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DARTS: Differentiable Architecture Search
v1v2 (latest)

DARTS: Differentiable Architecture Search

24 June 2018
Hanxiao Liu
Karen Simonyan
Yiming Yang
ArXiv (abs)PDFHTML

Papers citing "DARTS: Differentiable Architecture Search"

50 / 2,370 papers shown
Optimizing Millions of Hyperparameters by Implicit Differentiation
Optimizing Millions of Hyperparameters by Implicit DifferentiationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
328
453
0
06 Nov 2019
Searching to Exploit Memorization Effect in Learning from Corrupted
  Labels
Searching to Exploit Memorization Effect in Learning from Corrupted Labels
Quanming Yao
Hansi Yang
Bo Han
Gang Niu
James T. Kwok
NoLa
250
16
0
06 Nov 2019
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory
  Neural Accelerators
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural AcceleratorsIEEE transactions on computers (IEEE Trans. Comput.), 2019
Weiwen Jiang
Qiuwen Lou
Zheyu Yan
Lei Yang
Jiaxi Hu
X. S. Hu
Yiyu Shi
556
80
0
31 Oct 2019
On Neural Architecture Search for Resource-Constrained Hardware
  Platforms
On Neural Architecture Search for Resource-Constrained Hardware Platforms
Qing Lu
Weiwen Jiang
Xiaowei Xu
Yiyu Shi
Jiaxi Hu
287
68
0
31 Oct 2019
NAT: Neural Architecture Transformer for Accurate and Compact
  Architectures
NAT: Neural Architecture Transformer for Accurate and Compact ArchitecturesNeural Information Processing Systems (NeurIPS), 2019
Yong Guo
Yin Zheng
Zhuliang Yu
Qi Chen
Jian Chen
P. Zhao
Junzhou Huang
430
93
0
31 Oct 2019
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Training DNN IoT Applications for Deployment On Analog NVM CrossbarsIEEE International Joint Conference on Neural Network (IJCNN), 2019
F. García-Redondo
Shidhartha Das
G. Rosendale
250
5
0
30 Oct 2019
Evaluating Lottery Tickets Under Distributional Shifts
Evaluating Lottery Tickets Under Distributional ShiftsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Shrey Desai
Hongyuan Zhan
Ahmed Aly
UQCVOOD
162
42
0
28 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture SearchAAAI Conference on Artificial Intelligence (AAAI), 2019
Colin White
Willie Neiswanger
Yash Savani
BDL
408
388
0
25 Oct 2019
Stabilizing DARTS with Amended Gradient Estimation on Architectural
  Parameters
Stabilizing DARTS with Amended Gradient Estimation on Architectural Parameters
Kaifeng Bi
Changping Hu
Lingxi Xie
Xin Chen
Longhui Wei
Qi Tian
276
54
0
25 Oct 2019
Fast Hardware-Aware Neural Architecture Search
Fast Hardware-Aware Neural Architecture Search
Li Zhang
Yuqing Yang
Yuhang Jiang
Wenwu Zhu
Yunxin Liu
3DV
205
66
0
25 Oct 2019
Efficient Decoupled Neural Architecture Search by Structure and
  Operation Sampling
Efficient Decoupled Neural Architecture Search by Structure and Operation SamplingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Heung-Chang Lee
Do-Guk Kim
Bohyung Han
87
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
238
15
0
22 Oct 2019
NormGrad: Finding the Pixels that Matter for Training
NormGrad: Finding the Pixels that Matter for Training
Sylvestre-Alvise Rebuffi
Ruth C. Fong
Xu Ji
Hakan Bilen
Andrea Vedaldi
FAtt
77
6
0
19 Oct 2019
NASIB: Neural Architecture Search withIn Budget
NASIB: Neural Architecture Search withIn Budget
Abhishek Singh
Anubhav Garg
Jinan Zhou
S. Dubey
Debo Dutta
109
2
0
19 Oct 2019
Tiny Video Networks
Tiny Video NetworksApplied AI Letters (AA), 2019
A. Piergiovanni
A. Angelova
Michael S. Ryoo
316
50
0
15 Oct 2019
Learning Generalisable Omni-Scale Representations for Person
  Re-Identification
Learning Generalisable Omni-Scale Representations for Person Re-IdentificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
354
263
0
15 Oct 2019
One-Shot Neural Architecture Search via Self-Evaluated Template Network
