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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging EMNLP 2022 Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) IJCAI 2022 Improving Local Search Algorithms via Probabilistic Configuration Checking AAAI 2022 Improving Mini-batch Optimal Transport via Partial Transportation ICML 2022 Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment Interspeech 2022 Improving Mutual Information Estimation with Annealed and Energy-Based Bounds ICLR 2022 Improving Neural Implicit Surfaces Geometry With Patch Warping CVPR 2022 Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NeurIPS 2022 Improving Neural Political Statement Classification with Class Hierarchical Information ACL 2022 Improving Rare Word Recognition with LM-aware MWER Training Interspeech 2022 Improving Screening Processes via Calibrated Subset Selection ICML 2022 Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models EMNLP 2022 Improving Speech Enhancement through Fine-Grained Speech Characteristics Interspeech 2022 Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping EMNLP 2022 Improving Task-free Continual Learning by Distributionally Robust Memory Evolution ICML 2022 Improving the Accuracy of Learning Example Weights for Imbalance Classification ICLR 2022 Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022 Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract) IJCAI 2022 Improving Transformers with Probabilistic Attention Keys ICML 2022 Improving Transformer with an Admixture of Attention Heads NeurIPS 2022 Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards AAAI 2022 Incentivizing Combinatorial Bandit Exploration NeurIPS 2022 Incomplete Argumentation Frameworks: Properties and Complexity AAAI 2022 Inconsistent Planning: When in Doubt, Toss a Coin! AAAI 2022 In defense of dual-encoders for neural ranking ICML 2022