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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

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011 Efficient Learning with Partially Observed Attributes JMLR 2011 Efficient Online Learning via Randomized Rounding NeurIPS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NeurIPS 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011 Forest Density Estimation JMLR 2011 From Bandits to Experts: On the Value of Side-Observations NeurIPS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011 Greedy Model Averaging NeurIPS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Hashing Algorithms for Large-Scale Learning NeurIPS 2011 Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NeurIPS 2011 High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NeurIPS 2011 High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Image Parsing with Stochastic Scene Grammar NeurIPS 2011 Improved Algorithms for Linear Stochastic Bandits NeurIPS 2011 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011 In All Likelihood, Deep Belief Is Not Enough JMLR 2011