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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)

Mid-level Visual Element Discovery as Discriminative Mode Seeking NeurIPS 2013 MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013 Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction AISTATS 2013 Modeling Actions through State Changes CVPR 2013 Modeling Occlusion by Discriminative AND-OR Structures ICCV 2013 Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013 Model Recommendation with Virtual Probes for Egocentric Hand Detection ICCV 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 More data speeds up training time in learning halfspaces over sparse vectors NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Multi-armed Bandit Problem with Lock-up Periods ACML 2013 Multi-attribute Queries: To Merge or Not to Merge? CVPR 2013 Multilabel Classification through Random Graph Ensembles ACML 2013 Multi-Label Classification with Unlabeled Data: An Inductive Approach ACML 2013 Multilinear Dynamical Systems for Tensor Time Series NeurIPS 2013 Multilinear Multitask Learning ICML 2013 Multipath Sparse Coding Using Hierarchical Matching Pursuit CVPR 2013 Multiple Identifications in Multi-Armed Bandits ICML 2013 Multiple-source cross-validation ICML 2013 Multi-Stage Multi-Task Feature Learning JMLR 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NeurIPS 2013 Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013 Near-Optimal Entrywise Sampling for Data Matrices NeurIPS 2013