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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)

Video Event Detection by Inferring Temporal Instance Labels CVPR 2014 Wasserstein Propagation for Semi-Supervised Learning ICML 2014 Weakly-supervised Discovery of Visual Pattern Configurations NeurIPS 2014 Weakly Supervised Multiclass Video Segmentation CVPR 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 What Regularized Auto-Encoders Learn from the Data-Generating Distribution JMLR 2014 Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts CVPR 2014 Zero-shot recognition with unreliable attributes NeurIPS 2014 3D Sub-query Expansion for Improving Sketch-Based Multi-view Image Retrieval ICCV 2013 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 A Competitive Test for Uniformity of Monotone Distributions AISTATS 2013 A Convex Optimization Framework for Active Learning ICCV 2013 Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths NeurIPS 2013 Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization NeurIPS 2013 Action Recognition with Actons ICCV 2013 Active and passive learning of linear separators under log-concave distributions COLT 2013 Active Bayesian Perception for Simultaneous Object Localization and Identification RSS 2013 Active Learning for Interactive Visualization AISTATS 2013 Active Learning for Multi-Objective Optimization ICML 2013 Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NeurIPS 2013 Active Learning of an Action Detector from Untrimmed Videos ICCV 2013 Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking ACML 2013 Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013 Activized Learning with Uniform Classification Noise ICML 2013 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013