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)
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
NeurIPS 2009
Semi-Supervised Learning in Gigantic Image Collections
NeurIPS 2009
Semi-supervised Learning using Sparse Eigenfunction Bases
NeurIPS 2009
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
NeurIPS 2009
Subject independent EEG-based BCI decoding
NeurIPS 2009
Sufficient Conditions for Agnostic Active Learnable
NeurIPS 2009
Transfer Learning for Reinforcement Learning Domains: A Survey
JMLR 2009
Zero-shot Learning with Semantic Output Codes
NeurIPS 2009
Clustered Multi-Task Learning: A Convex Formulation
NeurIPS 2008
Domain Adaptation with Multiple Sources
NeurIPS 2008
Human Active Learning
NeurIPS 2008
Learning from Multiple Sources
JMLR 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation
RSS 2008
Linear Classification and Selective Sampling Under Low Noise Conditions
NeurIPS 2008
Localized Sliced Inverse Regression
NeurIPS 2008
Multi-Level Active Prediction of Useful Image Annotations for Recognition
NeurIPS 2008
Phase transitions for high-dimensional joint support recovery
NeurIPS 2008
Structure Learning in Human Sequential Decision-Making
NeurIPS 2008
Transfer Learning by Distribution Matching for Targeted Advertising
NeurIPS 2008
Translated Learning: Transfer Learning across Different Feature Spaces
NeurIPS 2008
Universal Multi-Task Kernels
JMLR 2008
Unlabeled data: Now it helps, now it doesn't
NeurIPS 2008
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
NeurIPS 2007
Active Preference Learning with Discrete Choice Data
NeurIPS 2007
A general agnostic active learning algorithm
NeurIPS 2007