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SNAS: Stochastic Neural Architecture Search

SNAS: Stochastic Neural Architecture Search

24 December 2018
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
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Papers citing "SNAS: Stochastic Neural Architecture Search"

50 / 229 papers shown
Title
DC-NAS: Divide-and-Conquer Neural Architecture Search
DC-NAS: Divide-and-Conquer Neural Architecture Search
Yunhe Wang
Yixing Xu
Dacheng Tao
28
5
0
29 May 2020
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass
  Lens
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
Zhaohui Yang
Yunhe Wang
Xinghao Chen
Jianyuan Guo
Wei Zhang
Chao Xu
Chunjing Xu
Dacheng Tao
Chang Xu
39
17
0
29 May 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
33
27
0
22 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
Xinming Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
47
19
0
18 May 2020
Progressive Automatic Design of Search Space for One-Shot Neural
  Architecture Search
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search
Xin Xia
Xuefeng Xiao
Xing Wang
Min Zheng
27
18
0
15 May 2020
A Semi-Supervised Assessor of Neural Architectures
A Semi-Supervised Assessor of Neural Architectures
Yehui Tang
Yunhe Wang
Yixing Xu
Hanting Chen
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
24
67
0
14 May 2020
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
31
67
0
16 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
95
1,939
0
11 Apr 2020
Evolving Normalization-Activation Layers
Evolving Normalization-Activation Layers
Hanxiao Liu
Andrew Brock
Karen Simonyan
Quoc V. Le
19
79
0
06 Apr 2020
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint
  Decision and Feature Aggregation
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
Peng Sun
Jiaxiang Wu
Songyuan Li
Peiwen Lin
Junzhou Huang
Xi Li
SSeg
19
13
0
31 Mar 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
29
94
0
31 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
20
27
0
29 Mar 2020
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search
Xiyang Dai
Dongdong Chen
Mengchen Liu
Yinpeng Chen
Lu Yuan
24
20
0
27 Mar 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level
  Reformulation
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
Chaoyang He
Haishan Ye
Li Shen
Tong Zhang
37
128
0
27 Mar 2020
DCNAS: Densely Connected Neural Architecture Search for Semantic Image
  Segmentation
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
Xiong Zhang
Hongmin Xu
Hong Mo
Jianchao Tan
Cheng Yang
Lei Wang
Wenqi Ren
AI4CE
32
91
0
26 Mar 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object
  Detection
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
Jianyuan Guo
Kai Han
Yunhe Wang
Chao Zhang
Zhaohui Yang
Hanxue Wu
Xinghao Chen
Chang Xu
27
99
0
26 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lio
M. Jamnik
GNN
AI4CE
51
27
0
21 Mar 2020
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
DADA: Differentiable Automatic Data Augmentation
DADA: Differentiable Automatic Data Augmentation
Yonggang Li
Guosheng Hu
Yongtao Wang
Timothy M. Hospedales
N. Robertson
Yongxin Yang
35
107
0
08 Mar 2020
BATS: Binary ArchitecTure Search
BATS: Binary ArchitecTure Search
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
25
67
0
03 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search
NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu
Xiaolong Jiang
Xuhui Liu
Baochang Zhang
Jungong Han
Xianbin Cao
David Doermann
38
89
0
29 Feb 2020
Semi-Supervised Neural Architecture Search
Semi-Supervised Neural Architecture Search
Renqian Luo
Xu Tan
Rui Wang
Tao Qin
Enhong Chen
Tie-Yan Liu
13
88
0
24 Feb 2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining
DSNAS: Direct Neural Architecture Search without Parameter Retraining
Shou-Yong Hu
Sirui Xie
Hehui Zheng
Chunxiao Liu
Jianping Shi
Xunying Liu
Dahua Lin
24
130
0
21 Feb 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
25
44
0
