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. 1902.07638
  4. Cited By
Random Search and Reproducibility for Neural Architecture Search

Random Search and Reproducibility for Neural Architecture Search

20 February 2019
Liam Li
Ameet Talwalkar
    OOD
ArXivPDFHTML

Papers citing "Random Search and Reproducibility for Neural Architecture Search"

50 / 115 papers shown
Title
Rethinking Architecture Selection in Differentiable NAS
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang
Minhao Cheng
Xiangning Chen
Xiaocheng Tang
Cho-Jui Hsieh
16
172
0
10 Aug 2021
Learning to Rank Ace Neural Architectures via Normalized Discounted
  Cumulative Gain
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain
Yuge Zhang
Quan Zhang
Li Lyna Zhang
Yaming Yang
Chenqian Yan
Xiaotian Gao
Yuqing Yang
27
0
0
06 Aug 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution
  Strategy
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy
Nilotpal Sinha
Kuan-Wen Chen
16
5
0
15 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
S. Hwang
40
43
0
02 Jul 2021
AutoFormer: Searching Transformers for Visual Recognition
AutoFormer: Searching Transformers for Visual Recognition
Minghao Chen
Houwen Peng
Jianlong Fu
Haibin Ling
ViT
36
259
0
01 Jul 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit
  Gradients
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang
Steven W. Su
Shirui Pan
Xiaojun Chang
Ehsan Abbasnejad
Reza Haffari
10
68
0
21 Jun 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections
  to Weight-Sharing
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
M. Khodak
Renbo Tu
Tian Li
Liam Li
Maria-Florina Balcan
Virginia Smith
Ameet Talwalkar
FedML
32
78
0
08 Jun 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
22
4
0
07 Jun 2021
FNAS: Uncertainty-Aware Fast Neural Architecture Search
FNAS: Uncertainty-Aware Fast Neural Architecture Search
Jihao Liu
Ming Zhang
Yangting Sun
B. Liu
Guanglu Song
Yu Liu
Hongsheng Li
26
7
0
25 May 2021
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
28
162
0
29 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
31
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
16
8
0
23 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
CATE: Computation-aware Neural Architecture Encoding with Transformers
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan
Kaiqiang Song
Z. Feng
Mi Zhang
22
24
0
14 Feb 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
26
95
0
22 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
68
56
0
05 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
Muhammad Shafique
BDL
50
140
0
21 Dec 2020
Chaos and Complexity from Quantum Neural Network: A study with Diffusion
  Metric in Machine Learning
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning
S. Choudhury
Ankan Dutta
Debisree Ray
22
21
0
16 Nov 2020
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Stella Biderman
Walter J. Scheirer
19
26
0
04 Nov 2020
Automated Concatenation of Embeddings for Structured Prediction
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang
Yong-jia Jiang
Nguyen Bach
Tao Wang
Zhongqiang Huang
Fei Huang
Kewei Tu
35
172
0
10 Oct 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
AlphaGAN: Fully Differentiable Architecture Search for Generative
  Adversarial Networks
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
21
32
0
16 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi
Arber Zela
T. Elsken
Chris Holmes
Frank Hutter
Yee Whye Teh
OOD
UQCV
13
71
0
15 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation
Multi-fidelity Neural Architecture Search with Knowledge Distillation
I. Trofimov
Nikita Klyuchnikov
Mikhail Salnikov
Alexander N. Filippov
Evgeny Burnaev
27
15
0
15 Jun 2020
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable
  Pruners
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners
Rob Geada
D. Prangle
A. Mcgough
3DPC
8
5
0
12 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Shen Yan
Yu Zheng
Wei Ao
Xiao Zeng
Mi Zhang
SSL
AI4CE
30
99
0
12 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
11
16
0
10 Jun 2020
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo-Lu Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
28
472
0
10 Jun 2020
Speedy Performance Estimation for Neural Architecture Search
Speedy Performance Estimation for Neural Architecture Search
Binxin Ru
Clare Lyle
Lisa Schut
M. Fil
Mark van der Wilk
Y. Gal
13
35
0
08 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
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
38
1,926
0
11 Apr 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Shan You
Tao Huang
Mingmin Yang
Fei-Yue Wang
Chao Qian
Changshui Zhang
22
143
0
25 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in
  Weight-Sharing NAS
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
19
34
0
09 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real
Chen Liang
David R. So
Quoc V. Le
37
220
0
06 Mar 2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining
DSNAS: Direct Neural Architecture Search without Parameter Retraining
Shou-Yong Hu
Sirui Xie
Hehui Zheng
Chunxiao Liu
Jianping Shi
Xunying Liu
Dahua Lin
11
130
0
21 Feb 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
25
44
0
17 Feb 2020
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
Aloïs Pourchot
Alexis Ducarouge
Olivier Sigaud
11
20
0
11 Feb 2020
Deeper Insights into Weight Sharing in Neural Architecture Search
Deeper Insights into Weight Sharing in Neural Architecture Search
Yuge Zhang
Zejun Lin
Junyan Jiang
Quanlu Zhang
Yujing Wang
Hui Xue
Chen Zhang
Yaming Yang
25
48
0
06 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture
  Search
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search
Xuanyi Dong
Yi Yang
29
695
0
02 Jan 2020
ResNetX: a more disordered and deeper network architecture
ResNetX: a more disordered and deeper network architecture
Wenfeng Feng
Xin Zhang
Guangpeng Zhao
24
2
0
18 Dec 2019
Neural Predictor for Neural Architecture Search
Neural Predictor for Neural Architecture Search
W. Wen
Hanxiao Liu
H. Li
Yiran Chen
Gabriel Bender
Pieter-Jan Kindermans
32
194
0
02 Dec 2019
The Design and Implementation of a Scalable DL Benchmarking Platform
The Design and Implementation of a Scalable DL Benchmarking Platform
Cheng-rong Li
Abdul Dakkak
Jinjun Xiong
Wen-mei W. Hwu
ALM
ELM
14
4
0
19 Nov 2019
Automatic Design of CNNs via Differentiable Neural Architecture Search
  for PolSAR Image Classification
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Hongwei Dong
Siyu Zhang
B. Zou
Lamei Zhang
6
47
0
16 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural
  Architecture Search
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White
W. Neiswanger
Yash Savani
BDL
26
313
0
25 Oct 2019
How does topology influence gradient propagation and model performance
  of deep networks with DenseNet-type skip connections?
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections?
Kartikeya Bhardwaj
Guihong Li
R. Marculescu
30
1
0
02 Oct 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search
ReNAS:Relativistic Evaluation of Neural Architecture Search
Yixing Xu
Yunhe Wang
Avishkar Bhoopchand
Christopher Mattern
A. Grabska-Barwinska
Chunjing Xu
Chang Xu
20
81
0
30 Sep 2019
Balanced One-shot Neural Architecture Optimization
Balanced One-shot Neural Architecture Optimization
Renqian Luo
Tao Qin
Enhong Chen
BDL
22
14
0
24 Sep 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
66
366
0
20 Sep 2019
Pose Neural Fabrics Search
Pose Neural Fabrics Search
Sen Yang
Wankou Yang
Zhen Cui
29
18
0
16 Sep 2019
Previous
123
Next