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)

Counterfactual Explanations of Time Varying Rankings (Student Abstract) AAAI 2025 Counterfactual Explanations Under Model Multiplicity and Their Use in Computational Argumentation IJCAI 2025 Counterfactual Identification Under Monotonicity Constraints AAAI 2025 Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation IJCAI 2025 Counterfactual Online Learning for Open-Loop Monte-Carlo Planning AAAI 2025 Counterfactual Realizability ICLR 2025 Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation AAAI 2025 CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds ICCV 2025 Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning ACL 2025 Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers ICML 2025 Counting Stacked Objects ICCV 2025 Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models COLING 2025 CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model CVPR 2025 COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts CVPR 2025 CountSE: Soft Exemplar Open-set Object Counting ICCV 2025 Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025 Coupling Category Alignment for Graph Domain Adaptation IJCAI 2025 Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025 Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025 Covariance Selection over Networks AISTATS 2025 CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems ACL 2025 Coverage-based Fairness in Multi-document Summarization NAACL 2025 COVER: Context-Driven Over-Refusal Verification in LLMs ACL 2025 Covered Forest: Fine-grained generalization analysis of graph neural networks ICML 2025 Cover learning for large-scale topology representation ICML 2025