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Deeply-Supervised Nets

Deeply-Supervised Nets

18 September 2014
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Z. Tu
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Papers citing "Deeply-Supervised Nets"

43 / 343 papers shown
Title
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
44
120
0
14 Apr 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng-Ann Heng
MedIm
24
577
0
10 Apr 2016
Multi-Bias Non-linear Activation in Deep Neural Networks
Multi-Bias Non-linear Activation in Deep Neural Networks
Hongyang Li
Wanli Ouyang
Xiaogang Wang
15
64
0
03 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
59
2,336
0
30 Mar 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
S. K. Esser
P. Merolla
John V. Arthur
A. Cassidy
R. Appuswamy
...
Pallab Datta
A. Amir
B. Taba
M. Flickner
D. Modha
3DH
17
714
0
28 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
14
10,125
0
16 Mar 2016
Normalization Propagation: A Parametric Technique for Removing Internal
  Covariate Shift in Deep Networks
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit
Yingbo Zhou
Bhargava U. Kota
V. Govindaraju
19
126
0
04 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
18
39
0
01 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
84
1,924
0
25 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
58
1,351
0
08 Feb 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural
  Networks
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Chunyuan Li
Changyou Chen
David Carlson
Lawrence Carin
ODL
BDL
27
320
0
23 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
153
191,365
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
62
27,084
0
02 Dec 2015
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and
  Denoising Autoencoders
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders
Alexander Ororbia
C. Lee Giles
David Reitter
AI4CE
12
30
0
22 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
27
604
0
19 Nov 2015
Deeply-Recursive Convolutional Network for Image Super-Resolution
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
55
2,491
0
14 Nov 2015
Similarity-based Text Recognition by Deeply Supervised Siamese Network
Similarity-based Text Recognition by Deeply Supervised Siamese Network
Ehsan Hosseini-Asl
Angshuman Guha
16
3
0
13 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
21
91
0
13 Nov 2015
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
22
48
0
12 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
11
31
0
11 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
54
1,316
0
10 Nov 2015
Deep Haar Scattering Networks
Deep Haar Scattering Networks
Xiuyuan Cheng
Xu Chen
S. Mallat
16
30
0
30 Sep 2015
Learning A Task-Specific Deep Architecture For Clustering
Learning A Task-Specific Deep Architecture For Clustering
Zhangyang Wang
Shiyu Chang
Jiayu Zhou
Meng Wang
Thomas S. Huang
12
81
0
01 Sep 2015
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
23
873
0
14 Aug 2015
Compact Convolutional Neural Network Cascade for Face Detection
Compact Convolutional Neural Network Cascade for Face Detection
Ilya Kalinowski
V. Spitsyn
CVBM
24
35
0
06 Aug 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
32
46
0
09 Jun 2015
Adaptive Normalized Risk-Averting Training For Deep Neural Networks
Adaptive Normalized Risk-Averting Training For Deep Neural Networks
Zhiguang Wang
Tim Oates
J. Lo
30
6
0
08 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
J. Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffM
BDL
24
258
0
08 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
APAC: Augmented PAttern Classification with Neural Networks
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
32
137
0
13 May 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
45
1,759
0
03 May 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Z. Tu
46
3,467
0
24 Apr 2015
Globally Tuned Cascade Pose Regression via Back Propagation with
  Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT Images
Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT Images
Peng Sun
J. Min
G. Xiong
MedIm
CVBM
24
217
0
30 Mar 2015
Enhanced Image Classification With a Fast-Learning Shallow Convolutional
  Neural Network
Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network
Mark D Mcdonnell
Tony Vladusich
21
84
0
16 Mar 2015
Rectified Factor Networks
Rectified Factor Networks
Djork-Arné Clevert
Andreas Mayr
Thomas Unterthiner
Sepp Hochreiter
22
16
0
23 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,455
0
06 Feb 2015
Hyper-parameter optimization of Deep Convolutional Networks for object
  recognition
Hyper-parameter optimization of Deep Convolutional Networks for object recognition
S. Talathi
28
25
0
30 Jan 2015
Deep Roto-Translation Scattering for Object Classification
Deep Roto-Translation Scattering for Object Classification
Edouard Oyallon
S. Mallat
21
230
0
30 Dec 2014
Diverse Embedding Neural Network Language Models
Diverse Embedding Neural Network Language Models
Kartik Audhkhasi
A. Sethy
Bhuvana Ramabhadran
26
1
0
22 Dec 2014
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
50
472
0
21 Dec 2014
Salient Object Detection: A Survey
Salient Object Detection: A Survey
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
27
752
0
18 Nov 2014
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
101
571
0
08 Dec 2012
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
266
7,638
0
03 Jul 2012
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