ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.09055
  4. Cited By
DARTS: Differentiable Architecture Search

DARTS: Differentiable Architecture Search

24 June 2018
Hanxiao Liu
Karen Simonyan
Yiming Yang
ArXivPDFHTML

Papers citing "DARTS: Differentiable Architecture Search"

50 / 832 papers shown
Title
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform
  Deployment
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment
Manas Sahni
S. Varshini
Alind Khare
Alexey Tumanov
15
31
0
26 Apr 2021
Width Transfer: On the (In)variance of Width Optimization
Width Transfer: On the (In)variance of Width Optimization
Ting-Wu Chin
Diana Marculescu
Ari S. Morcos
13
3
0
24 Apr 2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
Yonggan Fu
Zhongzhi Yu
Yongan Zhang
Yi Ding
Chaojian Li
Yongyuan Liang
Mingchao Jiang
Zhangyang Wang
Yingyan Lin
25
3
0
22 Apr 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
49
30
0
21 Apr 2021
Deep Learning for Click-Through Rate Estimation
Deep Learning for Click-Through Rate Estimation
Weinan Zhang
Jiarui Qin
Wei Guo
Ruiming Tang
Xiuqiang He
3DV
HAI
33
108
0
21 Apr 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional
  Medical Image Segmentation
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
...
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OOD
FedML
44
46
0
20 Apr 2021
End-to-end Keyword Spotting using Neural Architecture Search and
  Quantization
End-to-end Keyword Spotting using Neural Architecture Search and Quantization
David Peter
Wolfgang Roth
Franz Pernkopf
MQ
24
14
0
14 Apr 2021
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and
  Compute-in-Memory DNN Accelerators
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
Shamma Nasrin
A. Shylendra
Yuti Kadakia
N. Iliev
Wilfred Gomes
Theja Tulabandhula
A. R. Trivedi
MQ
10
2
0
12 Apr 2021
Direct Differentiable Augmentation Search
Direct Differentiable Augmentation Search
Aoming Liu
Zehao Huang
Zhiwu Huang
Naiyan Wang
30
33
0
09 Apr 2021
Software/Hardware Co-design for Multi-modal Multi-task Learning in
  Autonomous Systems
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems
Cong Hao
Deming Chen
13
20
0
08 Apr 2021
Searching Efficient Model-guided Deep Network for Image Denoising
Searching Efficient Model-guided Deep Network for Image Denoising
Qiang Ning
W. Dong
Xin Li
Jinjian Wu
Leida Li
Guangming Shi
33
7
0
06 Apr 2021
Neural Feature Search for RGB-Infrared Person Re-Identification
Neural Feature Search for RGB-Infrared Person Re-Identification
Yehansen Chen
Lin Wan
Zhihang Li
Qianyan Jing
Zongyuan Sun
44
138
0
06 Apr 2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for
  On-Device Acoustic Anomaly Detection
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
Saad Abbasi
M. Famouri
M. Shafiee
A. Wong
16
25
0
31 Mar 2021
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
362
564
0
30 Mar 2021
Rethinking Neural Operations for Diverse Tasks
Rethinking Neural Operations for Diverse Tasks
Nicholas Roberts
M. Khodak
Tri Dao
Liam Li
Christopher Ré
Ameet Talwalkar
AI4CE
36
22
0
29 Mar 2021
Visionary: Vision architecture discovery for robot learning
Visionary: Vision architecture discovery for robot learning
Iretiayo Akinola
A. Angelova
Yao Lu
Yevgen Chebotar
Dmitry Kalashnikov
Jacob Varley
Julian Ibarz
Michael S. Ryoo
24
10
0
26 Mar 2021
On Evolving Attention Towards Domain Adaptation
On Evolving Attention Towards Domain Adaptation
Kekai Sheng
Ke Li
Xiawu Zheng
Jian Liang
Weiming Dong
Feiyue Huang
Rongrong Ji
Xing Sun
36
7
0
25 Mar 2021
Fisher Task Distance and Its Application in Neural Architecture Search
Fisher Task Distance and Its Application in Neural Architecture Search
Cat P. Le
Mohammadreza Soltani
Juncheng Dong
Vahid Tarokh
FedML
24
8
0
23 Mar 2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely
  Self-supervised Neural Architecture Search
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Changlin Li
Tao Tang
Guangrun Wang
Jiefeng Peng
Bing Wang
Xiaodan Liang
Xiaojun Chang
ViT
46
105
0
23 Mar 2021
Prioritized Architecture Sampling with Monto-Carlo Tree Search
Prioritized Architecture Sampling with Monto-Carlo Tree Search
Xiu Su
Tao Huang
Yanxi Li
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
19
49
0
22 Mar 2021
AutoSpace: Neural Architecture Search with Less Human Interference
AutoSpace: Neural Architecture Search with Less Human Interference
Daquan Zhou
Xiaojie Jin
Xiaochen Lian
Linjie Yang
Yujing Xue
Qibin Hou
Jiashi Feng
26
10
0
22 Mar 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Katie Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
50
106
0
19 Mar 2021
Is it enough to optimize CNN architectures on ImageNet?
