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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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Papers (including subtopics)

Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters JMLR 2004 Second Order Cone Programming Formulations for Feature Selection JMLR 2004 Sources of Success for Boosted Wrapper Induction JMLR 2004 Subgroup Discovery with CN2-SD JMLR 2004 The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004 Weather Data Mining Using Independent Component Analysis JMLR 2004 A Family of Additive Online Algorithms for Category Ranking JMLR 2003 A Maximum Likelihood Approach to Single-channel Source Separation JMLR 2003 A Multiscale Framework For Blind Separation of Linearly Mixed Signals JMLR 2003 An Empirical Study of the Use of Relevance Information in Inductive Logic Programming JMLR 2003 An Extensive Empirical Study of Feature Selection Metrics for Text Classification JMLR 2003 Benefitting from the Variables that Variable Selection Discards JMLR 2003 Beyond Independent Components: Trees and Clusters JMLR 2003 Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation JMLR 2003 Blind Source Recovery: A Framework in the State Space JMLR 2003 Energy-Based Models for Sparse Overcomplete Representations JMLR 2003 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003 Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003 ICA Using Spacings Estimates of Entropy JMLR 2003 ILP: A Short Look Back and a Longer Look Forward JMLR 2003 Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results JMLR 2003 Learning Rates for Q-learning JMLR 2003 Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming JMLR 2003 MISEP -- Linear and Nonlinear ICA Based on Mutual Information JMLR 2003 Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003