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)

MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization EMNLP 2025 ME2-BERT: Are Events and Emotions what you need for Moral Foundation Prediction? COLING 2025 Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data JMLR 2025 Mean-field analysis of polynomial-width two-layer neural network beyond finite time horizon COLT 2025 Mean-Field Microcanonical Gradient Descent AISTATS 2025 Meaningful Pose-Based Sign Language Evaluation EMNLP 2025 Meaning Variation and Data Quality in the Corpus of Founding Era American English ACL 2025 Measuring and Mitigating Media Outlet Name Bias in Large Language Models EMNLP 2025 Measuring Bias and Agreement in Large Language Model Presupposition Judgments ACL 2025 Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases EMNLP 2025 Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps EMNLP 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 Measuring Diversity in Synthetic Datasets ICML 2025 Measuring Gender Bias in Language Models in Farsi ACL 2025 Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models AAAI 2025 Measuring Label Ambiguity in Subjective Tasks using Predictive Uncertainty Estimation ACL 2025 Measuring Lexical Diversity of Synthetic Data Generated through Fine-Grained Persona Prompting EMNLP 2025 Measuring memorization in language models via probabilistic extraction NAACL 2025 Measuring memorization in RLHF for code completion ICLR 2025 Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches NAACL 2025 Measuring Non-Adversarial Reproduction of Training Data in Large Language Models ICLR 2025 Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective ICML 2025 Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark EMNLP 2025 Measuring scalar constructs in social science with LLMs EMNLP 2025 Measuring Sexism in US Elections: A Comparative Analysis of X Discourse from 2020 to 2024 EMNLP 2025