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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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2000
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Papers (including subtopics)

Self-Progressing Robust Training AAAI 2021 Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021 SelfReg: Self-Supervised Contrastive Regularization for Domain Generalization ICCV 2021 Self-Regulation for Semantic Segmentation ICCV 2021 Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping MIDL 2021 SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network CVPR 2021 Self-Supervised 3D Face Reconstruction via Conditional Estimation ICCV 2021 Self-Supervised 3D Hand Pose Estimation From Monocular RGB via Contrastive Learning ICCV 2021 Self-Supervised 3D Mesh Reconstruction From Single Images CVPR 2021 Self-Supervised 3D Skeleton Action Representation Learning With Motion Consistency and Continuity ICCV 2021 Self-Supervised 4D Spatio-Temporal Feature Learning via Order Prediction of Sequential Point Cloud Clips WACV 2021 Self-Supervised Adversarial Distribution Regularization for Medication Recommendation IJCAI 2021 Self-supervised Adversarial Robustness for the Low-label, High-data Regime ICLR 2021 Self-Supervised and Controlled Multi-Document Opinion Summarization EACL 2021 Self-supervised and Supervised Joint Training for Resource-rich Machine Translation ICML 2021 Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021 Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation CVPR 2021 Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation AAAI 2021 Self-Supervised Bug Detection and Repair NeurIPS 2021 Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On CVPR 2021 Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering EMNLP 2021 Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents NAACL 2021 Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity Constraint ICCV 2021 Self-Supervised Curriculum Learning for Spelling Error Correction EMNLP 2021 Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case EMNLP 2021