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)
Theoretical bounds on estimation error for meta-learning
ICLR 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
EMNLP 2021
The Recurrent Neural Tangent Kernel
ICLR 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them
NeurIPS 2021
The Sample Complexity of Meta Sparse Regression
AISTATS 2021
The Task Specification Problem
CoRL 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
NeurIPS 2021
THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation
SemEval 2021
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
NeurIPS 2021
Time-variant variational transfer for value functions
UAI 2021
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
NeurIPS 2021
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
NeurIPS 2021
To Block or not to Block: Experiments with Machine Learning for News Comment Moderation
EACL 2021
TODS: An Automated Time Series Outlier Detection System
AAAI 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
NeurIPS 2021
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings
ACL 2021
Toward Optimal Solution for the Context-Attentive Bandit Problem
IJCAI 2021
Toward Robust Long Range Policy Transfer
AAAI 2021
Towards Contextual Learning in Few-Shot Object Classification
WACV 2021
Towards Enabling Learnware to Handle Unseen Jobs
AAAI 2021
Towards Enabling Meta-Learning from Target Models
NeurIPS 2021
Towards Few-shot Fact-Checking via Perplexity
NAACL 2021
Towards Flexible Device Participation in Federated Learning
AISTATS 2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation
ICCV 2021
Towards Offensive Language Identification for Dravidian Languages
EACL 2021