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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Fast Determinantal Point Process Sampling with Application to Clustering NeurIPS 2013 Fast Face Detector Training Using Tailored Views ICCV 2013 Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013 Fast Object Detection with Entropy-Driven Evaluation CVPR 2013 Feature Multi-Selection among Subjective Features ICML 2013 Finding Actors and Actions in Movies ICCV 2013 Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms ICCV 2013 Fine-Grained Crowdsourcing for Fine-Grained Recognition CVPR 2013 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NeurIPS 2013 From Bandits to Experts: A Tale of Domination and Independence NeurIPS 2013 From N to N+1: Multiclass Transfer Incremental Learning CVPR 2013 From Semi-supervised to Transfer Counting of Crowds ICCV 2013 From Subcategories to Visual Composites: A Multi-level Framework for Object Detection ICCV 2013 Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Generalized Denoising Auto-Encoders as Generative Models NeurIPS 2013 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013 Generalized Random Utility Models with Multiple Types NeurIPS 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013 Generic Exploration and K-armed Voting Bandits ICML 2013 GeoF: Geodesic Forests for Learning Coupled Predictors CVPR 2013 Geometric Context from Videos CVPR 2013