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Once-for-All: Train One Network and Specialize it for Efficient
  Deployment

Once-for-All: Train One Network and Specialize it for Efficient Deployment

26 August 2019
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
    OOD
ArXivPDFHTML

Papers citing "Once-for-All: Train One Network and Specialize it for Efficient Deployment"

50 / 257 papers shown
Title
LightTrack: Finding Lightweight Neural Networks for Object Tracking via
  One-Shot Architecture Search
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
B. Yan
Houwen Peng
Kan Wu
Dong Wang
Jianlong Fu
Huchuan Lu
36
164
0
29 Apr 2021
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
A Survey of Modern Deep Learning based Object Detection Models
A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi
M. S. Ansari
Asra Aslam
N. Kanwal
M. Asghar
Brian Lee
VLM
ObjD
67
728
0
24 Apr 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
181
687
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
MobileStyleGAN: A Lightweight Convolutional Neural Network for
  High-Fidelity Image Synthesis
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis
Sergei Belousov
GAN
35
20
0
10 Apr 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
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
Revisiting Dynamic Convolution via Matrix Decomposition
Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Ye Yu
Lu Yuan
Zicheng Liu
Mei Chen
Nuno Vasconcelos
32
67
0
15 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
Quantization-Guided Training for Compact TinyML Models
Quantization-Guided Training for Compact TinyML Models
Sedigh Ghamari
Koray Ozcan
Thu Dinh
A. Melnikov
Juan Carvajal
Jan Ernst
S. Chai
MQ
21
16
0
10 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
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
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
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
47
212
0
08 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
19
73
0
03 Feb 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning
AACP: Model Compression by Accurate and Automatic Channel Pruning
Lanbo Lin
Yujiu Yang
Zhenhua Guo
MQ
22
12
0
31 Jan 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
674
0
24 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
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
Generalized Latency Performance Estimation for Once-For-All Neural
  Architecture Search
Generalized Latency Performance Estimation for Once-For-All Neural Architecture Search
Muhtadyuzzaman Syed
A. Srinivasan
16
9
0
04 Jan 2021
Inception Convolution with Efficient Dilation Search
Inception Convolution with Efficient Dilation Search
Jie Liu
Chuming Li
Feng Liang
Chen Lin
Ming-hui Sun
Junjie Yan
Wanli Ouyang
Dong Xu
39
27
0
25 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs
MicroNet: Towards Image Recognition with Extremely Low FLOPs
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Lei Zhang
Nuno Vasconcelos
30
25
0
24 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation
Scaling Wide Residual Networks for Panoptic Segmentation
Liang-Chieh Chen
Huiyu Wang
Siyuan Qiao
SSeg
27
47
0
23 Nov 2020
Learnable Boundary Guided Adversarial Training
Learnable Boundary Guided Adversarial Training
Jiequan Cui
Shu Liu
Liwei Wang
Jiaya Jia
OOD
AAML
24
124
0
23 Nov 2020
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art
  Binarized Neural Networks
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
T. Bannink
Arash Bakhtiari
Adam Hillier
Lukas Geiger
T. D. Bruin
Leon Overweel
J. Neeven
K. Helwegen
3DV
MQ
13
36
0
18 Nov 2020
Once Quantization-Aware Training: High Performance Extremely Low-bit
  Architecture Search
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search
Mingzhu Shen
Feng Liang
Ruihao Gong
Yuhang Li
Chuming Li
Chen Lin
F. Yu
Junjie Yan
Wanli Ouyang
MQ
28
36
0
09 Oct 2020
Binary Neural Networks for Memory-Efficient and Effective Visual Place
  Recognition in Changing Environments
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments
Bruno Ferrarini
Michael Milford
Klaus D. McDonald-Maier
Shoaib Ehsan
MQ
25
22
0
01 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
Jaeseong Lee
Duseok Kang
S. Ha
35
10
0
04 Sep 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang
Zhijian Liu
Shengyu Zhao
Yujun Lin
Ji Lin
Hanrui Wang
Song Han
3DPC
39
631
0
31 Jul 2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural
  Architecture Search
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Zhichao Lu
Kalyanmoy Deb
E. Goodman
W. Banzhaf
Vishnu Naresh Boddeti
26
144
0
20 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin
Wei-Ming Chen
Yujun Lin
J. Cohn
Chuang Gan
Song Han
59
475
0
20 Jul 2020
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation
Efthymios Tzinis
Zhepei Wang
Paris Smaragdis
30
127
0
14 Jul 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
25
48
0
18 Jun 2020
On the Predictability of Pruning Across Scales
On the Predictability of Pruning Across Scales
Jonathan S. Rosenfeld
Jonathan Frankle
Michael Carbin
Nir Shavit
14
37
0
18 Jun 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization
  Policy
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Tianzhe Wang
Kuan-Chieh Jackson Wang
Han Cai
Ji Lin
Zhijian Liu
Song Han
MQ
39
174
0
15 Jun 2020
Are we done with ImageNet?
Are we done with ImageNet?
Lucas Beyer
Olivier J. Hénaff
Alexander Kolesnikov
Xiaohua Zhai
Aaron van den Oord
VLM
19
396
0
12 Jun 2020
Few-shot Neural Architecture Search
Few-shot Neural Architecture Search
Yiyang Zhao
Linnan Wang
Yuandong Tian
Rodrigo Fonseca
Tian Guo
23
90
0
11 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
21
16
0
10 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
48
653
0
01 Jun 2020
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass
  Lens
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
Zhaohui Yang
Yunhe Wang
Xinghao Chen
Jianyuan Guo
Wei Zhang
Chao Xu
Chunjing Xu
Dacheng Tao
Chang Xu
34
17
0
29 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
Xinming Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
47
18
0
18 May 2020
Angle-based Search Space Shrinking for Neural Architecture Search
Angle-based Search Space Shrinking for Neural Architecture Search
Yiming Hu
Yuding Liang
Zichao Guo
Ruosi Wan
Xinming Zhang
Yichen Wei
Qingyi Gu
Jian Sun
24
62
0
28 Apr 2020
Computation on Sparse Neural Networks: an Inspiration for Future
  Hardware
Computation on Sparse Neural Networks: an Inspiration for Future Hardware
Fei Sun
Minghai Qin
Tianyun Zhang
Liu Liu
Yen-kuang Chen
Yuan Xie
29
7
0
24 Apr 2020
ResNeSt: Split-Attention Networks
ResNeSt: Split-Attention Networks
Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Yanghua Peng
...
Tong He
Jonas W. Mueller
R. Manmatha
Mu Li
Alex Smola
51
1,462
0
19 Apr 2020
Evolving Normalization-Activation Layers
Evolving Normalization-Activation Layers
Hanxiao Liu
Andrew Brock
Karen Simonyan
Quoc V. Le
12
79
0
06 Apr 2020
GAN Compression: Efficient Architectures for Interactive Conditional
  GANs
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Muyang Li
Ji Lin
Yaoyao Ding
Zhijian Liu
Jun-Yan Zhu
Song Han
GAN
22
2
0
19 Mar 2020
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