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Is the Meta-Learning Idea Able to Improve the Generalization of Deep
  Neural Networks on the Standard Supervised Learning?

Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?

International Conference on Pattern Recognition (ICPR), 2020
27 February 2020
Xiang Deng
Zhongfei Zhang
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?"

3 / 3 papers shown
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Robust Mixture-of-Expert Training for Convolutional Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2023
Yihua Zhang
Ruisi Cai
Tianlong Chen
Guanhua Zhang
Huan Zhang
Pin-Yu Chen
Shiyu Chang
Zinan Lin
Sijia Liu
MoEAAMLOOD
255
39
0
19 Aug 2023
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level OptimizationNeural Information Processing Systems (NeurIPS), 2022
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
488
89
0
08 Oct 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learningCommunication on Applied Mathematics and Computation (CAMC), 2022
Z. Xu
Yaoyu Zhang
Yaoyu Zhang
FaML
518
137
0
19 Jan 2022
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