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)

Approximate Global Convergence of Independent Learning in Multi-Agent Systems AISTATS 2025 Approximate information maximization for bandit games AISTATS 2025 Approximate Lifted Model Construction IJCAI 2025 Approximately Correct Label Distribution Learning ICML 2025 Approximate State Abstraction for Markov Games AAAI 2025 Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence ICLR 2025 Approximating Latent Manifolds in Neural Networks via Vanishing Ideals ICML 2025 Approximating Metric Magnitude of Point Sets AAAI 2025 Approximating the Total Variation Distance between Gaussians AISTATS 2025 Approximating the total variation distance between spin systems COLT 2025 Approximation to Smooth Functions by Low-Rank Swish Networks ICML 2025 A Practical Analysis of Human Alignment with *PO NAACL 2025 A Practical Approach to Causal Inference over Time AAAI 2025 A Practical Examination of AI-Generated Text Detectors for Large Language Models NAACL 2025 A Practical Method for Generating String Counterfactuals NAACL 2025 A Practical Tool to Help Automate Interlinear Glossing: a Study on Mukrī Kurdish ACL 2025 A Preliminary Exploration of Phrase-Based SMT and Multi-BPE Segmentations through Concatenated Tokenised Corpora for Low-Resource Indian Languages EMNLP 2025 A Preliminary Study on NLP-Based Personalized Support for Type 1 Diabetes Management NAACL 2025 A Primal-dual Perspective for Distributed TD-learning IJCAI 2025 A primer on linear classification with missing data AISTATS 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets AAAI 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025