Optimization
1,960 papers
Papers per year
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8
25
19
28
34
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82
125
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89
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Papers
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
NeurIPS 2024
Weight Conditioning for Smooth Optimization of Neural Networks
ECCV 2024
Weight decay induces low-rank attention layers
NeurIPS 2024
What does guidance do? A fine-grained analysis in a simple setting
NeurIPS 2024
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
JMLR 2024
Why Do We Need Weight Decay in Modern Deep Learning?
NeurIPS 2024
Wino Vidi Vici: Conquering Numerical Instability of 8-Bit Winograd Convolution for Accurate Inference Acceleration on Edge
WACV 2024
Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training
JMLR 2024
Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis
AAAI 2024
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization
AAAI 2024
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI
AAAI 2023
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism
NeurIPS 2023
Accelerating the Training of Video Super-resolution Models
AAAI 2023
Accelerating Transformer Inference for Translation via Parallel Decoding
ACL 2023
A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation
CVPR 2023
Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
NeurIPS 2023
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
ICML 2023
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
CVPR 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AAAI 2023
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
AAAI 2023
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
NeurIPS 2023
A fast heuristic to optimize time-space tradeoff for large models
NeurIPS 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
NeurIPS 2023
A Hyperparameter Optimization Toolkit for Neural Machine Translation Research
ACL 2023
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs
AAAI 2023