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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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'25

Papers (including subtopics)

MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking CVPR 2015 Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection CVPR 2015 Multi-Task Learning for Subspace Segmentation ICML 2015 Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification ICCV 2015 Multi-View Domain Generalization for Visual Recognition ICCV 2015 Multi-View Feature Engineering and Learning CVPR 2015 Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015 Multi-View Subspace Clustering ICCV 2015 Near-Online Multi-Target Tracking With Aggregated Local Flow Descriptor ICCV 2015 Neural Activation Constellations: Unsupervised Part Model Discovery With Convolutional Networks ICCV 2015 Neural Adaptive Sequential Monte Carlo NeurIPS 2015 NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning NeurIPS 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015 No-Regret Learning in Bayesian Games NeurIPS 2015 Objects2action: Classifying and Localizing Actions Without Any Video Example ICCV 2015 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 On Anomaly Ranking and Excess-Mass Curves AISTATS 2015 On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015 On Deep Multi-View Representation Learning ICML 2015 One-Pass Multi-View Learning ACML 2015 One Shot Learning via Compositions of Meaningful Patches ICCV 2015 On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015 Online F-Measure Optimization NeurIPS 2015 Online Gradient Boosting NeurIPS 2015 On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015