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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
20
220
477
4,652
9,258
2000
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'25

Papers (including subtopics)

Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data JMLR 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels JMLR 2011 Variance Penalizing AdaBoost NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Video Annotation and Tracking with Active Learning NeurIPS 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010 Active Estimation of F-Measures NeurIPS 2010 Active Instance Sampling via Matrix Partition NeurIPS 2010 Active Learning Applied to Patient-Adaptive Heartbeat Classification NeurIPS 2010 Active Learning by Querying Informative and Representative Examples NeurIPS 2010 Active Sequential Learning with Tactile Feedback AISTATS 2010 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 Agnostic Active Learning Without Constraints NeurIPS 2010 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 A Regularization Approach to Nonlinear Variable Selection AISTATS 2010 A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010