Learning Paradigms
14,967 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Transfer Learning (8,172)
Few-Shot Learning (2,681)
Meta-Learning (1,719)
Federated Learning (1,560)
Zero-Shot Learning (878)
Continual Learning (189)
Domain Adaptation (184)
Self-Supervised Learning (158)
Active Learning (154)
Multi-Task Learning (145)
Semi-Supervised Learning (86)
In-Context Learning (53)
Unsupervised Learning (53)
Domain Generalization (26)
Weakly Supervised Learning (23)
Papers per year
3
2
4
12
24
14
20
29
31
32
66
53
67
103
206
482
852
1,124
1,566
1,867
2,410
2,658
2,486
856
'5
'10
'15
'20
'25
Papers (including subtopics)
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
NeurIPS 2021
Learning Task-Distribution Reward Shaping with Meta-Learning
AAAI 2021
Learning Task Sampling Policy for Multitask Learning
EMNLP 2021
Learning Temporal Dynamics From Cycles in Narrated Video
ICCV 2021
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
NeurIPS 2021
Learning To Count Everything
CVPR 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 Task-Specific Adapters from Task Description
ACL 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
NeurIPS 2021
Learning to Learn Graph Topologies
NeurIPS 2021
Learning-to-learn non-convex piecewise-Lipschitz functions
NeurIPS 2021
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
IJCAI 2021
Learning to Learn Semantic Factors in Heterogeneous Image Classification
NAACL 2021
Learning to learn with Gaussian processes
UAI 2021
Learning to Recognize Dialect Features
NAACL 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
EMNLP 2021
Learning to Synthesize Data for Semantic Parsing
NAACL 2021
Learning Transferable Visual Models From Natural Language Supervision
ICML 2021
Learning Unsupervised Metaformer for Anomaly Detection
ICCV 2021
Learning Visually Guided Latent Actions for Assistive Teleoperation
L4DC 2021
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes
JMLR 2021
Learning where to learn: Gradient sparsity in meta and continual learning
NeurIPS 2021
Learning with Instance Bundles for Reading Comprehension
EMNLP 2021
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
CoNLL 2021