conftrace_

Machine Learning

132,800 papers (10 classified directly here)

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

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Optimal Transfer Learning for Missing Not-at-Random Matrix Completion ICML 2025 Optimal Transport Alignment of User Preferences from Ratings and Texts UAI 2025 Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization ICML 2025 Optimal transport-based conformal prediction ICML 2025 Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization ACL 2025 Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing ICCV 2025 Optimal Transport for Probabilistic Circuits UAI 2025 Optimal Transport for Time Series Imputation ICLR 2025 Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing CVPR 2025 Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport IJCAI 2025 Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning AAAI 2025 Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection UAI 2025 Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System ACL 2025 Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics EMNLP 2025 Optimising Spatial Teamwork Under Uncertainty AAAI 2025 Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect ICML 2025 Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design ICLR 2025 Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints AISTATS 2025 Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading ACL 2025 Optimization for Neural Operators can Benefit from Width ICML 2025 Optimization Over a Probability Simplex JMLR 2025 Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach ICML 2025 Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach IJCAI 2025 Optimized Gradient Clipping for Noisy Label Learning AAAI 2025 Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference ICLR 2025