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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

1
20
220
477
4,652
9,258
2000
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'20
'25

Papers (including subtopics)

Learning to Actively Reduce Memory Requirements for Robot Control Tasks L4DC 2021 Learning To Adversarially Blur Visual Object Tracking ICCV 2021 Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection CVPR 2021 Learning to Answer Psychological Questionnaire for Personality Detection EMNLP 2021 Learning to Ask Conversational Questions by Optimizing Levenshtein Distance ACL 2021 Learning to Assimilate in Chaotic Dynamical Systems NeurIPS 2021 Learning To Associate Every Segment for Video Panoptic Segmentation CVPR 2021 Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021 Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos ICCV 2021 Learning To Count Everything CVPR 2021 Learning To Cut by Watching Movies ICCV 2021 Learning to Defend by Learning to Attack AISTATS 2021 Learning To Discover Reflection Symmetry via Polar Matching Convolution ICCV 2021 Learning To Diversify for Single Domain Generalization ICCV 2021 Learning to Draw: Emergent Communication through Sketching NeurIPS 2021 Learning To Drive From a World on Rails ICCV 2021 Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021 Learning to Generate Noise for Multi-Attack Robustness ICML 2021 Learning To Generate Scene Graph From Natural Language Supervision ICCV 2021 Learning to Generate Visual Questions with Noisy Supervision NeurIPS 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021 Learning to Learn Dense Gaussian Processes for Few-Shot Learning NeurIPS 2021 Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks EMNLP 2021 Learning to Make Decisions via Submodular Regularization ICLR 2021