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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)

Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Active Preference Learning with Discrete Choice Data NeurIPS 2007 Adaptive Online Gradient Descent NeurIPS 2007 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007 A general agnostic active learning algorithm NeurIPS 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A learning framework for nearest neighbor search NeurIPS 2007 An Analysis of Inference with the Universum NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 An online Hebbian learning rule that performs Independent Component Analysis NeurIPS 2007 Anytime Induction of Cost-sensitive Trees NeurIPS 2007 A probabilistic model for generating realistic lip movements from speech NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Behavioral Shaping for Geometric Concepts JMLR 2007 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007