17 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based
  Regularization
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen
Cho-Jui Hsieh
32
203
0
12 Feb 2020
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
29
485
0
12 Feb 2020
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
Aloïs Pourchot
Alexis Ducarouge
Olivier Sigaud
11
20
0
11 Feb 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
88
147
0
28 Jan 2020
Latency-Aware Differentiable Neural Architecture Search
Latency-Aware Differentiable Neural Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Bowen Shi
Qi Tian
H. Xiong
OOD
35
33
0
17 Jan 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 Zhang
24
21
0
16 Jan 2020
Deeper Insights into Weight Sharing in Neural Architecture Search
Deeper Insights into Weight Sharing in Neural Architecture Search
Yuge Zhang
Zejun Lin
Junyan Jiang
Quanlu Zhang
Yujing Wang
Hui Xue
Chen Zhang
Yaming Yang
35
49
0
06 Jan 2020
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
11
94
0
23 Dec 2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
Arash Vahdat
Arun Mallya
Ming Liu
Jan Kautz
30
34
0
16 Dec 2019
Efficient Differentiable Neural Architecture Search with Meta Kernels
Efficient Differentiable Neural Architecture Search with Meta Kernels
Shoufa Chen
Yunpeng Chen
Shuicheng Yan
Jiashi Feng
19
18
0
10 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels
Dynamic Convolution: Attention over Convolution Kernels
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
33
871
0
07 Dec 2019
Neural Predictor for Neural Architecture Search
Neural Predictor for Neural Architecture Search
W. Wen
Hanxiao Liu
H. Li
Yiran Chen
Gabriel Bender
Pieter-Jan Kindermans
46
194
0
02 Dec 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
28
136
0
25 Nov 2019
Exploiting Operation Importance for Differentiable Neural Architecture
  Search
Exploiting Operation Importance for Differentiable Neural Architecture Search
Xukai Xie
Yuan Zhou
S. Kung
17
34
0
24 Nov 2019
SM-NAS: Structural-to-Modular Neural Architecture Search for Object
  Detection
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
Lewei Yao
Hang Xu
Wei Zhang
Xiaodan Liang
Zhenguo Li
19
79
0
22 Nov 2019
Automatic Design of CNNs via Differentiable Neural Architecture Search
  for PolSAR Image Classification
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Hongwei Dong
Siyu Zhang
B. Zou
Lamei Zhang
16
47
0
16 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
Willie Neiswanger
Yash Savani
BDL
48
314
0
25 Oct 2019
Efficient Decoupled Neural Architecture Search by Structure and
  Operation Sampling
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling
Heung-Chang Lee
Do-Guk Kim
Bohyung Han
38
6
0
23 Oct 2019
How can AI Automate End-to-End Data Science?
How can AI Automate End-to-End Data Science?
Charu C. Aggarwal
Djallel Bouneffouf
Horst Samulowitz
Beat Buesser
T. Hoang
...
Tejaswini Pedapati
Parikshit Ram
Ambrish Rawat
Martin Wistuba
Alexander G. Gray
88
14
0
22 Oct 2019
Learning Generalisable Omni-Scale Representations for Person
  Re-Identification
Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
30
217
0
15 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong
Yezhou Yang
20
648
0
10 Oct 2019
Hierarchical Neural Architecture Search via Operator Clustering
Hierarchical Neural Architecture Search via Operator Clustering
Guilin Li
Xingzhi Zhang
Zitong Wang
Matthias Tan
Jiashi Feng
Zhenguo Li
Tong Zhang
19
25
0
26 Sep 2019
Balanced One-shot Neural Architecture Optimization
Balanced One-shot Neural Architecture Optimization
Renqian Luo
Tao Qin
Enhong Chen
BDL
22
14
0
24 Sep 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
66
369
0
20 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep
  Convolutional Neural Networks
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
16
246
0
18 Sep 2019
Pose Neural Fabrics Search
Pose Neural Fabrics Search
Sen Yang
Wankou Yang
Zhen Cui
39
18
0
16 Sep 2019
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