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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)

Exploiting easy data in online optimization NeurIPS 2014 Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities NeurIPS 2014 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014 Extreme bandits NeurIPS 2014 Face Alignment at 3000 FPS via Regressing Local Binary Features CVPR 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fairness in Multi-Agent Sequential Decision-Making NeurIPS 2014 Fast and Robust Archetypal Analysis for Representation Learning CVPR 2014 Fast and Robust Least Squares Estimation in Corrupted Linear Models NeurIPS 2014 Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians COLT 2014 Fast Kernel Learning for Multidimensional Pattern Extrapolation NeurIPS 2014 Feature Cross-Substitution in Adversarial Classification NeurIPS 2014 Feedback Detection for Live Predictors NeurIPS 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Finding a most biased coin with fewest flips COLT 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Flexible Transfer Learning under Support and Model Shift NeurIPS 2014 Follow the Leader If You Can, Hedge If You Must JMLR 2014 Follow the Leader with Dropout Perturbations COLT 2014 From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 Gaussian Process Volatility Model NeurIPS 2014 Generalized Unsupervised Manifold Alignment NeurIPS 2014 General Stochastic Networks for Classification NeurIPS 2014