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TIPS: Topologically Important Path Sampling for Anytime Neural Networks

TIPS: Topologically Important Path Sampling for Anytime Neural Networks

13 May 2023
Guihong Li
Kartikeya Bhardwaj
Yuedong Yang
R. Marculescu
    AAML
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Papers citing "TIPS: Topologically Important Path Sampling for Anytime Neural Networks"

3 / 3 papers shown
Title
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
330
0
14 Jun 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
83
508
0
09 Apr 2018
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