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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)

Clustering-Based Article Identification in Historical Newspapers NAACL 2019 CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text EMNLP 2019 C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection ICCV 2019 C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection CVPR 2019 CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology ACL 2019 CNN^{2}: Viewpoint Generalization via a Binocular Vision NeurIPS 2019 COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data AAAI 2019 Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019 CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering SemEval 2019 Code Generation as a Dual Task of Code Summarization NeurIPS 2019 Code-Switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation Interspeech 2019 CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums EMNLP 2019 Cognate Projection for Low-Resource Inflection Generation ACL 2019 Cognitive model priors for predicting human decisions ICML 2019 Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019 Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification CoNLL 2019 Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model ACL 2019 Cold Case: The Lost MNIST Digits NeurIPS 2019 Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis IJCAI 2019 Collaboration Based Multi-Label Learning AAAI 2019 Collaborative, Dynamic and Diversified User Profiling AAAI 2019 Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images CVPR 2019 CollaGAN: Collaborative GAN for Missing Image Data Imputation CVPR 2019 Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019 Collocation Classification with Unsupervised Relation Vectors ACL 2019