Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'10
'15
'20
'25
Papers (including subtopics)
ExPerT: Personalizing LLM Responses to Users’ Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues
ACL 2026
Explainable Depression Assessment from Face Videos by Weakly Supervised Learning
AAAI 2026
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation
AAAI 2026
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
AAAI 2026
Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation
AAAI 2026
Exploiting Concavity Information in Contextual Bandit Optimization
UAI 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 Synergistic Cognitive Biases to Bypass Safety in LLMs
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 Conditions for Diffusion Models in Robotic Control
CVPR 2026
Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection
AAAI 2026
Exploring Entropy-based Active Learning for Fair Brain Segmentation
MIDL 2026
Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking
AAAI 2026
Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling
JMLR 2026
Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking
AAAI 2026
Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
AAAI 2026
Extending ASR Evaluation Resources for Modern Greek Dialects
EACL 2026
Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification
JMLR 2026
Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
AAAI 2026
FACTrial: Factorized Clinical Contrastive Training for Scalable Patient-Trial Retrieval
ACL 2026
Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems
AAAI 2026
FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning
EACL 2026
Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables
UAI 2026