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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)

Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time ICCV 2013 Subcategory-Aware Object Classification CVPR 2013 Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation CVPR 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Supervised Sequential Classification Under Budget Constraints AISTATS 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Synergistic Clustering of Image and Segment Descriptors for Unsupervised Scene Understanding ICCV 2013 Synthesizing Robust Plans under Incomplete Domain Models NeurIPS 2013 Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation CVPR 2013 The CAM Software for Nonnegative Blind Source Separation in R-Java JMLR 2013 The Cross-Entropy Method Optimizes for Quantiles ICML 2013 The Multi-Task Learning View of Multimodal Data ACML 2013 The Pareto Regret Frontier NeurIPS 2013 The price of bandit information in multiclass online classification COLT 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013 Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013 Top-down particle filtering for Bayesian decision trees ICML 2013 Top-Down Regularization of Deep Belief Networks NeurIPS 2013 Top-k Selection based on Adaptive Sampling of Noisy Preferences ICML 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Tracking via Robust Multi-task Multi-view Joint Sparse Representation ICCV 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013