimensions? NIPS 2022
GENIE: Higher-Order Denoising Diffusion Solvers NIPS 2022
Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms NIPS 2022
SGD with Coordinate Sampling: Theory and Practice JMLR 2022