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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)

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance ACL 2023 Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NeurIPS 2023 JacobiNeRF: NeRF Shaping With Mutual Information Gradients CVPR 2023 Japanese-to-English Simultaneous Dubbing Prototype ACL 2023 JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization EMNLP 2023 JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields CVPR 2023 JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023 JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval IJCAI 2023 John Boy Walton at SemEval-2023 Task 5: An Ensemble Approach to Spoiler Classification and Retrieval for Clickbait Spoiling SemEval 2023 Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction CVPR 2023 Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NeurIPS 2023 Joint Blind Source Separation and Dereverberation for Automatic Speech Recognition using Delayed-Subsource MNMF with Localization Prior Interspeech 2023 Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction ACL 2023 Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks ICLR 2023 Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection Interspeech 2023 Joint Generator-Ranker Learning for Natural Language Generation ACL 2023 Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions CLeaR 2023 Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers ICCV 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training NeurIPS 2023 Kalman Bayesian Neural Networks for Closed-Form Online Learning AAAI 2023 KDEformer: Accelerating Transformers via Kernel Density Estimation ICML 2023 KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach IJCAI 2023 Keep-Alive Caching for the Hawkes process UAI 2023 Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches JMLR 2023