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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)

Weakly Supervised Learning for Attribute Localization in Outdoor Scenes CVPR 2013 Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria ICCV 2013 Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 What's in a Name? First Names as Facial Attributes CVPR 2013 Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions ICCV 2013 YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition ICCV 2013 Zero-Shot Learning Through Cross-Modal Transfer NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Bayesian Approach for Policy Learning from Trajectory Preference Queries NeurIPS 2012 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 A Composite Likelihood View for Multi-Label Classification AISTATS 2012 A Conditional Multinomial Mixture Model for Superset Label Learning NeurIPS 2012 A Correlation Clustering Approach to Link Classification in Signed Networks COLT 2012 Active Clustering of Biological Sequences JMLR 2012 Active Comparison of Prediction Models NeurIPS 2012 Active Learning from Multiple Knowledge Sources AISTATS 2012 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Active Learning of Multi-Index Function Models NeurIPS 2012 Active Learning Using Smooth Relative Regret Approximations with Applications COLT 2012 Active Learning via Perfect Selective Classification JMLR 2012 Active Learning with Hinted Support Vector Machine ACML 2012 Activized Learning: Transforming Passive to Active with Improved Label Complexity JMLR 2012 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012 A Generative Model for Parts-based Object Segmentation NeurIPS 2012