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)

A Diachronic Analysis of Human and Model Predictions on Audience Gender in How-to Guides ACL 2025 A Diagnostic Framework for Auditing Reference-Free Vision-Language Metrics IJCNLP 2025 A Differentiable Rank-Based Objective for Better Feature Learning ICLR 2025 A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization ICCV 2025 A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis AISTATS 2025 ADIOS: Antibody Development via Opponent Shaping ICML 2025 A Disaggregated Dataset on English Offensiveness Containing Spans EMNLP 2025 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations ICLR 2025 A Distributional-Lifting Theorem for PAC Learning COLT 2025 A Distributional Perspective on Word Learning in Neural Language Models NAACL 2025 adithjrajeev at SemEval-2025 Task 10: Sequential Learning for Role Classification Using Entity-Centric News Summaries SemEval 2025 A Diverse and Effective Retrieval-Based Debt Collection System with Expert Knowledge NAACL 2025 Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control ICLR 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching ICML 2025 Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025 Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough? ICML 2025 Adjustment for Confounding using Pre-Trained Representations ICML 2025 AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025 AdminSet and AdminBERT: a Dataset and a Pre-trained Language Model to Explore the Unstructured Maze of French Administrative Documents COLING 2025 AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments CVPR 2025 ADMM for Nonconvex Optimization under Minimal Continuity Assumption ICLR 2025 ADMM for Structured Fractional Minimization ICLR 2025 ADO: Automatic Data Optimization for Inputs in LLM Prompts ACL 2025 AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset ACL 2025 AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising NAACL 2025