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. 2010.14778
  4. Cited By
DNA: Differentiable Network-Accelerator Co-Search

DNA: Differentiable Network-Accelerator Co-Search

28 October 2020
Yongan Zhang
Y. Fu
Weiwen Jiang
Chaojian Li
Haoran You
Meng Li
Vikas Chandra
Yingyan Lin
ArXivPDFHTML

Papers citing "DNA: Differentiable Network-Accelerator Co-Search"

11 / 11 papers shown
Title
NASH: Neural Architecture and Accelerator Search for
  Multiplication-Reduced Hybrid Models
NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models
Yang Xu
Huihong Shi
Zhongfeng Wang
37
0
0
07 Sep 2024
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
Chaojian Li
Wenwan Chen
Jiayi Yuan
Yingyan Lin
Ashutosh Sabharwal
23
0
0
19 Mar 2023
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring
Yash Akhauri
J. P. Muñoz
Nilesh Jain
Ravi Iyer
46
13
0
15 Sep 2022
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Katie Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
44
12
0
11 Sep 2021
RHNAS: Realizable Hardware and Neural Architecture Search
RHNAS: Realizable Hardware and Neural Architecture Search
Yash Akhauri
Adithya Niranjan
J. P. Muñoz
Suvadeep Banerjee
A. Davare
P. Cocchini
A. Sorokin
R. Iyer
Nilesh Jain
14
3
0
17 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via
  Meta-Learning
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee
Sewoong Lee
Song Chong
S. Hwang
13
26
0
16 Jun 2021
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
Yonggan Fu
Yongan Zhang
Chaojian Li
Zhongzhi Yu
Yingyan Lin
23
6
0
11 Jun 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
36
105
0
19 Mar 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
A Comprehensive Survey on Hardware-Aware Neural Architecture Search
Hadjer Benmeziane
K. E. Maghraoui
Hamza Ouarnoughi
Smail Niar
Martin Wistuba
Naigang Wang
28
96
0
22 Jan 2021
When Machine Learning Meets Quantum Computers: A Case Study
When Machine Learning Meets Quantum Computers: A Case Study
Weiwen Jiang
Jinjun Xiong
Yiyu Shi
29
28
0
18 Dec 2020
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep
  Neural Networks
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks
Fuxun Yu
Dimitrios Stamoulis
Di Wang
Dimitrios Lymberopoulos
Xiang Chen
3DV
11
1
0
22 Nov 2020
1