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Understanding and Accelerating Neural Architecture Search with
  Training-Free and Theory-Grounded Metrics

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

26 August 2021
Wuyang Chen
Xinyu Gong
Junru Wu
Yunchao Wei
Humphrey Shi
Zhicheng Yan
Yi Yang
Zhangyang Wang
ArXivPDFHTML

Papers citing "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics"

4 / 4 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
91
32
0
29 Apr 2023
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully
  Connected Neural Networks
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
Charles Edison Tripp
J. Perr-Sauer
L. Hayne
M. Lunacek
Jamil Gafur
AI4CE
19
0
0
25 Jul 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
1