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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NeurIPS 2015 Partial Person Re-Identification ICCV 2015 Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising ICCV 2015 PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data ICML 2015 Pedestrian Detection Aided by Deep Learning Semantic Tasks CVPR 2015 PIEFA: Personalized Incremental and Ensemble Face Alignment ICCV 2015 Policy Evaluation Using the Ω-Return NeurIPS 2015 Policy Gradient for Coherent Risk Measures NeurIPS 2015 Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015 Precision-Recall-Gain Curves: PR Analysis Done Right NeurIPS 2015 Predicting a Switching Sequence of Graph Labelings JMLR 2015 Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions ICCV 2015 Prediction of Search Targets From Fixations in Open-World Settings CVPR 2015 Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 PU Learning for Matrix Completion ICML 2015 Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015 Rademacher Observations, Private Data, and Boosting ICML 2015 Rate-Agnostic (Causal) Structure Learning NeurIPS 2015 Recognizing retinal ganglion cells in the dark NeurIPS 2015 Rectified Factor Networks NeurIPS 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Regret-Based Pruning in Extensive-Form Games NeurIPS 2015