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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Papers (including subtopics)
Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression
COLT 2026
Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning
AAAI 2026
Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar
WACV 2026
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
AAAI 2026
Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning
AAAI 2026
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
AAAI 2026
Self-Supervised Inductive Logic Programming
AAAI 2026
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
AAAI 2026
Self-supervised Multiplex Consensus Mamba for General Image Fusion
AAAI 2026
Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
AAAI 2026
Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
AAAI 2026
Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection
WACV 2026
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint)
AAAI 2026
Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration
AAAI 2026
Semantic-Aware Feature Enhancement for Partial Label Learning
AAAI 2026
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
AAAI 2026
Semantic Feature Purification for Adversarially-Aware RGB-T Tracking
AAAI 2026
Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models
AAAI 2026
Semantic Stars at MWE-2026 PARSEME 2.0 Subtask 2: Alternative Approaches for MWE Paraphrasing
EACL 2026
Semantic Vectors at SemEval-2026 Task 9: Robust Multilingual Polarization Detection via Dual-Encoder Fusion and Expert Ensembling
SemEval 2026
SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition
AAAI 2026
SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection
SemEval 2026
SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
SemEval 2026
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score
CVPR 2026
Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error
WACV 2026