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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)

Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 A Practical Transfer Learning Algorithm for Face Verification ICCV 2013 A simple sketching algorithm for entropy estimation over streaming data AISTATS 2013 A Stability-based Validation Procedure for Differentially Private Machine Learning NeurIPS 2013 Attribute Adaptation for Personalized Image Search ICCV 2013 Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop CVPR 2013 Attribute Dominance: What Pops Out? ICCV 2013 Attribute Pivots for Guiding Relevance Feedback in Image Search ICCV 2013 Auditing: Active Learning with Outcome-Dependent Query Costs NeurIPS 2013 A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects ICCV 2013 A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013 Bayesian Games for Adversarial Regression Problems ICML 2013 Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation ICCV 2013 Bayesian optimization explains human active search NeurIPS 2013 Beating Bandits in Gradually Evolving Worlds COLT 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Bounded regret in stochastic multi-armed bandits COLT 2013 Breaking the Small Cluster Barrier of Graph Clustering ICML 2013 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 Buy-in-Bulk Active Learning NeurIPS 2013 Cascaded Shape Space Pruning for Robust Facial Landmark Detection ICCV 2013