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Optimization & Theory

7,804 papers (27 classified directly here)

16
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1,352
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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