One-Shot Neural Architecture Search via Self-Evaluated Template NetworkIEEE International Conference on Computer Vision (ICCV), 2019
Xuanyi Dong
Yezhou Yang
ViT
375
199
0
13 Oct 2019
Flexible Multi-task Networks by Learning Parameter Allocation
Flexible Multi-task Networks by Learning Parameter Allocation
Krzysztof Maziarz
Efi Kokiopoulou
Andrea Gesmundo
L. Sbaiz
Gábor Bartók
Jesse Berent
189
13
0
10 Oct 2019
Searching for A Robust Neural Architecture in Four GPU Hours
Searching for A Robust Neural Architecture in Four GPU HoursComputer Vision and Pattern Recognition (CVPR), 2019
Xuanyi Dong
Yezhou Yang
433
689
0
10 Oct 2019
Differentiable Sparsification for Deep Neural Networks
Differentiable Sparsification for Deep Neural Networks
Yognjin Lee
282
7
0
08 Oct 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting
  Steepest Descent
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
Dilin Wang
Meng Li
Lemeng Wu
Vikas Chandra
Qiang Liu
256
25
0
07 Oct 2019
Improving One-shot NAS by Suppressing the Posterior Fading
Improving One-shot NAS by Suppressing the Posterior FadingComputer Vision and Pattern Recognition (CVPR), 2019
Xiang Li
Chen Lin
Chuming Li
Ming Sun
Wei Wu
Junjie Yan
Wanli Ouyang
149
81
0
06 Oct 2019
Splitting Steepest Descent for Growing Neural Architectures
Splitting Steepest Descent for Growing Neural ArchitecturesNeural Information Processing Systems (NeurIPS), 2019
Qiang Liu
Lemeng Wu
Dilin Wang
296
67
0
06 Oct 2019
How does topology influence gradient propagation and model performance
  of deep networks with DenseNet-type skip connections?
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections?
Kartikeya Bhardwaj
Guihong Li
R. Marculescu
244
1
0
02 Oct 2019
Sub-Architecture Ensemble Pruning in Neural Architecture Search
Sub-Architecture Ensemble Pruning in Neural Architecture SearchIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Yijun Bian
Qingquan Song
Mengnan Du
Jun Yao
Huanhuan Chen
Helen Zhou
142
16
0
01 Oct 2019
Blending Diverse Physical Priors with Neural Networks
Blending Diverse Physical Priors with Neural Networks
Yunhao Ba
Guangyuan Zhao
A. Kadambi
PINNAI4CE
131
36
0
01 Oct 2019
Automated design of error-resilient and hardware-efficient deep neural
  networks
Automated design of error-resilient and hardware-efficient deep neural networks
Christoph Schorn
T. Elsken
Sebastian Vogel
Armin Runge
A. Guntoro
G. Ascheid
AAML
155
34
0
30 Sep 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
1.1K
3,963
0
30 Sep 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search
ReNAS:Relativistic Evaluation of Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2019
Yixing Xu
Yunhe Wang
Avishkar Bhoopchand
Christopher Mattern
A. Grabska-Barwinska
Chunjing Xu
Chang Xu
741
97
0
30 Sep 2019
A Constructive Prediction of the Generalization Error Across Scales
A Constructive Prediction of the Generalization Error Across ScalesInternational Conference on Learning Representations (ICLR), 2019
Jonathan S. Rosenfeld
Amir Rosenfeld
Yonatan Belinkov
Nir Shavit
294
252
0
27 Sep 2019
Pruning from Scratch
Pruning from ScratchAAAI Conference on Artificial Intelligence (AAAI), 2019
Yulong Wang
Xiaolu Zhang
Lingxi Xie
Jun Zhou
Hang Su
Bo Zhang
Xiaolin Hu
174
215
0
27 Sep 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
210
27
0
26 Sep 2019
Efficient Residual Dense Block Search for Image Super-Resolution
Efficient Residual Dense Block Search for Image Super-ResolutionAAAI Conference on Artificial Intelligence (AAAI), 2019
Dehua Song
Chang Xu
Xu Jia
Yiyi Chen
Chunjing Xu
Yunhe Wang
SupR
220
140
0
25 Sep 2019
Balanced One-shot Neural Architecture Optimization
Balanced One-shot Neural Architecture Optimization
Renqian Luo
Tao Qin
Enhong Chen
BDL
137
14
0
24 Sep 2019
Scheduled Differentiable Architecture Search for Visual Recognition
