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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)

Dynamic Maps for Long-Term Operation of Mobile Service Robots RSS 2005 Efficient Margin Maximizing with Boosting JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005 Fast Kernel Classifiers with Online and Active Learning JMLR 2005 Generalization Bounds for the Area Under the ROC Curve JMLR 2005 Learning Module Networks JMLR 2005 Learning Multiple Tasks with Kernel Methods JMLR 2005 Learning the Kernel Function via Regularization JMLR 2005 Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application JMLR 2005 Managing Diversity in Regression Ensembles JMLR 2005 Separating a Real-Life Nonlinear Image Mixture JMLR 2005 Stability of Randomized Learning Algorithms JMLR 2005 Supervised and Unsupervised Learning for Sentence Compression ACL 2005 A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004 Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004 Feature Discovery in Non-Metric Pairwise Data JMLR 2004 Feature Selection for Unsupervised Learning JMLR 2004 Image Categorization by Learning and Reasoning with Regions JMLR 2004 Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004 Non-negative Matrix Factorization with Sparseness Constraints JMLR 2004 No Unbiased Estimator of the Variance of K-Fold Cross-Validation JMLR 2004 Online Choice of Active Learning Algorithms JMLR 2004 Preference Elicitation and Query Learning JMLR 2004 Randomized Variable Elimination JMLR 2004