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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)

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms ICML 2013 GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity ICCV 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Graph Transduction Learning with Connectivity Constraints with Application to Multiple Foreground Cosegmentation CVPR 2013 GRASP Recurring Patterns from a Single View CVPR 2013 Group Norm for Learning Structured SVMs with Unstructured Latent Variables ICCV 2013 Guided Monte Carlo Tree Search for Planning in Learned Environments ACML 2013 Handling Uncertain Tags in Visual Recognition ICCV 2013 Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model ICCV 2013 Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition ICCV 2013 Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data ICML 2013 Hierarchical Regularization Cascade for Joint Learning ICML 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013 How Related Exemplars Help Complex Event Detection in Web Videos? ICCV 2013 How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NeurIPS 2013 Human Boosting ICML 2013 Human Pose Estimation Using Body Parts Dependent Joint Regressors CVPR 2013 Image Co-segmentation via Consistent Functional Maps ICCV 2013 Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions CVPR 2013 Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NeurIPS 2013 Incremental Semantically Grounded Learning from Demonstration RSS 2013 Inductive Hashing on Manifolds CVPR 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013