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Efficient Neural Architecture Search via Parameter Sharing
v1v2 (latest)

Efficient Neural Architecture Search via Parameter Sharing

9 February 2018
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
ArXiv (abs)PDFHTML

Papers citing "Efficient Neural Architecture Search via Parameter Sharing"

50 / 1,388 papers shown
Title
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
Guohao Ying
Xin He
Bin-Bin Gao
Bo Han
Xiaowen Chu
70
16
0
30 Nov 2021
Searching the Search Space of Vision Transformer
Searching the Search Space of Vision Transformer
Minghao Chen
Kan Wu
Bolin Ni
Houwen Peng
Bei Liu
Jianlong Fu
Hongyang Chao
Haibin Ling
ViT
95
53
0
29 Nov 2021
Mixed Precision Low-bit Quantization of Neural Network Language Models
  for Speech Recognition
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition
Junhao Xu
Jianwei Yu
Shoukang Hu
Xunying Liu
Helen Meng
MQ
107
15
0
29 Nov 2021
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image
  Prior
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
Metin Ersin Arican
Ozgur Kara
G. Bredell
E. Konukoglu
75
17
0
27 Nov 2021
KNAS: Green Neural Architecture Search
KNAS: Green Neural Architecture Search
Jingjing Xu
Liang Zhao
Junyang Lin
Rundong Gao
Xu Sun
Hongxia Yang
80
59
0
26 Nov 2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning
  Rule
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Miao Zhang
Jilin Hu
Steven W. Su
Shirui Pan
Xiaojun Chang
B. Yang
Gholamreza Haffari
OOD
115
15
0
25 Nov 2021
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture
  Search
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search
Qian Jiang
Xiaofan Zhang
Deming Chen
Minh Do
Raymond A. Yeh
82
7
0
24 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks
Sharpness-aware Quantization for Deep Neural Networks
Jing Liu
Jianfei Cai
Bohan Zhuang
MQ
157
25
0
24 Nov 2021
Fast and Data-Efficient Training of Rainbow: an Experimental Study on
  Atari
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari
Dominik Schmidt
Thomas Schmied
OffRL
61
12
0
19 Nov 2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural
  Architecture Search
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
Zixiang Ding
Yaran Chen
Nannan Li
Dong Zhao
C. L. Philip Chen
51
9
0
15 Nov 2021
Searching for TrioNet: Combining Convolution with Local and Global
  Self-Attention
Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
Huaijin Pi
Huiyu Wang
Yingwei Li
Zizhang Li
Alan Yuille
ViT
81
3
0
15 Nov 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation using
  Transformers in 3D Medical Imaging
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
Dong Yang
Andriy Myronenko
Xiaosong Wang
Ziyue Xu
H. Roth
Daguang Xu
ViTMedIm3DV
66
24
0
15 Nov 2021
Full-attention based Neural Architecture Search using Context
  Auto-regression
Full-attention based Neural Architecture Search using Context Auto-regression
Yuan Zhou
Haiyang Wang
Shuwei Huo
Boyu Wang
67
3
0
13 Nov 2021
Towards One Shot Search Space Poisoning in Neural Architecture Search
Towards One Shot Search Space Poisoning in Neural Architecture Search
Nayan Saxena
Robert Wu
Rohan Jain
AAML
8
1
0
13 Nov 2021
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent
  Fault Diagnosis
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis
Arun K. Sharma
N. Verma
104
2
0
12 Nov 2021
Learning from Mistakes -- A Framework for Neural Architecture Search
Learning from Mistakes -- A Framework for Neural Architecture Search
Bhanu Garg
Li Zhang
Pradyumna Sridhara
Ramtin Hosseini
Eric P. Xing
P. Xie
64
9
0
11 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
167
103
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
88
7
0
08 Nov 2021
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
203
84
0
08 Nov 2021
An Approach for Combining Multimodal Fusion and Neural Architecture
  Search Applied to Knowledge Tracing
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing
Xinyi Ding
Tao Han
Yili Fang
Eric C. Larson
64
6
0
08 Nov 2021
TND-NAS: Towards Non-differentiable Objectives in Progressive
  Differentiable NAS Framework
TND-NAS: Towards Non-differentiable Objectives in Progressive Differentiable NAS Framework
Bo Lyu
S. Wen
114
2
0
06 Nov 2021
NAS-Bench-x11 and the Power of Learning Curves
NAS-Bench-x11 and the Power of Learning Curves
Shen Yan
Colin White
Yash Savani
Frank Hutter
69
28
0
05 Nov 2021
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture
  Family
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family
Roy Henha Eyono
Fabio Maria Carlucci
P. Esperança
Binxin Ru
Phillip Torr
71
3
0
05 Nov 2021
RT-RCG: Neural Network and Accelerator Search Towards Effective and
  Real-time ECG Reconstruction from Intracardiac Electrograms
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms
Yongan Zhang
Anton Banta
Yonggan Fu
M. John
A. Post
M. Razavi
Joseph R. Cavallaro
B. Aazhang
Yingyan Lin
57
4
0
04 Nov 2021
Communication-Efficient Separable Neural Network for Distributed
  Inference on Edge Devices
Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices
Jun-Liang Lin
