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)
A simple but effective model for attachment in discourse parsing with multi-task learning for relation labeling
EACL 2023
A Simple Framework for Open-Vocabulary Segmentation and Detection
ICCV 2023
A Simple Recipe to Meta-Learn Forward and Backward Transfer
ICCV 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
NeurIPS 2023
A Simplified Training Pipeline for Low-Resource and Unsupervised Machine Translation
EACL 2023
Ask Me Anything: A simple strategy for prompting language models
ICLR 2023
A smashed glass cannot be full: Generation of Commonsense Explanations through Prompt-based Few-shot Learning
ACL 2023
Assessing Learned Representations under Open-World Novelty
AAAI 2023
Assessing Out-of-Domain Language Model Performance from Few Examples
EACL 2023
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism
EMNLP 2023
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
ICLR 2023
A Survey of Federated Evaluation in Federated Learning
IJCAI 2023
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
EACL 2023
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
ICLR 2023
ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs
EMNLP 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
NeurIPS 2023
Atlas: Few-shot Learning with Retrieval Augmented Language Models
JMLR 2023
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation
ACL 2023
Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS)
SemEval 2023
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking
ACL 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
CVPR 2023
AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
NeurIPS 2023
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models
JMLR 2023
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
ICCV 2023
Augmenting Flight Training with AI to Efficiently Train Pilots
AAAI 2023