Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
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Papers (including subtopics)
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
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
ACL 2023
A Corrected Expected Improvement Acquisition Function Under Noisy Observations
ACML 2023
Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning
ACML 2023
AdaNorm: Adaptive Gradient Norm Correction Based Optimizer for CNNs
WACV 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
CVPR 2023
Adaptive Computation with Elastic Input Sequence
ICML 2023
Adaptive Data-Free Quantization
CVPR 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AAAI 2023
Adaptive Neural Network Quantization For Lightweight Speaker Verification
Interspeech 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
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images
CVPR 2023
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation
EMNLP 2023
Addressing the Length Bias Challenge in Document-Level Neural Machine Translation
EMNLP 2023
Adversarial Normalization: I Can Visualize Everything (ICE)
CVPR 2023
A fast heuristic to optimize time-space tradeoff for large models
NeurIPS 2023
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
CVPR 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
NeurIPS 2023
Agnostic Learning of General ReLU Activation Using Gradient Descent
ICLR 2023
A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning
ACL 2023
A Guide Through the Zoo of Biased SGD
NeurIPS 2023