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. 1901.11211
  4. Cited By
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation
  Aware Neural Architecture Search

Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

31 January 2019
Weiwen Jiang
Xinyi Zhang
E. Sha
Lei Yang
Qingfeng Zhuge
Yiyu Shi
Jiaxi Hu
ArXivPDFHTML

Papers citing "Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search"

38 / 38 papers shown
Title
Accelerate Intermittent Deep Inference
Accelerate Intermittent Deep Inference
Ziliang Zhang
23
0
0
01 Jul 2024
On-Device Unsupervised Image Segmentation
On-Device Unsupervised Image Segmentation
Junhuan Yang
Yi Sheng
Yu-zhao Zhang
Weiwen Jiang
Lei Yang
30
12
0
24 Feb 2023
Enabling Hard Constraints in Differentiable Neural Network and
  Accelerator Co-Exploration
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Deokki Hong
Kanghyun Choi
Hyeyoon Lee
Joonsang Yu
Noseong Park
Youngsok Kim
Jinho Lee
19
3
0
23 Jan 2023
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive
  RAM-based Neural Network Accelerators
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
Aditya Manglik
Minesh Patel
Haiyu Mao
Behzad Salami
Jisung Park
Lois Orosa
O. Mutlu
20
1
0
10 Nov 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint
  Optimization for Adversarial Robustness and Hardware Efficiency of
  Convolutional and Capsule Networks
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
Alberto Marchisio
Vojtěch Mrázek
Andrea Massa
Beatrice Bussolino
Maurizio Martina
Mohamed Bennai
AAML
46
5
0
11 Oct 2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
Hongwu Peng
Shangli Zhou
Yukui Luo
Shijin Duan
Nuo Xu
...
Tong Geng
Ang Li
Wujie Wen
Xiaolin Xu
Caiwen Ding
44
3
0
20 Sep 2022
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
Zhewen Yu
C. Bouganis
37
4
0
22 Aug 2022
Quantum Neural Network Compression
Quantum Neural Network Compression
Zhirui Hu
Peiyan Dong
Zhepeng Wang
Youzuo Lin
Yanzhi Wang
Weiwen Jiang
GNN
27
28
0
04 Jul 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
34
118
0
29 May 2022
A Collaboration Strategy in the Mining Pool for
  Proof-of-Neural-Architecture Consensus
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus
Boyang Albert Li
Qing Lu
Weiwen Jiang
Taeho Jung
Yiyu Shi
36
5
0
05 May 2022
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient
  TinyML
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML
Yuhong Song
E. Sha
Qingfeng Zhuge
Rui-Xue Xu
Yong-Zhong Zhang
Bingzhe Li
Lei Yang
19
3
0
12 Nov 2021
Accelerating Framework of Transformer by Hardware Design and Model
  Compression Co-Optimization
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization
Panjie Qi
E. Sha
Qingfeng Zhuge
Hongwu Peng
Shaoyi Huang
Zhenglun Kong
Yuhong Song
Bingbing Li
11
50
0
19 Oct 2021
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable
  Neural Architecture Search
RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
Zheyu Yan
Weiwen Jiang
X. S. Hu
Yiyu Shi
56
10
0
13 Sep 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study
  on QuantumFlow
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow
Zhiding Liang
Zhepeng Wang
Junhuan Yang
Lei Yang
Jinjun Xiong
Y. Shi
Weiwen Jiang
38
37
0
08 Sep 2021
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural
  Accelerators with Application to Neural Architecture Search
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search
Zheyu Yan
Da-Cheng Juan
X. S. Hu
Yiyu Shi
38
26
0
06 Jul 2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective
  Data Contrast
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
41
28
0
07 Jun 2021
HAO: Hardware-aware neural Architecture Optimization for Efficient
  Inference
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference
Zhen Dong
Yizhao Gao
Qijing Huang
J. Wawrzynek
