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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)

Reciprocal Learning Networks for Human Trajectory Prediction CVPR 2020 RecoBERT: A Catalog Language Model for Text-Based Recommendations EMNLP 2020 Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning Interspeech 2020 Recognizing Instagram Filtered Images with Feature De-Stylization AAAI 2020 Reconciliation of Multiple Corpora for Speech Emotion Recognition by Multiple Classifiers with an Adversarial Corpus Discriminator Interspeech 2020 Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning IJCAI 2020 Recovering Causal Structures from Low-Order Conditional Independencies AAAI 2020 Recovery of sparse linear classifiers from mixture of responses NeurIPS 2020 Recurrent babbling: evaluating the acquisition of grammar from limited input data CoNLL 2020 Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations EMNLP 2020 Recurrent Relational Memory Network for Unsupervised Image Captioning IJCAI 2020 Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking CVPR 2020 Recursive Social Behavior Graph for Trajectory Prediction CVPR 2020 Recursive Top-Down Production for Sentence Generation with Latent Trees EMNLP 2020 Recycling and Comparing Morphological Annotation Models for Armenian Diachronic-Variational Corpus Processing COLING 2020 Reducing Adversarially Robust Learning to Non-Robust PAC Learning NeurIPS 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Reducing Unintended Identity Bias in Russian Hate Speech Detection EMNLP 2020 Reed at SemEval-2020 Task 9: Fine-Tuning and Bag-of-Words Approaches to Code-Mixed Sentiment Analysis SemEval 2020 Reevaluating Adversarial Examples in Natural Language EMNLP 2020 Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals NeurIPS 2020 Reference in Team Communication for Robot-Assisted Disaster Response: An Initial Analysis COLING 2020 Reference Language based Unsupervised Neural Machine Translation EMNLP 2020 Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities COLING 2020 Refining HTN Methods via Task Insertion with Preferences AAAI 2020