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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 / 2,367 papers shown
Title
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
Guosheng Lin
SupR
270
1,647
0
16 Feb 2019
Fast Task-Aware Architecture Inference
Fast Task-Aware Architecture Inference
Efi Kokiopoulou
Anja Hauth
L. Sbaiz
Andrea Gesmundo
Gábor Bartók
Jesse Berent
3DV
132
18
0
15 Feb 2019
Probabilistic Neural Architecture Search
Probabilistic Neural Architecture Search
F. P. Casale
Jonathan Gordon
Nicolò Fusi
TPM
154
78
0
13 Feb 2019
Architecture Compression
Architecture Compression
A. Ashok
111
0
0
08 Feb 2019
FSNet: Compression of Deep Convolutional Neural Networks by Filter
  Summary
FSNet: Compression of Deep Convolutional Neural Networks by Filter SummaryInternational Conference on Learning Representations (ICLR), 2019
Yingzhen Yang
Jiahui Yu
Nebojsa Jojic
Jun Huan
Thomas S. Huang
238
17
0
08 Feb 2019
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search
DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search
Guillaume Michel
M. Alaoui
A. Lebois
Amal Feriani
Mehdi Felhi
3DV
82
10
0
05 Feb 2019
An Empirical Study on Regularization of Deep Neural Networks by Local
  Rademacher Complexity
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity
Yingzhen Yang
Jiahui Yu
Xingjian Li
Jun Huan
Thomas S. Huang
AI4CE
243
6
0
03 Feb 2019
Learnable Embedding Space for Efficient Neural Architecture Compression
Learnable Embedding Space for Efficient Neural Architecture CompressionInternational Conference on Learning Representations (ICLR), 2019
Shengcao Cao
Xiaofang Wang
Kris Kitani
208
43
0
01 Feb 2019
The Evolved Transformer
The Evolved TransformerInternational Conference on Machine Learning (ICML), 2019
David R. So
Chen Liang
Quoc V. Le
ViT
473
487
0
30 Jan 2019
Augment your batch: better training with larger batches
Augment your batch: better training with larger batches
Elad Hoffer
Tal Ben-Nun
Itay Hubara
Niv Giladi
Torsten Hoefler
Daniel Soudry
ODL
198
77
0
27 Jan 2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale
  Neural Architecture Search
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Jiemin Fang
Yukang Chen
Xinbang Zhang
Qian Zhang
Chang Huang
Gaofeng Meng
Wenyu Liu
Xinggang Wang
196
24
0
17 Jan 2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Atin Sood
Benjamin Elder
Benjamin Herta
Chao Xue
C. Bekas
...
M. Choudhury
Rong Yan
R. Istrate
Ruchi Puri
Tejaswini Pedapati
SyDa
102
8
0
17 Jan 2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image
  Segmentation
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu
Liang-Chieh Chen
Florian Schroff
Hartwig Adam
Wei Hua
Alan Yuille
Li Fei-Fei
SSeg
394
1,018
0
10 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
644
4,081
0
09 Jan 2019
Neural Architecture Search Over a Graph Search Space
Neural Architecture Search Over a Graph Search Space
Stanislaw Jastrzebski
Quentin de Laroussilhe
Mingxing Tan
Xiao Ma
N. Houlsby
Andrea Gesmundo
GNN
110
5
0
27 Dec 2018
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
225
978
0
24 Dec 2018
Meta Architecture Search
Meta Architecture Search
Albert Eaton Shaw
Wei Wei
Weiyang Liu
Le Song
Bo Dai
BDL
143
38
0
22 Dec 2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model
  Adaptation
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
Xiaoliang Dai
Peizhao Zhang
Bichen Wu
Hongxu Yin
Fei Sun
...
