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1909.09157
Cited By
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
19 September 2019
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
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Papers citing
"Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML"
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Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
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Rethinking Meta-Learning from a Learning Lens
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Chuxiong Sun
Hui Xiong
Jiangmeng Li
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13 Sep 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
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Spencer Folk
Camillo J Taylor
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25 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
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Wenqian Ye
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Fine-tuning with Very Large Dropout
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Jinze Zhao
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Interpretable Meta-Learning of Physical Systems
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Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
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Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
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Agnieszka Strzalka
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16 Aug 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
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Chuyao Luo
Demin Yu
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LPN: Language-guided Prototypical Network for few-shot classification
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Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
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FewSAR: A Few-shot SAR Image Classification Benchmark
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VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
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Jungwook Shin
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Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI
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Vignesh Santhalingam
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14 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Ivona Najdenkoska
Xiantong Zhen
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A Survey of Meta-Reinforcement Learning
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Risto Vuorio
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L. Zintgraf
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Concept Discovery for Fast Adapatation
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Hanghang Tong
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Robust Meta-Representation Learning via Global Label Inference and Classification
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Daniel Rho
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Seungtae Nam
J. Lee
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18 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch
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Jascha Narain Sohl-Dickstein
Luke Metz
40
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Meta-Learning Fast Weight Language Models
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Kelvin Guu
Ming-Wei Chang
Panupong Pasupat
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Adaptive Prototypical Networks
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Meta-Learning of Neural State-Space Models Using Data From Similar Systems
Ankush Chakrabarty
G. Wichern
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43
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A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?
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G. Lacey
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32
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Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish
Kawshik Kannan
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Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
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Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
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58
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Schedule-Robust Online Continual Learning
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Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
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Multi-Modal Fusion by Meta-Initialization
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Shreshth A. Malik
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32
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Disentangling Transfer in Continual Reinforcement Learning
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Razvan Pascanu
Lukasz Kuciñski
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MAC: A Meta-Learning Approach for Feature Learning and Recombination
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37
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Class-Specific Channel Attention for Few-Shot Learning
Ying Chen
J. Hsieh
Ming-Ching Chang
20
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A Game-Theoretic Perspective of Generalization in Reinforcement Learning
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Ruiyu Wang
Xinrun Wang
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