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
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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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Papers (including subtopics)
Wasserstein-Aligned Hyperbolic Multi-View Clustering
AAAI 2026
Weakly-supervised Argument Mining with Boundary Refinement and Relation Denoising
EACL 2026
Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework
AAAI 2026
Weakly Supervised Named Entity Recognition for Historical Texts
EACL 2026
Wearable Intelligence for Healthcare Robotics: From Brain Activity to Body Movements
AAAI 2026
Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
UAI 2026
What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment
ACL 2026
What Happens When: Learning Temporal Orders of Events in Videos
WACV 2026
What's Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution
CVPR 2026
What to Trust? A Trust-aware Knowledge-guided Method for Zero-shot Object State Understanding in Videos
AAAI 2026
What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning
AAAI 2026
When and How Often is Weighted Majority Vote Optimal Under Log Loss?
UAI 2026
When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval
ACL 2026
When Does Model Multiplicity Affect Prediction Intervals? A Sharp Phase Transition
UAI 2026
When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
L4DC 2026
When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion?
AAAI 2026
When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score
ACL 2026
When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents
ACL 2026
When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework
AAAI 2026
Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?
EACL 2026
Whole-Body Coordination for Dynamic Object Grasping with Legged Manipulators
AAAI 2026
Who You Are, What You Say: Intra- and Inter- Context Personality for Emotion Recognition in Conversation
EACL 2026
WildReward: Learning Reward Models from In-the-Wild Human Interactions
ACL 2026
Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration
UAI 2026
Worst-case Error Bounds for Online Learning of Smooth Functions
COLT 2026