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Once-for-All: Train One Network and Specialize it for Efficient
  Deployment

Once-for-All: Train One Network and Specialize it for Efficient Deployment

26 August 2019
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
    OOD
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Papers citing "Once-for-All: Train One Network and Specialize it for Efficient Deployment"

7 / 257 papers shown
Title
How to Train Your Super-Net: An Analysis of Training Heuristics in
  Weight-Sharing NAS
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
27
34
0
09 Mar 2020
MixPath: A Unified Approach for One-shot Neural Architecture Search
MixPath: A Unified Approach for One-shot Neural Architecture Search
Xiangxiang Chu
Shun Lu
Xudong Li
Bo-Wen Zhang
24
21
0
16 Jan 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
34
73
0
07 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
36
506
0
23 Dec 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
A. Yaguchi
Taiji Suzuki
Shuhei Nitta
Y. Sakata
A. Tanizawa
19
9
0
29 Oct 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,420
0
02 Aug 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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