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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)

SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation CVPR 2018 Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching CVPR 2018 Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System NAACL 2018 Selecting Representative Examples for Program Synthesis ICML 2018 Self-Adaptive Double Bootstrapped DDPG IJCAI 2018 Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings ICML 2018 Self-ensembling for visual domain adaptation ICLR 2018 Self-Erasing Network for Integral Object Attention NeurIPS 2018 Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection ACL 2018 Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval CVPR 2018 Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection IJCAI 2018 Self-Supervised Feature Learning by Learning to Spot Artifacts CVPR 2018 Self-Supervised Generation of Spatial Audio for 360° Video NeurIPS 2018 Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection CVPR 2018 Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz CVPR 2018 Self-Training for Jointly Learning to Ask and Answer Questions NAACL 2018 Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction EMNLP 2018 Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification IJCAI 2018 Semantically Equivalent Adversarial Rules for Debugging NLP models ACL 2018 Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data EMNLP 2018 Semantic Structural Evaluation for Text Simplification NAACL 2018 Semantic Video Segmentation by Gated Recurrent Flow Propagation CVPR 2018 Semantic Visual Localization CVPR 2018 SemEval 2018 Task 2: Multilingual Emoji Prediction SemEval 2018 SemEval-2018 Task 5: Counting Events and Participants in the Long Tail SemEval 2018