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)

Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025 Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study EMNLP 2025 Dissecting the Impact of Model Misspecification in Data-Driven Optimization AISTATS 2025 Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms ICML 2025 DistaLs: a Comprehensive Collection of Language Distance Measures EMNLP 2025 Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation COLING 2025 Distance-Based Tree-Sliced Wasserstein Distance ICLR 2025 Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs ACL 2025 Distance Estimation for High-Dimensional Discrete Distributions AISTATS 2025 DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing ICCV 2025 DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion ICCV 2025 Distillation of Diffusion Features for Semantic Correspondence WACV 2025 Distillation of Discrete Diffusion through Dimensional Correlations ICML 2025 Distillation Scaling Laws ICML 2025 Distillation versus Contrastive Learning: How to Train Your Rerankers IJCNLP 2025 Distill-C: Enhanced NL2SQL via Distilled Customization with LLMs NAACL 2025 DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model ICCV 2025 Distilled Prompt Learning for Incomplete Multimodal Survival Prediction CVPR 2025 DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks ICLR 2025 Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection WACV 2025 Distilling an End-to-End Voice Assistant Without Instruction Training Data ACL 2025 Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025 Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey RSS 2025 Distilling Cross-Modal Knowledge into Domain-Specific Retrievers for Enhanced Industrial Document Understanding EMNLP 2025 Distilling Dataset into Neural Field ICLR 2025