Hayden Kwok-Hay So
Kurt Keutzer
19
35
0
26 Apr 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
58
35
0
25 Mar 2021
Dancing along Battery: Enabling Transformer with Run-time
  Reconfigurability on Mobile Devices
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices
Yuhong Song
Weiwen Jiang
Bingbing Li
Panjie Qi
Qingfeng Zhuge
E. Sha
Sakyasingha Dasgupta
Yiyu Shi
Caiwen Ding
18
18
0
12 Feb 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
98
0
22 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
40
2
0
04 Jan 2021
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
Mohamed Bennai
BDL
59
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
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
44
79
0
17 Sep 2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture
  Co-Search with Hot Start
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start
Weiwen Jiang
Lei Yang
Sakyasingha Dasgupta
Jiaxi Hu
Yiyu Shi
27
59
0
17 Jul 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering
  and Error Map Pruning
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
Yawen Wu
Zhepeng Wang
Yiyu Shi
Jiaxi Hu
24
44
0
07 Jul 2020
A Co-Design Framework of Neural Networks and Quantum Circuits Towards
  Quantum Advantage
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage
Weiwen Jiang
Jinjun Xiong
Yiyu Shi
18
76
0
26 Jun 2020
EDD: Efficient Differentiable DNN Architecture and Implementation
  Co-search for Embedded AI Solutions
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
Yuhong Li
Cong Hao
Xiaofan Zhang
Xinheng Liu
Yao Chen
Jinjun Xiong
Wen-mei W. Hwu
Deming Chen
40
77
0
06 May 2020
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator
  Design and Implementation
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation
Hanchen Ye
Xiaofan Zhang
Zhize Huang
Gengsheng Chen
Deming Chen
46
61
0
08 Apr 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC
  Accelerator Designs Targeting Multiple Tasks
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks
Lei Yang
Zheyu Yan
Meng Li
Hyoukjun Kwon
Liangzhen Lai
T. Krishna
Vikas Chandra
Weiwen Jiang
Yiyu Shi
32
115
0
10 Feb 2020
NASS: Optimizing Secure Inference via Neural Architecture Search
NASS: Optimizing Secure Inference via Neural Architecture Search
S. Bian
Weiwen Jiang
Qing Lu
Yiyu Shi
Takashi Sato
21
25
0
30 Jan 2020
NAIS: Neural Architecture and Implementation Search and its Applications
  in Autonomous Driving
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
Cong Hao
Yao Chen
Xinheng Liu
A. Sarwari
Daryl Sew
...
Dongdong Fu
Jinjun Xiong
Wen-mei W. Hwu
Junli Gu
Deming Chen
3DV
22
22
0
18 Nov 2019
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory
  Neural Accelerators
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators
Weiwen Jiang
Qiuwen Lou
Zheyu Yan
Lei Yang
Jiaxi Hu
X. S. Hu
Yiyu Shi
16
72
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
24
64
0
31 Oct 2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on
  Embedded Systems
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Xiaofan Zhang
Haoming Lu
Cong Hao
Jiachen Li
Bowen Cheng
...
Jinjun Xiong
Thomas Huang
Humphrey Shi
Wen-mei W. Hwu
Deming Chen
39
92
0
20 Sep 2019
When Single Event Upset Meets Deep Neural Networks: Observations,
  Explorations, and Remedies
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies
Zheyu Yan
Yiyu Shi
Wang Liao
M. Hashimoto
Xichuan Zhou
Cheng Zhuo
AAML
14
48
0
10 Sep 2019
Machine Vision Guided 3D Medical Image Compression for Efficient
  Transmission and Accurate Segmentation in the Clouds
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Zihao Liu
Xiaowei Xu
Tao Liu
Qi Liu
Yanzhi Wang
Yiyu Shi
Wujie Wen
Meiping Huang
Haiyun Yuan
Jian Zhuang
18
33
0
09 Apr 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
1