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. 1703.01513
  4. Cited By
Genetic CNN

Genetic CNN

4 March 2017
Lingxi Xie
Alan Yuille
    3DV
ArXivPDFHTML

Papers citing "Genetic CNN"

41 / 91 papers shown
Title
Rethinking Depthwise Separable Convolutions: How Intra-Kernel
  Correlations Lead to Improved MobileNets
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
D. Haase
Manuel Amthor
14
132
0
30 Mar 2020
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of
  Channels
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels
Zan Shen
Jiang Qian
Bojin Zhuang
Shaojun Wang
Jing Xiao
26
5
0
22 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
Evolutionary Optimization of Deep Learning Activation Functions
Evolutionary Optimization of Deep Learning Activation Functions
G. Bingham
William Macke
Risto Miikkulainen
ODL
13
50
0
17 Feb 2020
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation
Zhun Fan
Jiahong Wei
Guijie Zhu
Jiajie Mo
Wenji Li
19
8
0
18 Jan 2020
Latency-Aware Differentiable Neural Architecture Search
Latency-Aware Differentiable Neural Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Bowen Shi
Qi Tian
H. Xiong
OOD
19
33
0
17 Jan 2020
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
11
93
0
23 Dec 2019
Exploiting Operation Importance for Differentiable Neural Architecture
  Search
Exploiting Operation Importance for Differentiable Neural Architecture Search
Xukai Xie
Yuan Zhou
S. Kung
9
34
0
24 Nov 2019
Constrained deep neural network architecture search for IoT devices
  accounting hardware calibration
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
F. Scheidegger
Luca Benini
C. Bekas
A. Malossi
3DV
16
15
0
24 Sep 2019
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
58
178
0
07 Sep 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yifan Jiang
Zhangyang Wang
GAN
27
263
0
11 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
17
1,418
0
02 Aug 2019
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image
  Classification by Evolving and Stacking Transferable Blocks
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Bin Wang
Bing Xue
Mengjie Zhang
19
50
0
29 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
22
603
0
12 Jul 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Evolving Robust Neural Architectures to Defend from Adversarial Attacks
Shashank Kotyan
Danilo Vasconcellos Vargas
OOD
AAML
13
36
0
27 Jun 2019
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network
  Accelerators without Retraining
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining
Vojtěch Mrázek
Z. Vašíček
Lukás Sekanina
Muhammad Abdullah Hanif
Muhammad Shafique
11
92
0
11 Jun 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image
  Segmentation
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Zhuotun Zhu
Chenxi Liu
Dong Yang
Alan Yuille
Daguang Xu
23
104
0
06 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Keivan Alizadeh-Vahid
Anish K. Prabhu
Ali Farhadi
Mohammad Rastegari
22
50
0
05 Jun 2019
Multinomial Distribution Learning for Effective Neural Architecture
  Search
Multinomial Distribution Learning for Effective Neural Architecture Search
Xiawu Zheng
R. Ji
Lang Tang
Baochang Zhang
Jianzhuang Liu
Q. Tian
15
88
0
18 May 2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo
Xiangyu Zhang
Haoyuan Mu
Wen Heng
Zechun Liu
Yichen Wei
Jian-jun Sun
11
928
0
31 Mar 2019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections
  of Deep Convolutional Neural Networks
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
Bin Wang
Y. Sun
Bing Xue
Mengjie Zhang
14
30
0
10 Mar 2019
Overcoming Multi-Model Forgetting
Overcoming Multi-Model Forgetting
Yassine Benyahia
Kaicheng Yu
Kamil Bennani-Smires
Martin Jaggi
A. Davison
Mathieu Salzmann
C. Musat
MoMe
KELM
CLL
21
37
0
21 Feb 2019
Multi-Objective Reinforced Evolution in Mobile Neural Architecture
  Search
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search
Xiangxiang Chu
Bo Zhang
Ruijun Xu
Hailong Ma
23
98
0
04 Jan 2019
InstaNAS: Instance-aware Neural Architecture Search
InstaNAS: Instance-aware Neural Architecture Search
A. Cheng
Chieh Hubert Lin
Da-Cheng Juan
Wei Wei
Min Sun
20
46
0
26 Nov 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
11
273
0
12 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
8
1,449
0
11 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Naresh Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
23
81
0
08 Oct 2018
Automatically designing CNN architectures using genetic algorithm for
  image classification
Automatically designing CNN architectures using genetic algorithm for image classification
Y. Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
16
603
0
11 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian-jun Sun
18
4,921
0
30 Jul 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural
  Networks
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz
Nicolás Navarro-Guerrero
S. Magg
S. Wermter
11
104
0
19 Jul 2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network
  Structure Searching from Scratch
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch
Jian Ren
Zhe Li
Jianchao Yang
N. Xu
Tianbao Yang
D. Foran
27
17
0
05 Jun 2018
TAPAS: Train-less Accuracy Predictor for Architecture Search
TAPAS: Train-less Accuracy Predictor for Architecture Search
R. Istrate
F. Scheidegger
G. Mariani
Dimitrios S. Nikolopoulos
C. Bekas
A. Malossi
OOD
19
75
0
01 Jun 2018
Knowledge Distillation in Generations: More Tolerant Teachers Educate
  Better Students
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students
Chenglin Yang
Lingxi Xie
Siyuan Qiao
Alan Yuille
25
135
0
15 May 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
Efficient Image Dataset Classification Difficulty Estimation for
  Predicting Deep-Learning Accuracy
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
F. Scheidegger
R. Istrate
G. Mariani
Luca Benini
C. Bekas
C. Malossi
VLM
19
44
0
26 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
22
701
0
26 Feb 2018
Evolving Deep Convolutional Neural Networks for Image Classification
Evolving Deep Convolutional Neural Networks for Image Classification
Y. Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
ODL
22
568
0
30 Oct 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
36
558
0
05 Jul 2017
Large Scale Evolution of Convolutional Neural Networks Using Volunteer
  Computing
Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing
Travis J. Desell
BDL
23
72
0
15 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
254
7,634
0
03 Jul 2012
Previous
12