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Angle-based Search Space Shrinking for Neural Architecture Search

Angle-based Search Space Shrinking for Neural Architecture Search

28 April 2020
Yiming Hu
Yuding Liang
Zichao Guo
Ruosi Wan
X. Zhang
Yichen Wei
Qingyi Gu
Jian-jun Sun
ArXivPDFHTML

Papers citing "Angle-based Search Space Shrinking for Neural Architecture Search"

4 / 4 papers shown
Title
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural
  Architecture Search
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search
Bhavna Gopal
Arjun Sridhar
Tunhou Zhang
Yiran Chen
14
3
0
06 Jul 2023
DetOFA: Efficient Training of Once-for-All Networks for Object Detection
  Using Path Filter
DetOFA: Efficient Training of Once-for-All Networks for Object Detection Using Path Filter
Yuiko Sakuma
Masato Ishii
T. Narihira
20
2
0
23 Mar 2023
PredNAS: A Universal and Sample Efficient Neural Architecture Search
  Framework
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
Liuchun Yuan
Zehao Huang
Naiyan Wang
21
0
0
26 Oct 2022
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture
  Search
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search
Guocheng Qian
Xuanyang Zhang
G. Li
Chen Zhao
Yukang Chen
X. Zhang
Bernard Ghanem
Jian-jun Sun
35
4
0
11 Apr 2022
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