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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)

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014 Modelling the Lexicon in Unsupervised Part of Speech Induction EACL 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Most Correlated Arms Identification COLT 2014 Multiarmed Bandits With Limited Expert Advice COLT 2014 Multi-Class Deep Boosting NeurIPS 2014 Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014 Multi-fold MIL Training for Weakly Supervised Object Localization CVPR 2014 Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014 Multilabel Ranking with Inconsistent Rankers CVPR 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Multimodal Learning in Loosely-organized Web Images CVPR 2014 Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data CVPR 2014 Multi-Resolution Cascades for Multiclass Object Detection NeurIPS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014 Near-Optimally Teaching the Crowd to Classify ICML 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 Non-convex Robust PCA NeurIPS 2014 Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks CVPR 2014