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Can CNN Construct Highly Accurate Models Efficiently for
  High-Dimensional Problems in Complex Product Designs?

Can CNN Construct Highly Accurate Models Efficiently for High-Dimensional Problems in Complex Product Designs?

15 November 2017
Yu Li
Hu Wang
Juanjuan Liu
ArXivPDFHTML

Papers citing "Can CNN Construct Highly Accurate Models Efficiently for High-Dimensional Problems in Complex Product Designs?"

13 / 13 papers shown
Title
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
201
9,546
0
31 Mar 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
81
1,456
0
07 Dec 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
74
4,604
0
10 Feb 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,521
0
23 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
300
7,384
0
05 Jun 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjD
SSeg
96
737
0
07 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
135
2,910
0
05 May 2015
Reading Text in the Wild with Convolutional Neural Networks
Reading Text in the Wild with Convolutional Neural Networks
Max Jaderberg
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
112
1,166
0
04 Dec 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
394
11,224
0
18 Jun 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Yunchao Gong
Liwei Wang
Ruiqi Guo
Svetlana Lazebnik
179
1,089
0
07 Mar 2014
Improving Deep Neural Networks with Probabilistic Maxout Units
Improving Deep Neural Networks with Probabilistic Maxout Units
Jost Tobias Springenberg
Martin Riedmiller
BDL
OOD
208
101
0
20 Dec 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural
  Networks
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
188
989
0
16 Jan 2013
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
453
7,661
0
03 Jul 2012
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