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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)

Feature Selection using Multiple Streams AISTATS 2010 Feature Set Embedding for Incomplete Data NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Guarantees for Approximate Incremental SVMs AISTATS 2010 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NeurIPS 2010 Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NeurIPS 2010 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch NeurIPS 2010 Implicit Differentiation by Perturbation NeurIPS 2010 Impossibility Theorems for Domain Adaptation AISTATS 2010 Improvements to the Sequence Memoizer NeurIPS 2010 Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010 Incremental Sparsification for Real-time Online Model Learning AISTATS 2010 Inducing Tree-Substitution Grammars JMLR 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Label Embedding Trees for Large Multi-Class Tasks NeurIPS 2010