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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)

Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Online Learning: Stochastic, Constrained, and Smoothed Adversaries NeurIPS 2011 Online Submodular Set Cover, Ranking, and Repeated Active Learning NeurIPS 2011 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 On Strategy Stitching in Large Extensive Form Multiplayer Games NeurIPS 2011 On the Consistency of Multi-Label Learning COLT 2011 On the Universality of Online Mirror Descent NeurIPS 2011 Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness NeurIPS 2011 Oracle inequalities for computationally budgeted model selection COLT 2011 PAC-Bayesian Analysis of Contextual Bandits NeurIPS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Phase transition in the family of p-resistances NeurIPS 2011 Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011 Predicting Dynamic Difficulty NeurIPS 2011 Prediction strategies without loss NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 Regret Bounds for the Adaptive Control of Linear Quadratic Systems COLT 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011