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DropNAS: Grouped Operation Dropout for Differentiable Architecture
  Search

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

27 January 2022
Weijun Hong
Guilin Li
Weinan Zhang
Ruiming Tang
Yunhe Wang
Zhenguo Li
Yong Yu
    OOD
ArXivPDFHTML

Papers citing "DropNAS: Grouped Operation Dropout for Differentiable Architecture Search"

33 / 33 papers shown
Title
OStr-DARTS: Differentiable Neural Architecture Search based on Operation
  Strength
OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength
Le Yang
Ziwei Zheng
Yizeng Han
Shiji Song
Gao Huang
Fan Li
21
1
0
22 Sep 2024
Boosting Order-Preserving and Transferability for Neural Architecture
  Search: a Joint Architecture Refined Search and Fine-tuning Approach
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach
Beichen Zhang
Xiaoxing Wang
Xiaohan Qin
Junchi Yan
25
4
0
18 Mar 2024
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate
  Importance
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Hongyi He
Longjun Liu
Haonan Zhang
Nanning Zheng
25
8
0
19 Dec 2023
A survey on efficient vision transformers: algorithms, techniques, and
  performance benchmarking
A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
Lorenzo Papa
Paolo Russo
Irene Amerini
Luping Zhou
25
42
0
05 Sep 2023
GeNAS: Neural Architecture Search with Better Generalization
GeNAS: Neural Architecture Search with Better Generalization
Joonhyun Jeong
Joonsang Yu
Geondo Park
Dongyoon Han
Y. Yoo
25
4
0
15 May 2023
$β$-DARTS++: Bi-level Regularization for Proxy-robust Differentiable
  Architecture Search
βββ-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Peng Ye
Tong He
Baopu Li
Tao Chen
Lei Bai
Wanli Ouyang
OOD
29
7
0
16 Jan 2023
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiangning Xie
Xiaotian Song
Zeqiong Lv
Gary G. Yen
Weiping Ding
Y. Sun
26
12
0
14 Jan 2023
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader
  Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Shujian Zhang
Chengyue Gong
Xingchao Liu
RALM
37
6
0
02 Nov 2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot
  NAS
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
Zixuan Zhou
Xuefei Ning
Y. Cai
Jiashu Han
Yiping Deng
Yuhan Dong
Huazhong Yang
Yu Wang
3DPC
25
12
0
16 Jul 2022
DASS: Differentiable Architecture Search for Sparse neural networks
DASS: Differentiable Architecture Search for Sparse neural networks
H. Mousavi
Mohammad Loni
Mina Alibeigi
Masoud Daneshtalab
33
9
0
14 Jul 2022
Efficient Re-parameterization Operations Search for Easy-to-Deploy
  Network Based on Directional Evolutionary Strategy
Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy
Xinyi Yu
Xiaowei Wang
Jintao Rong
Mingyang Zhang
Linlin Ou
23
1
0
13 Apr 2022
$β$-DARTS: Beta-Decay Regularization for Differentiable Architecture
  Search
βββ-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Peng Ye
Baopu Li
Yikang Li
Tao Chen
Jiayuan Fan
Wanli Ouyang
13
101
0
03 Mar 2022
UDC: Unified DNAS for Compressible TinyML Models
UDC: Unified DNAS for Compressible TinyML Models
Igor Fedorov
Ramon Matas
Hokchhay Tann
Chu Zhou
Matthew Mattina
P. Whatmough
AI4CE
21
13
0
15 Jan 2022
Learning from Mistakes based on Class Weighting with Application to
  Neural Architecture Search
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search
Jay P. Gala
P. Xie
29
1
0
01 Dec 2021
Improving Differentiable Architecture Search with a Generative Model
Improving Differentiable Architecture Search with a Generative Model
Ruisi Zhang
Youwei Liang
Sai Ashish Somayajula
P. Xie
OOD
22
0
0
30 Nov 2021
Learning from Mistakes -- A Framework for Neural Architecture Search
Learning from Mistakes -- A Framework for Neural Architecture Search
Bhanu Garg
Li Lyna Zhang
Pradyumna Sridhara
Ramtin Hosseini
Eric P. Xing
P. Xie
17
9
0
11 Nov 2021
Approximate Neural Architecture Search via Operation Distribution
  Learning
Approximate Neural Architecture Search via Operation Distribution Learning
Xingchen Wan
Binxin Ru
P. Esperança
Fabio Maria Carlucci
28
7
0
08 Nov 2021
Neural Ensemble Search via Bayesian Sampling
Neural Ensemble Search via Bayesian Sampling
Yao Shu
Yizhou Chen
Zhongxiang Dai
Bryan Kian Hsiang Low
BDL
13
8
0
06 Sep 2021
Single-DARTS: Towards Stable Architecture Search
Single-DARTS: Towards Stable Architecture Search
Pengfei Hou
Ying Jin
Yukang Chen
10
7
0
18 Aug 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu
Yongan Zhang
Yang Zhang
David D. Cox
Yingyan Lin
MQ
50
17
0
11 Jun 2021
Interleaving Learning, with Application to Neural Architecture Search
Interleaving Learning, with Application to Neural Architecture Search
Hao Ban
P. Xie
11
2
0
12 Mar 2021
Learning by Teaching, with Application to Neural Architecture Search
Learning by Teaching, with Application to Neural Architecture Search
Parth Sheth
Yueyu Jiang
P. Xie
23
4
0
11 Mar 2021
Stronger NAS with Weaker Predictors
Stronger NAS with Weaker Predictors
Junru Wu
Xiyang Dai
Dongdong Chen
Yinpeng Chen
Mengchen Liu
Ye Yu
Zhangyang Wang
Zicheng Liu
Mei Chen
Lu Yuan
OOD
30
40
0
21 Feb 2021
Learning by Self-Explanation, with Application to Neural Architecture
  Search
Learning by Self-Explanation, with Application to Neural Architecture Search
Ramtin Hosseini
P. Xie
20
5
0
23 Dec 2020
Small-Group Learning, with Application to Neural Architecture Search
Small-Group Learning, with Application to Neural Architecture Search
Xuefeng Du
P. Xie
6
3
0
23 Dec 2020
Single-level Optimization For Differential Architecture Search
Single-level Optimization For Differential Architecture Search
Pengfei Hou
Ying Jin
12
2
0
15 Dec 2020
Skillearn: Machine Learning Inspired by Humans' Learning Skills
Skillearn: Machine Learning Inspired by Humans' Learning Skills
P. Xie
Xuefeng Du
Hao Ban
11
5
0
09 Dec 2020
Learning by Passing Tests, with Application to Neural Architecture
  Search
Learning by Passing Tests, with Application to Neural Architecture Search
Xuefeng Du
Haochen Zhang
P. Xie
18
4
0
30 Nov 2020
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and
  Gradient Accumulation
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation
Xiaoxing Wang
Xiangxiang Chu
Yuda Fan
Zhexi Zhang
Bo-Wen Zhang
Xiaokang Yang
Junchi Yan
11
4
0
23 Nov 2020
DOTS: Decoupling Operation and Topology in Differentiable Architecture
  Search
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
Yuchao Gu
Li-Juan Wang
Yun-Hai Liu
Yi Yang
Yu-Huan Wu
Shao-Ping Lu
Ming-Ming Cheng
27
48
0
02 Oct 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
...
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
ViT
35
108
0
04 Aug 2020
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
366
0
20 Sep 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
266
5,326
0
05 Nov 2016
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