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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'20
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Papers (including subtopics)
Bandit Learning for Online Scheduling with Immediate Decision
UAI 2026
Bandwidth Selection in Kernel Density Estimation for Model Calibration
UAI 2026
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
CVPR 2026
BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal Correlation
AAAI 2026
Bayesian Experimental Design via Score Matching
UAI 2026
Bayesian Symbolic Regression with Entropic Reinforcement Learning
UAI 2026
B&B at SemEval-2026 Task 6: A RoBERTa-based Model with NLI-derived Semantic Features for Clarity-Level Classification of Political Question Evasion
SemEval 2026
BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition
AAAI 2026
BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion
AAAI 2026
BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning
CVPR 2026
BeautyGRPO: Aesthetic Alignment for Face Retouching via Dynamic Path Guidance and Fine-Grained Preference Modeling
CVPR 2026
Becoming Experienced Judges: Selective Test-Time Learning for Evaluators
EACL 2026
BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
ACL 2026
BERT, are you paying attention? Attention regularization with human-annotated rationales
EACL 2026
Best Arm Identification with Biased Contexts
AAAI 2026
Best Arm Identification with Minimal Regret
JMLR 2026
Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition
EACL 2026
Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection
AAAI 2026
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
AAAI 2026
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
AAAI 2026
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift
ALT 2026
Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization
AAAI 2026
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment
AAAI 2026
Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting
AAAI 2026
Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection
AAAI 2026