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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?

27 February 2020
Xiang Deng
Zhongfei Zhang
    AI4CE
ArXivPDFHTML

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

5 / 5 papers shown
Title
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Yihua Zhang
Ruisi Cai
Tianlong Chen
Guanhua Zhang
Huan Zhang
Pin-Yu Chen
Shiyu Chang
Zhangyang Wang
Sijia Liu
MoE
AAML
OOD
34
16
0
19 Aug 2023
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
49
68
0
08 Oct 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
33
66
0
19 Jan 2022
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
205
498
0
11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
368
11,700
0
09 Mar 2017
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