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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)

Efficient Active Learning of Halfspaces: An Aggressive Approach JMLR 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 Efficient Large-Scale Structured Learning CVPR 2013 Efficient Multi-label Classification with Many Labels ICML 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Efficient Semi-supervised and Active Learning of Disjunctions ICML 2013 ELLA: An Efficient Lifelong Learning Algorithm ICML 2013 Eluder Dimension and the Sample Complexity of Optimistic Exploration NeurIPS 2013 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Enriching Texture Analysis with Semantic Data CVPR 2013 Ensemble Learning for Confidence Measures in Stereo Vision CVPR 2013 Ensemble Projection for Semi-supervised Image Classification ICCV 2013 EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013 Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NeurIPS 2013 Estimating LASSO Risk and Noise Level NeurIPS 2013 Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising NeurIPS 2013 Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013 Exact and Stable Recovery of Pairwise Interaction Tensors NeurIPS 2013 Excess risk bounds for multitask learning with trace norm regularization COLT 2013 Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013 Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits ACML 2013 Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013 Facial Action Unit Event Detection by Cascade of Tasks ICCV 2013 Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013 Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NeurIPS 2013