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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)

Non-Uniform Subset Selection for Active Learning in Structured Data CVPR 2017 Nora the Empathetic Psychologist Interspeech 2017 NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture SemEval 2017 NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields SemEval 2017 NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and Phrases IJCNLP 2017 Object Co-Skeletonization With Co-Segmentation CVPR 2017 Object Detection Meets Knowledge Graphs IJCAI 2017 Object Region Mining With Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach CVPR 2017 Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing IJCAI 2017 Obtaining referential word meanings from visual and distributional information: Experiments on object naming ACL 2017 Off-policy evaluation for slate recommendation NeurIPS 2017 On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017 On Context-Dependent Clustering of Bandits ICML 2017 One-Shot Metric Learning for Person Re-Identification CVPR 2017 One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ACL 2017 One-Shot Visual Imitation Learning via Meta-Learning CoRL 2017 On Gleaning Knowledge from Multiple Domains for Active Learning IJCAI 2017 On Human Motion Prediction Using Recurrent Neural Networks CVPR 2017 Online Automatic Post-editing for MT in a Multi-Domain Translation Environment EACL 2017 Online Bayesian Passive-Aggressive Learning JMLR 2017 Online control of the false discovery rate with decaying memory NeurIPS 2017 Online Convex Optimization with Stochastic Constraints NeurIPS 2017 On-line Dialogue Policy Learning with Companion Teaching EACL 2017 Online Graph Completion: Multivariate Signal Recovery in Computer Vision CVPR 2017 Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm EACL 2017