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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)

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization AISTATS 2024 Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024 Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases IJCAI 2024 Enhancing Multi-Label Classification via Dynamic Label-Order Learning AAAI 2024 Enhancing Neural Training via a Correlated Dynamics Model ICLR 2024 Enhancing Non-Matching Reference Speech Quality Assessment through Dynamic Weight Adaptation Interspeech 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models ECCV 2024 Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning ICML 2024 Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features Interspeech 2024 Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction ICLR 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ICLR 2024 Enhancing Translation Ability of Large Language Models by Leveraging Task-Related Layers COLING 2024 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 Enough Is Enough! a Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies COLING 2024 Ensemble Pruning for Out-of-distribution Generalization ICML 2024 Ensemble sampling for linear bandits: small ensembles suffice NeurIPS 2024 Ensembles of Hybrid and End-to-End Speech Recognition. COLING 2024 Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024