Sheng-De Wang
42
0
0
03 Nov 2021
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
Guanghua Yu
Qinyao Chang
Wenyu Lv
Chang Xu
Cheng Cui
...
Baohua Lai
Qiwen Liu
Xiaoguang Hu
Dianhai Yu
Yanjun Ma
ObjD
124
127
0
01 Nov 2021
Guided Evolution for Neural Architecture Search
Guided Evolution for Neural Architecture Search
Vasco Lopes
Miguel Santos
Bruno Degardin
Luís A. Alexandre
66
9
0
28 Oct 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the
  Edge
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
102
98
0
26 Oct 2021
Learning Graph Representation of Person-specific Cognitive Processes
  from Audio-visual Behaviours for Automatic Personality Recognition
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition
Siyang Song
Zilong Shao
S. Jaiswal
Linlin Shen
Michel Valstar
Hatice Gunes
131
8
0
26 Oct 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in Science
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
94
72
0
25 Oct 2021
The Efficiency Misnomer
The Efficiency Misnomer
Daoyuan Chen
Liuyi Yao
Dawei Gao
Ashish Vaswani
Yaliang Li
109
103
0
25 Oct 2021
NAS-FCOS: Efficient Search for Object Detection Architectures
NAS-FCOS: Efficient Search for Object Detection Architectures
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
122
19
0
24 Oct 2021
Towards a Robust Differentiable Architecture Search under Label Noise
Towards a Robust Differentiable Architecture Search under Label Noise
Christian Simon
Piotr Koniusz
L. Petersson
Yan Han
Mehrtash Harandi
NoLaAAMLOOD
41
4
0
23 Oct 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian
  Optimization with Zero-cost Proxies
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Yu Shen
Yang Li
Jian Zheng
Wentao Zhang
Peng Yao
Jixiang Li
Sen Yang
Ji Liu
Cui Bin
AI4CE
151
30
0
20 Oct 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of
  Convolutional Neural Network Architecture and Training Hyperparameters
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
Yoichi Hirose
Nozomu Yoshinari
Shinichi Shirakawa
63
13
0
19 Oct 2021
NeuralArTS: Structuring Neural Architecture Search with Type Theory
NeuralArTS: Structuring Neural Architecture Search with Type Theory
Robert Wu
Nayan Saxena
Rohan Jain
30
0
0
17 Oct 2021
GradSign: Model Performance Inference with Theoretical Insights
GradSign: Model Performance Inference with Theoretical Insights
Zhihao Zhang
Zhihao Jia
80
24
0
16 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical
  Improvements
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
114
7
0
16 Oct 2021
DPNAS: Neural Architecture Search for Deep Learning with Differential
  Privacy
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Anda Cheng
Jiaxing Wang
Xi Sheryl Zhang
Qiang Chen
Peisong Wang
Jian Cheng
83
29
0
16 Oct 2021
Joint Channel and Weight Pruning for Model Acceleration on Moblie
  Devices
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao
Xi Sheryl Zhang
Wentao Zhu
Jiaxing Wang
Sen Yang
Ji Liu
Jian Cheng
88
2
0
15 Oct 2021
CONetV2: Efficient Auto-Channel Size Optimization for CNNs
CONetV2: Efficient Auto-Channel Size Optimization for CNNs
Yi Ru Wang
Samir Khaki
Weihang Zheng
Mahdi S. Hosseini
Konstantinos N. Plataniotis
107
6
0
13 Oct 2021
Improving the sample-efficiency of neural architecture search with
  reinforcement learning
Improving the sample-efficiency of neural architecture search with reinforcement learning
A. Nagy
Ábel Boros
118
3
0
13 Oct 2021
A Review of the Deep Sea Treasure problem as a Multi-Objective
  Reinforcement Learning Benchmark
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
Thomas Cassimon
Reinout Eyckerman
Siegfried Mercelis
Steven Latré
P. Hellinckx
59
0
0
13 Oct 2021
On the Security Risks of AutoML
On the Security Risks of AutoML
Ren Pang
Zhaohan Xi
S. Ji
Xiapu Luo
Ting Wang
AAML
54
10
0
12 Oct 2021
Across-Task Neural Architecture Search via Meta Learning
Across-Task Neural Architecture Search via Meta Learning
Jingtao Rong
Xinyi Yu
Mingyang Zhang
L. Ou
65
1
0
12 Oct 2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks
Renbo Tu
Nicholas Roberts
M. Khodak
Jun Shen
Frederic Sala
Ameet Talwalkar
70
35
0
12 Oct 2021
Neural Architecture Search for Efficient Uncalibrated Deep Photometric
  Stereo
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
Francesco Sarno
Suryansh Kumar
Berk Kaya
Zhiwu Huang
V. Ferrari
Luc Van Gool
68
8
0
11 Oct 2021
ZARTS: On Zero-order Optimization for Neural Architecture Search
ZARTS: On Zero-order Optimization for Neural Architecture Search
Xiaoxing Wang
Wenxuan Guo
Junchi Yan
Jianlin Su
Xiaokang Yang
77
25
0
10 Oct 2021
Designing the Architecture of a Convolutional Neural Network
  Automatically for Diabetic Retinopathy Diagnosis
Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
Fahman Saeed
M. Hussain
Hatim Aboalsamh
Fadwa Al Adel
A. Owaifeer
110
6
0
08 Oct 2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint
  Search
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Jiaqi Li
Haoran Li
Yaran Chen
Zixiang Ding
Nannan Li
Mingjun Ma
Zicheng Duan
Dong Zhao
65
9
0
08 Oct 2021
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