Is it enough to optimize CNN architectures on ImageNet?
Lukas Tuggener
Jürgen Schmidhuber
Thilo Stadelmann
33
23
0
16 Mar 2021
Searching by Generating: Flexible and Efficient One-Shot NAS with
  Architecture Generator
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
Sian-Yao Huang
W. Chu
14
25
0
12 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual
  Recognition
Involution: Inverting the Inherence of Convolution for Visual Recognition
Duo Li
Jie Hu
Changhu Wang
Xiangtai Li
Qi She
Lei Zhu
Tong Zhang
Qifeng Chen
BDL
19
304
0
10 Mar 2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object
  Detection
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Tingting Liang
Yongtao Wang
Zhi Tang
Guosheng Hu
Haibin Ling
ObjD
18
50
0
08 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
39
54
0
05 Mar 2021
Coordinate Attention for Efficient Mobile Network Design
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou
Daquan Zhou
Jiashi Feng
22
2,944
0
04 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
75
980
0
03 Mar 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space
  Search
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search
Kartik Hegde
Po-An Tsai
Sitao Huang
Vikas Chandra
A. Parashar
Christopher W. Fletcher
26
90
0
02 Mar 2021
Multi-Objective Evolutionary Design of Composite Data-Driven Models
Multi-Objective Evolutionary Design of Composite Data-Driven Models
Iana S. Polonskaia
Nikolay O. Nikitin
I. Revin
Pavel Vychuzhanin
Anna V. Kaluzhnaya
9
9
0
01 Mar 2021
SparseBERT: Rethinking the Importance Analysis in Self-attention
SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi
Jiahui Gao
Xiaozhe Ren
Hang Xu
Xiaodan Liang
Zhenguo Li
James T. Kwok
23
54
0
25 Feb 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
38
41
0
21 Feb 2021
Towards Accurate and Compact Architectures via Neural Architecture
  Transformer
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Yong Guo
Yin Zheng
Mingkui Tan
Qi Chen
Zhipeng Li
Jian Chen
P. Zhao
Junzhou Huang
ViT
MQ
16
38
0
20 Feb 2021
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Yanqi Zhou
Xuanyi Dong
Berkin Akin
Mingxing Tan
Daiyi Peng
Tianjian Meng
Amir Yazdanbakhsh
Da Huang
Ravi Narayanaswami
James Laudon
60
26
0
17 Feb 2021
Neuroevolution in Deep Learning: The Role of Neutrality
Neuroevolution in Deep Learning: The Role of Neutrality
E. López
16
4
0
16 Feb 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang
Chengyue Gong
Meng Li
Qiang Liu
Vikas Chandra
155
44
0
16 Feb 2021
VA-RED$^2$: Video Adaptive Redundancy Reduction
VA-RED2^22: Video Adaptive Redundancy Reduction
Bowen Pan
Yikang Shen
Camilo Luciano Fosco
Chung-Ching Lin
A. Andonian
Yue Meng
Kate Saenko
A. Oliva
Rogerio Feris
15
19
0
15 Feb 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan
Kaiqiang Song
Z. Feng
Mi Zhang
22
24
0
14 Feb 2021
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in
  Low-power Edge Devices
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices
Nafiul Rashid
B. U. Demirel
Mohammad Abdullah Al Faruque
21
73
0
03 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
59
222
0
27 Jan 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
Kaoutar El Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
34
96
0
22 Jan 2021
Learnable Embedding Sizes for Recommender Systems
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
59
83
0
19 Jan 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K
  Recommendation
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen Ma
Liheng Ma
Yingxue Zhang
Ruiming Tang
Xue Liu
Mark J. Coates
53
49
0
13 Jan 2021
Unchain the Search Space with Hierarchical Differentiable Architecture
  Search
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Guanting Liu
Yujie Zhong
Sheng Guo
Matthew R. Scott
Weilin Huang
AI4CE
21
2
0
11 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
76
56
0
05 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization
BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai
Wei Zhang
Lu Hou
Lifeng Shang
Jing Jin
Xin Jiang
Qun Liu
Michael Lyu
Irwin King
MQ
142
221
0
31 Dec 2020
Inception Convolution with Efficient Dilation Search
Inception Convolution with Efficient Dilation Search
Jie Liu
Chuming Li
Feng Liang
Chen Lin
Ming Sun
Junjie Yan
Wanli Ouyang
Dong Xu
39
27
0
25 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
22
4
0
24 Dec 2020
On the performance of deep learning for numerical optimization: an
  application to protein structure prediction
On the performance of deep learning for numerical optimization: an application to protein structure prediction
H. Rakhshani
L. Idoumghar
Soheila Ghambari
Julien Lepagnot
Mathieu Brévilliers
19
9
0
17 Dec 2020
Previous
123...101112...151617
Next