Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
Learning from Equivalence Queries, Revisited
COLT 2026
Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training
ACL 2026
Learning from Imperfect Data: Incremental Learning and Few-shot Learning
AAAI 2026
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model
AAAI 2026
Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula
ACL 2026
Learning from Noisy Supervision: A Denoising-Debiasing Framework for Weakly Supervised Video Anomaly Detection
CVPR 2026
Learning from Oblivion: Predicting Knowledge-Overflowed Weights via Retrodiction of Forgetting
CVPR 2026
Learning from Reasoning Failures via Synthetic Data Generation
AAAI 2026
Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment
AAAI 2026
Learning from Synthetic Data: Limitations of ERM
ALT 2026
Learning from Synthetic Data via Provenance-Based Input Gradient Guidance
CVPR 2026
Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting
AAAI 2026
Learning from Unknown for Open-Set Test-Time Adaptation
WACV 2026
Learning general conditional independence structures via the neighbourhood lattice
JMLR 2026
Learning Group Actions In Disentangled Latent Image Representations
WACV 2026
Learning Heuristic Functions for HTN Planning
AAAI 2026
Learning Heuristic Functions with Graph Neural Networks for Numeric Planning
AAAI 2026
Learning Intrinsic Hierarchy for Generalized Category Discovery
AAAI 2026
Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions
AAAI 2026
Learning Ising Models from Evolutions (Extended Abstract)
COLT 2026
Learning Label Distribution with Dirichlet Process Mixture Model
AAAI 2026
Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics
UAI 2026
Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma
AAAI 2026
Learning Lineage-guided Geodesics with Finsler Geometry
UAI 2026
Learning Max-Stable Representations that Extrapolate
UAI 2026