Meta-learning Publications

Publications in Meta-learning

Explore the most influential research papers and scholarly works that have shaped Meta-learning. Use the concept filter below to focus on a specific sub-area of research.

Meta-learning

972

Publications

67.5K

Citations

Showing yearly statistics from 2000-2026.

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	Year	Citations
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn, Pieter Abbeel, Sergey Levine arXiv (Cornell University) Artificial IntelligenceFew-shot LearningFast AdaptationMachine VisionMachine Learning	2017	5.8K
Optimization as a Model for Few-Shot Learning Sachin Ravi, Hugo Larochelle International Conference on Learning Representations Artificial IntelligenceFew-shot LearningLearner Neural NetworkDeep Neural NetworksGeneral Initialization	2017	2.4K
Meta-Transfer Learning for Few-Shot Learning Qianru Sun, Yaoyao Liu, Tat‐Seng Chua, Artificial IntelligenceFew-shot LearningMeta-learning (Computer Science)EngineeringMachine Learning	2019	1.3K
Meta-learning with memory-augmented neural networks Adam Santoro, Sergey Bartunov, Matthew Botvinick, International Conference on Machine Learning Artificial IntelligenceEngineeringMachine LearningMeta-learningSequential Learning	2016	1.3K
Learning to Generalize: Meta-Learning for Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Proceedings of the AAAI Conference on Artificial Intelligence Natural Language ProcessingFew-shot LearningArtificial IntelligenceTarget DomainEngineering	2018	1.2K
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li, Fengwei Zhou, Fei Chen, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningMeta-learning (Computer Science)EngineeringMachine Learning	2017	839
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn, Pieter Abbeel, Sergey Levine arXiv (Cornell University) Artificial IntelligenceFew-shot LearningFast AdaptationMachine VisionMachine Learning	2017	797
A Simple Neural Attentive Meta-Learner Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, arXiv (Cornell University) Few-shot LearningCognitive ScienceDeep Neural NetworksMachine LearningData Science	2017	758
Low-Shot Learning from Imaginary Data Yu-Xiong Wang, Ross Girshick, Martial Hebert, Artificial IntelligenceFew-shot LearningEngineeringMachine LearningMeta-learning	2018	755
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren, Eleni Triantafillou, Sachin Ravi, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningMultiple Instance LearningEngineeringMachine Learning	2018	726
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning Xiaopeng Yan, Ziliang Chen, Anni Xu, Few-shot LearningConvolutional Neural NetworkEngineeringMachine LearningMeta-learning	2019	584
Learning to Reweight Examples for Robust Deep Learning Mengye Ren, Wenyuan Zeng, Bin Yang, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningDeep Neural NetworksMachine VisionMachine Learning	2018	579

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