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)

AdaSplash: Adaptive Sparse Flash Attention ICML 2025 AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender EMNLP 2025 A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning CVPR 2025 A Data-driven Investigation of Euphemistic Language: Comparing the usage of “slave” and “servant” in 19th century US newspapers NAACL 2025 A Data-Driven Method for Analyzing and Quantifying Lyrics-Dance Motion Relationships NAACL 2025 A Datalog Rewriting Algorithm for Warded Ontologies IJCAI 2025 A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization WACV 2025 A Dataset for Programming-based Instructional Video Classification and Question Answering COLING 2025 A Dataset for Semantic Segmentation in the Presence of Unknowns CVPR 2025 A Dataset of Ancient Chinese Math Word Problems and an Application for Research in Historic Mathematics NAACL 2025 AdaTP: Attention-Debiased Token Pruning for Video Large Language Models EMNLP 2025 AdaV: Adaptive Text-visual Redirection for Vision-Language Models ACL 2025 AdaWorld: Learning Adaptable World Models with Latent Actions ICML 2025 ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025 ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification ICLR 2025 ADD: Attribution-Driven Data Augmentation Framework for Boosting Image Super-Resolution CVPR 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models ICLR 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching ICCV 2025 Adding Conditional Control to Diffusion Models with Reinforcement Learning ICLR 2025 Additive Model Boosting: New Insights and Path(ologie)s AISTATS 2025 Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection COLING 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 ADDQ: Adaptive distributional double Q-learning ICML 2025 Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models ACL 2025 Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025