Scheduled Differentiable Architecture Search for Visual Recognition
Zhaofan Qiu
Ting Yao
Yiheng Zhang
Yongdong Zhang
Tao Mei
OOD
138
3
0
23 Sep 2019
Structured Binary Neural Networks for Image Recognition
Structured Binary Neural Networks for Image RecognitionInternational Journal of Computer Vision (IJCV), 2019
Bohan Zhuang
Chunhua Shen
Zhuliang Yu
Peng Chen
Lingqiao Liu
Ian Reid
MQ
324
22
0
22 Sep 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture SearchInternational Conference on Learning Representations (ICLR), 2019
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Katharina Eggensperger
OODAAML
324
396
0
20 Sep 2019
Understanding Architectures Learnt by Cell-based Neural Architecture
  Search
Understanding Architectures Learnt by Cell-based Neural Architecture SearchInternational Conference on Learning Representations (ICLR), 2019
Yao Shu
Wei Wang
Shaofeng Cai
197
90
0
20 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human
  sperm images
Genetic Neural Architecture Search for automatic assessment of human sperm imagesExpert systems with applications (ESWA), 2019
Erfan Miahi
Seyed Abolghasem Mirroshandel
Alexis Nasr
131
32
0
20 Sep 2019
Memory-Efficient Hierarchical Neural Architecture Search for Image
  Denoising
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingComputer Vision and Pattern Recognition (CVPR), 2019
Haokui Zhang
Ying Li
Hao Chen
Chunhua Shen
AI4CE
151
60
0
18 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 NetworksNeural Information Processing Systems (NeurIPS), 2019
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
210
280
0
18 Sep 2019
Learning Index Selection with Structured Action Spaces
Learning Index Selection with Structured Action Spaces
Jeremy Welborn
Michael Schaarschmidt
Eiko Yoneki
107
10
0
16 Sep 2019
Pose Neural Fabrics Search
Pose Neural Fabrics Search
Sen Yang
Wankou Yang
Zhen Cui
271
18
0
16 Sep 2019
Graph-guided Architecture Search for Real-time Semantic Segmentation
Graph-guided Architecture Search for Real-time Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2019
Peiwen Lin
Peng Sun
Guangliang Cheng
Sirui Xie
Xi Li
Jianping Shi
GNN3DPC
175
105
0
15 Sep 2019
DARTS+: Improved Differentiable Architecture Search with Early Stopping
DARTS+: Improved Differentiable Architecture Search with Early Stopping
Hanwen Liang
Shifeng Zhang
Jiacheng Sun
Xingqiu He
Weiran Huang
Kechen Zhuang
Zhenguo Li
303
300
0
13 Sep 2019
SegNAS3D: Network Architecture Search with Derivative-Free Global
  Optimization for 3D Image Segmentation
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Ken C. L. Wong
Mehdi Moradi
3DV3DPC
122
20
0
12 Sep 2019
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Self-Assembling Modular Networks for Interpretable Multi-Hop ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Yichen Jiang
Joey Tianyi Zhou
ReLMLRM
179
73
0
12 Sep 2019
CARS: Continuous Evolution for Efficient Neural Architecture Search
CARS: Continuous Evolution for Efficient Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2019
Zhaohui Yang
Yunhe Wang
Xinghao Chen
Boxin Shi
Chao Xu
Chunjing Xu
Qi Tian
Chang Xu
374
257
0
11 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks
Differentiable Mask for Pruning Convolutional and Recurrent NetworksCanadian Conference on Computer and Robot Vision (CRV), 2019
R. Ramakrishnan
Eyyub Sari
V. Nia
VLM
177
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Knowledge Transfer Graph for Deep Collaborative Learning
Knowledge Transfer Graph for Deep Collaborative LearningAsian Conference on Computer Vision (ACCV), 2019
Soma Minami
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
133
12
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10 Sep 2019
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