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
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'25
Papers (including subtopics)
Experimentation on Endogenous Graphs
AAAI 2026
Expert Advice with Costly Observations
UAI 2026
ExPerT: Personalizing LLM Responses to Users’ Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues
ACL 2026
Explainable Clustering of Mixture Models
UAI 2026
Explainable Depression Assessment from Face Videos by Weakly Supervised Learning
AAAI 2026
Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI
ACL 2026
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation
AAAI 2026
Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis
EACL 2026
Explaining Object Detectors via Collective Contribution of Pixels
CVPR 2026
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
AAAI 2026
Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation
AAAI 2026
Explicit Modeling of Causal Factors and Confounders for Image Classification
AAAI 2026
Exploiting Concavity Information in Contextual Bandit Optimization
UAI 2026
Exploiting Graph-Based Structural Priors for Visual Recognition
AAAI 2026
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
AAAI 2026
Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis
WACV 2026
Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks
AAAI 2026
Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis
AAAI 2026
Exploiting Space Folding by Neural Networks
AAAI 2026
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
AAAI 2026
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
AAAI 2026
Explore How to Inject Beneficial Noise in MLLMs
AAAI 2026
Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning
UAI 2026
Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data
WACV 2026
Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds
AAAI 2026