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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)

How Do We Use Our Hands? Discovering a Diverse Set of Common Grasps CVPR 2015 Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification CVPR 2015 Illumination Robust Color Naming via Label Propagation ICCV 2015 Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015 Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability NeurIPS 2015 Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering ACML 2015 Interactive Control of Diverse Complex Characters with Neural Networks NeurIPS 2015 Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction ICCV 2015 Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database CVPR 2015 Introducing Geometry in Active Learning for Image Segmentation ICCV 2015 Is Approval Voting Optimal Given Approval Votes? NeurIPS 2015 Is Feature Selection Secure against Training Data Poisoning? ICML 2015 Is Object Localization for Free? - Weakly-Supervised Learning With Convolutional Neural Networks CVPR 2015 Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints JMLR 2015 Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition ICCV 2015 Joint Multi-Feature Spatial Context for Scene Recognition on the Semantic Manifold CVPR 2015 Joint Patch and Multi-Label Learning for Facial Action Unit Detection CVPR 2015 Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction CVPR 2015 Label optimal regret bounds for online local learning COLT 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Large-Scale Damage Detection Using Satellite Imagery CVPR 2015 Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015 Large-scale probabilistic predictors with and without guarantees of validity NeurIPS 2015 Largest Source Subset Selection for Instance Transfer ACML 2015 Latent feature regression for multivariate count data AISTATS 2015