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)
Online Learning of Multiple Tasks and Their Relationships
AISTATS 2011
Online Submodular Set Cover, Ranking, and Repeated Active Learning
NeurIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison
NeurIPS 2011
Sparse Bayesian Multi-Task Learning
NeurIPS 2011
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
NeurIPS 2011
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
AISTATS 2011
Transfer from Multiple MDPs
NeurIPS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection
NeurIPS 2011
Video Annotation and Tracking with Active Learning
NeurIPS 2011
Active Estimation of F-Measures
NeurIPS 2010
Active Instance Sampling via Matrix Partition
NeurIPS 2010
Active Learning Applied to Patient-Adaptive Heartbeat Classification
NeurIPS 2010
A Dirty Model for Multi-task Learning
NeurIPS 2010
Agnostic Active Learning Without Constraints
NeurIPS 2010
Bayesian variable order Markov models
AISTATS 2010
Classification with Incomplete Data Using Dirichlet Process Priors
JMLR 2010
Co-regularization Based Semi-supervised Domain Adaptation
NeurIPS 2010
Evolving Static Representations for Task Transfer
JMLR 2010
Factorized Latent Spaces with Structured Sparsity
NeurIPS 2010
Humans Learn Using Manifolds, Reluctantly
NeurIPS 2010
Infinite Predictor Subspace Models for Multitask Learning
AISTATS 2010
Large Margin Multi-Task Metric Learning
NeurIPS 2010
Learning Multiple Tasks using Manifold Regularization
NeurIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
NeurIPS 2010
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
NeurIPS 2010