Yiming Wu
Yangqing Jia
Peter Vajda
M. Uyttendaele
N. Jha
170
283
0
21 Dec 2018
IRLAS: Inverse Reinforcement Learning for Architecture Search
IRLAS: Inverse Reinforcement Learning for Architecture Search
Minghao Guo
Zhaobai Zhong
Wei Wu
Dahua Lin
Junjie Yan
3DV
196
41
0
13 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural
  Architecture Search
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu
Xiaoliang Dai
Peizhao Zhang
Yanghan Wang
Fei Sun
Yiming Wu
Yuandong Tian
Peter Vajda
Yangqing Jia
Kurt Keutzer
MQ
620
1,373
0
09 Dec 2018
ShuffleNASNets: Efficient CNN models through modified Efficient Neural
  Architecture Search
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search
Kevin Laube
A. Zell
UQCV
119
11
0
07 Dec 2018
Attention-based Adaptive Selection of Operations for Image Restoration
  in the Presence of Unknown Combined Distortions
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
Masanori Suganuma
Xing Liu
Takayuki Okatani
216
90
0
03 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
488
1,982
0
02 Dec 2018
Mixed Precision Quantization of ConvNets via Differentiable Neural
  Architecture Search
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search
Bichen Wu
Yanghan Wang
Peizhao Zhang
Yuandong Tian
Peter Vajda
Kurt Keutzer
MQ
269
296
0
30 Nov 2018
Deep learning for pedestrians: backpropagation in CNNs
Deep learning for pedestrians: backpropagation in CNNs
L. Boué
3DVPINN
113
6
0
29 Nov 2018
InstaNAS: Instance-aware Neural Architecture Search
InstaNAS: Instance-aware Neural Architecture Search
A. Cheng
Chieh Hubert Lin
Da-Cheng Juan
Wei Wei
Min Sun
159
51
0
26 Nov 2018
Evolutionary-Neural Hybrid Agents for Architecture Search
Evolutionary-Neural Hybrid Agents for Architecture Search
Krzysztof Maziarz
Mingxing Tan
A. Khorlin
Quentin de Laroussilhe
Andrea Gesmundo
256
42
0
24 Nov 2018
Joint Neural Architecture Search and Quantization
Joint Neural Architecture Search and Quantization
Yukang Chen
Gaofeng Meng
Qian Zhang
Xinbang Zhang
Liangchen Song
Shiming Xiang
Chunhong Pan
MQ
127
29
0
23 Nov 2018
Efficient Structured Pruning and Architecture Searching for Group
  Convolution
Efficient Structured Pruning and Architecture Searching for Group Convolution
Ruizhe Zhao
Wayne Luk
206
19
0
23 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and
  Semantic Segmentation
Structured Binary Neural Networks for Accurate Image Classification and Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2018
Bohan Zhuang
Chunhua Shen
Zhuliang Yu
Lingqiao Liu
Ian Reid
MQ
156
160
0
22 Nov 2018
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2018
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
267
24
0
22 Nov 2018
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Ping Luo
Zhanglin Peng
Jiamin Ren
Ruimao Zhang
FAttOOD
125
7
0
19 Nov 2018
Deep Active Learning with a Neural Architecture Search
Deep Active Learning with a Neural Architecture SearchNeural Information Processing Systems (NeurIPS), 2018
Yonatan Geifman
Ran El-Yaniv
AI4CE
187
46
0
19 Nov 2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Oscar Chang
Robert Kwiatkowski
Siyuan Chen
Hod Lipson
248
7
0
12 Nov 2018
You Only Search Once: Single Shot Neural Architecture Search via Direct
  Sparse Optimization
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
Xinbang Zhang
Zehao Huang
Naiyan Wang
156
95
0
05 Nov 2018
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward
  Neural Networks
PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks
Ping Guo
Ke Wang
Xiuling Zhou
134
19
0
05 Nov 2018
Automated Machine Learning: From Principles to Practices
Automated Machine Learning: From Principles to Practices
Quanming Yao
Mengshuo Wang
Hugo Jair Escalante
Huan Zhao
Qiang Yang
299
260
0
31 Oct 2018
Differentiable Fine-grained Quantization for Deep Neural Network
  Compression
Differentiable Fine-grained Quantization for Deep Neural Network Compression
Hsin-Pai Cheng
Yuanjun Huang
Xuyang Guo
Yifei Huang
Feng Yan
Hai Helen Li
Yiran Chen
MQ
182
14
0
20 Oct 2018
Trellis Networks for Sequence Modeling
Trellis Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
176
154
0
15 Oct 2018
A System for Massively Parallel Hyperparameter Tuning
A System for Massively Parallel Hyperparameter Tuning
Liam Li
Kevin Jamieson
Afshin Rostamizadeh
Ekaterina Gonina
Moritz Hardt
Benjamin Recht
Ameet Talwalkar
207
448
0
13 Oct 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
250
295
0
12 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
269
1,599
0
11 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley
Jack Turner
Amos Storkey
Michael F. P. O'Boyle
3DPC
153
31
0
10 Oct 2018
Learning with Random Learning Rates
Learning with Random Learning Rates
Léonard Blier
Pierre Wolinski
Yann Ollivier
OOD
237
21
0
02 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin
Chun-Nan Chou
Edward Y. Chang
MQ
65
4
0
18 Sep 2018
Searching for Efficient Multi-Scale Architectures for Dense Image
  Prediction
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen
Maxwell D. Collins
Yukun Zhu
George Papandreou
Barret Zoph
Florian Schroff
Hartwig Adam
Jonathon Shlens
3DV
175
416
0
11 Sep 2018
An Adaptive Locally Connected Neuron Model: Focusing Neuron
An Adaptive Locally Connected Neuron Model: Focusing Neuron
F. Boray Tek
198
6
0
31 Aug 2018
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
A. Cheng
Jin-Dong Dong
Chi-Hung Hsu
Shu-Huan Chang
Min Sun
Shih-Chieh Chang
Jia Pan
Yu-Ting Chen
Wei Wei
Da-Cheng Juan
183
28
0
29 Aug 2018
A Survey of Modern Object Detection Literature using Deep Learning
A Survey of Modern Object Detection Literature using Deep Learning
K. Chahal
Kuntal Dey
ObjD
88
37
0
22 Aug 2018
Neural Architecture Optimization
Neural Architecture Optimization
Renqian Luo
Fei Tian
Tao Qin
Enhong Chen
Tie-Yan Liu
3DV
398
690
0
22 Aug 2018
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