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 More from Less: Resource-Constrained Generative AI for Classification, Generation, and Personalization
AAAI 2026
Learning Nested Named Entity Recognition from Flat Annotations
EACL 2026
Learning Network Dismantling Without Handcrafted Inputs
AAAI 2026
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
AAAI 2026
Learning Nonholonomic Dynamics with Constraint Discovery
L4DC 2026
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
AAAI 2026
Learning Periodic Strategies in Blocking Bandits Is as Hard as Bandits with Switching Costs
COLT 2026
Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition
AAAI 2026
Learning plug-in surrogate endpoints for randomized experiments
UAI 2026
Learning Protein–Ligand Binding in Hyperbolic Space
AAAI 2026
Learning Representations from Perturbation: A Novel Matrix-View Weighting Framework for Naive Bayes
UAI 2026
Learning Spatial Decay for Vision Transformers
AAAI 2026
Learning Spatio-temporal Feature Representations for Video-based Gaze Estimation
WACV 2026
Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models
UAI 2026
Learning Structurally Stabilized Representations for Lossless DNA Storage
AAAI 2026
Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning
MIDL 2026
Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics
AAAI 2026
Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer
AAAI 2026
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
AAAI 2026
Learning Through Concepts: Hierarchies, Logic and Reasoning
AAAI 2026
Learning Time in Static Classifiers
AAAI 2026
Learning to accelerate distributed ADMM using graph neural networks
L4DC 2026
Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning
L4DC 2026
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis
AAAI 2026
Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation
AAAI 2026