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BayesNAS: A Bayesian Approach for Neural Architecture Search

BayesNAS: A Bayesian Approach for Neural Architecture Search

13 May 2019
Hongpeng Zhou
Minghao Yang
Jun Wang
Wei Pan
    BDL
ArXivPDFHTML

Papers citing "BayesNAS: A Bayesian Approach for Neural Architecture Search"

15 / 15 papers shown
Title
AgentSquare: Automatic LLM Agent Search in Modular Design Space
AgentSquare: Automatic LLM Agent Search in Modular Design Space
Yu Shang
Yu Li
Keyu Zhao
Likai Ma
Qingbin Liu
Fengli Xu
Yong Li
LLMAG
70
14
0
08 Oct 2024
DrNAS: Dirichlet Neural Architecture Search
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen
Ruochen Wang
Minhao Cheng
Xiaocheng Tang
Cho-Jui Hsieh
OOD
44
100
0
18 Jun 2020
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
65
932
0
24 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
81
1,865
0
02 Dec 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
215
1,190
0
04 Oct 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
170
4,326
0
24 Jun 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
182
499
0
24 Apr 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
81
2,761
0
09 Feb 2018
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
77
925
0
01 Nov 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
102
762
0
17 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
146
5,577
0
21 Jul 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
114
479
0
24 May 2017
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
122
416
0
13 Feb 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
236
8,030
0
13 Aug 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
207
8,793
0
01 Oct 2015
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