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. 2008.01475
  4. Cited By
Weight-Sharing Neural Architecture Search: A Battle to Shrink the
  Optimization Gap

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap

4 August 2020
Lingxi Xie
Xin Chen
Kaifeng Bi
Longhui Wei
Yuhui Xu
Zhengsu Chen
Lanfei Wang
Anxiang Xiao
Jianlong Chang
Xiaopeng Zhang
Qi Tian
    ViT
ArXivPDFHTML

Papers citing "Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap"

27 / 27 papers shown
Title
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
X. Wang
Haoyang Li
Zeyang Zhang
H. Chen
Wenwu Zhu
LRM
77
0
0
28 Apr 2025
Combining Neural Architecture Search and Automatic Code Optimization: A
  Survey
Combining Neural Architecture Search and Automatic Code Optimization: A Survey
Inas Bachiri
Hadjer Benmeziane
Smail Niar
Riyadh Baghdadi
Hamza Ouarnoughi
Abdelkrime Aries
38
0
0
07 Aug 2024
A priori compression of convolutional neural networks for wave
  simulators
A priori compression of convolutional neural networks for wave simulators
Hamza Boukraichi
N. Akkari
F. Casenave
David Ryckelynck
18
2
0
11 Apr 2023
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
28
17
0
15 Feb 2022
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
15
2
0
25 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
13
2
0
06 Nov 2021
L$^{2}$NAS: Learning to Optimize Neural Architectures via
  Continuous-Action Reinforcement Learning
L2^{2}2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
Keith G. Mills
Fred X. Han
Mohammad Salameh
Seyed Saeed Changiz Rezaei
Linglong Kong
Wei Lu
Shuo Lian
Shangling Jui
Di Niu
10
10
0
25 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy,
  Hyper-parameter and Architecture
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
Kaichen Zhou
Lanqing Hong
Shuailiang Hu
Fengwei Zhou
Binxin Ru
Jiashi Feng
Zhenguo Li
43
10
0
13 Sep 2021
FEAR: A Simple Lightweight Method to Rank Architectures
FEAR: A Simple Lightweight Method to Rank Architectures
Debadeepta Dey
Shital C. Shah
Sébastien Bubeck
OOD
14
4
0
07 Jun 2021
What Is Considered Complete for Visual Recognition?
What Is Considered Complete for Visual Recognition?
Lingxi Xie
Xiaopeng Zhang
Longhui Wei
Jianlong Chang
Qi Tian
VLM
14
4
0
28 May 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
25
7
0
06 Apr 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
17
24
0
14 Feb 2021
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep
  Unfolding Network
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network
Qiang Ning
W. Dong
Guangming Shi
Leida Li
Xin Li
17
44
0
14 Sep 2020
Cyclic Differentiable Architecture Search
Cyclic Differentiable Architecture Search
Hongyuan Yu
Houwen Peng
Yan Huang
Jianlong Fu
Hao Du
Liang Wang
Haibin Ling
3DPC
19
48
0
18 Jun 2020
Learning Dynamic Routing for Semantic Segmentation
Learning Dynamic Routing for Semantic Segmentation
Yanwei Li
Lin Song
Yukang Chen
Zeming Li
X. Zhang
Xingang Wang
Jian-jun Sun
SSeg
80
161
0
23 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs
Probabilistic Dual Network Architecture Search on Graphs
Yiren Zhao
Duo Wang
Xitong Gao
Robert D. Mullins
Pietro Lió
M. Jamnik
GNN
AI4CE
43
27
0
21 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
84
598
0
13 Mar 2020
Hierarchical Neural Architecture Search for Single Image
  Super-Resolution
Hierarchical Neural Architecture Search for Single Image Super-Resolution
Yong Guo
Yongsheng Luo
Zhenhao He
Jin Huang
Jian Chen
SupR
54
49
0
10 Mar 2020
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture
  Search
ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search
Xu Zhang
Chenjun Zhou
Bo Gu
20
1
0
03 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural
  Architecture Search
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
Arber Zela
Julien N. Siems
Frank Hutter
72
147
0
28 Jan 2020
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
56
178
0
07 Sep 2019
IRLAS: Inverse Reinforcement Learning for Architecture Search
IRLAS: Inverse Reinforcement Learning for Architecture Search
Minghao Guo
Zhaobai Zhong
Wei Yu Wu
Dahua Lin
Junjie Yan
3DV
37
37
0
13 Dec 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
117
498
0
24 Apr 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
243
891
0
11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,196
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
1