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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

A Universal Law of Robustness via Isoperimetry NeurIPS 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021 AutoAttend: Automated Attention Representation Search ICML 2021 AutoBalance: Optimized Loss Functions for Imbalanced Data NeurIPS 2021 AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021 AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021 AutoFlow: Learning a Better Training Set for Optical Flow CVPR 2021 AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021 Auto-KWS 2021 Challenge: Task, Datasets, and Baselines Interspeech 2021 AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021 Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm AAAI 2021 Automated Concatenation of Embeddings for Structured Prediction ACL 2021 Automated Machine Learning on Graphs: A Survey IJCAI 2021 Automated Reasoning and Learning for Automated Payroll Management AAAI 2021 Automated Symbolic Law Discovery: A Computer Vision Approach AAAI 2021 Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach NeurIPS 2021 Automatic Design of Heuristic Algorithms for Binary Optimization Problems IJCAI 2021 Automatic Error Correction for Speaker Embedding Learning with Noisy Labels Interspeech 2021 Automatic Open-World Reliability Assessment WACV 2021 Automatic structured variational inference AISTATS 2021 Automatic Text Evaluation through the Lens of Wasserstein Barycenters EMNLP 2021 Automatic variational inference with cascading flows ICML 2021 Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization CVPR 2021 Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution L4DC 2021 AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression IJCAI 2021