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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'15
'20
'25
Papers (including subtopics)
Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons
UAI 2026
Finding Time Series Anomalies Using Granular-Ball Vector Data Description
AAAI 2026
FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation
AAAI 2026
Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection
AAAI 2026
FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations
AAAI 2026
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
CVPR 2026
First Learn, Then Review: Human-Like Continual Learning for Cross-View Geo-Localization with Limited Field of View
AAAI 2026
Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis
UAI 2026
Flickering Multi-Armed Bandits
L4DC 2026
FlowCLAS: Enhancing Normalizing Flow-Based Anomaly Segmentation Via Contrastive Learning
WACV 2026
FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation
WACV 2026
FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models
CVPR 2026
FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators
WACV 2026
Forget Less by Learning from Parents Through Hierarchical Relationships
AAAI 2026
Forget Less by Learning Together through Concept Consolidation
WACV 2026
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
AAAI 2026
Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models
AAAI 2026
Formalizing Task-Space Complexity for Zero-Shot Generalization
L4DC 2026
Foundation-Adaptive Integrated Refinement for Generalized Category Discovery
AAAI 2026
Foundation Encoders Are All You Need for Preference-Aware Personalization
CVPR 2026
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret
L4DC 2026
Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems
AAAI 2026
Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation
AAAI 2026
FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence
AAAI 2026
Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training
WACV 2026