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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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'15
'20
'25

Papers (including subtopics)

Self-supervised Monocular Road Detection in Desert Terrain RSS 2006 Single Channel Speech Separation Using Factorial Dynamics NeurIPS 2006 Sliding Autonomy for Complex Coordinated Multi-Robot Tasks: Analysis & Experiments RSS 2006 Some Discriminant-Based PAC Algorithms JMLR 2006 Sparse Boosting JMLR 2006 Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NeurIPS 2006 Sparse Representation for Signal Classification NeurIPS 2006 Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006 Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006 Streamwise Feature Selection JMLR 2006 Temporal dynamics of information content carried by neurons in the primary visual cortex NeurIPS 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Training Conditional Random Fields for Maximum Labelwise Accuracy NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing NeurIPS 2006 Unsupervised Regression with Applications to Nonlinear System Identification NeurIPS 2006 Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006 A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005 Active Coevolutionary Learning of Deterministic Finite Automata JMLR 2005 Active Learning For Outdoor Obstacle Detection RSS 2005 Active Learning to Recognize Multiple Types of Plankton JMLR 2005 A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005 Analysis of Variance of Cross-Validation Estimators of the Generalization Error JMLR 2005 Denoising Source Separation JMLR 2005