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Deeply-Supervised Nets

Deeply-Supervised Nets

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

50 / 855 papers shown
Title
Similarity-based Text Recognition by Deeply Supervised Siamese Network
Similarity-based Text Recognition by Deeply Supervised Siamese Network
Ehsan Hosseini-Asl
Angshuman Guha
21
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
Basic Level Categorization Facilitates Visual Object Recognition
Basic Level Categorization Facilitates Visual Object Recognition
Panqu Wang
G. Cottrell
23
15
0
12 Nov 2015
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
27
48
0
12 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
24
31
0
11 Nov 2015
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
27
1,098
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
Batch-normalized Maxout Network in Network
Batch-normalized Maxout Network in Network
Jia-Ren Chang
Yonghao Chen
OOD
34
108
0
09 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
43
2,970
0
02 Nov 2015
Spiking Deep Networks with LIF Neurons
Spiking Deep Networks with LIF Neurons
Eric Hunsberger
C. Eliasmith
26
272
0
29 Oct 2015
Adopting Robustness and Optimality in Fitting and Learning
Adopting Robustness and Optimality in Fitting and Learning
Zhiguang Wang
Tim Oates
J. Lo
16
2
0
13 Oct 2015
Deep Haar Scattering Networks
Deep Haar Scattering Networks
Xiuyuan Cheng
Xu Chen
S. Mallat
26
30
0
30 Sep 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
29
483
0
30 Sep 2015
CNN Based Hashing for Image Retrieval
CNN Based Hashing for Image Retrieval
J. Guo
Jianmin Li
11
17
0
04 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
14
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
874
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
On the Importance of Normalisation Layers in Deep Learning with
  Piecewise Linear Activation Units
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units
Zhibin Liao
G. Carneiro
21
62
0
03 Aug 2015
Deep Networks for Image Super-Resolution with Sparse Prior
Deep Networks for Image Super-Resolution with Sparse Prior
Zhaowen Wang
Ding Liu
Jianchao Yang
Wei Han
Thomas Huang
SupR
22
38
0
31 Jul 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
47
1,671
0
22 Jul 2015
Grid Long Short-Term Memory
Grid Long Short-Term Memory
Nal Kalchbrenner
Ivo Danihelka
Alex Graves
AI4TS
25
362
0
06 Jul 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
28
328
0
11 Jun 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
35
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
33
6
0
08 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jun 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
207
745
0
06 Jun 2015
Classify Images with Conceptor Network
Yuhuang Hu
S. Advanced
C. K. Loo
29
5
0
02 Jun 2015
A Critical Review of Recurrent Neural Networks for Sequence Learning
A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary Chase Lipton
John Berkowitz
Charles Elkan
47
2,322
0
29 May 2015
An Empirical Evaluation of Current Convolutional Architectures' Ability
  to Manage Nuisance Location and Scale Variability
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability
Nikolaos Karianakis
Jingming Dong
Stefano Soatto
30
15
0
26 May 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
Training Deeper Convolutional Networks with Deep Supervision
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang
Chen-Yu Lee
Zhuowen Tu
Svetlana Lazebnik
14
191
0
11 May 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional
  Networks
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin
Kyle Kastner
Kyunghyun Cho
Matteo Matteucci
Aaron Courville
Yoshua Bengio
SSeg
26
271
0
03 May 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
45
1,760
0
03 May 2015
Max-margin Deep Generative Models
Max-margin Deep Generative Models
Chongxuan Li
Jun Zhu
Tianlin Shi
Bo Zhang
AI4CE
36
32
0
26 Apr 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
64
3,469
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
11
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
29
84
0
16 Mar 2015
Rectified Factor Networks
Rectified Factor Networks
Djork-Arné Clevert
Andreas Mayr
Thomas Unterthiner
Sepp Hochreiter
28
16
0
23 Feb 2015
Scalable Bayesian Optimization Using Deep Neural Networks
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek
Oren Rippel
Kevin Swersky
Ryan Kiros
N. Satish
N. Sundaram
Md. Mostofa Ali Patwary
P. Prabhat
Ryan P. Adams
BDL
UQCV
46
1,035
0
19 Feb 2015
Invariant backpropagation: how to train a transformation-invariant
  neural network
Invariant backpropagation: how to train a transformation-invariant neural network
S. Demyanov
James Bailey
K. Ramamohanarao
C. Leckie
OOD
AAML
51
8
0
16 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
18,467
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
34
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
Unsupervised Feature Learning with C-SVDDNet
Unsupervised Feature Learning with C-SVDDNet
D. Wang
Xiaoyang Tan
3DPC
41
29
0
23 Dec 2014
Diverse Embedding Neural Network Language Models
Diverse Embedding Neural Network Language Models
Kartik Audhkhasi
A. Sethy
Bhuvana Ramabhadran
31
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
473
0
21 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
70
4,643
0
21 Dec 2014
Deep metric learning using Triplet network
Deep metric learning using Triplet network
Elad Hoffer
Nir Ailon
SSL
DML
60
1,983
0
20 Dec 2014
An Analysis of Unsupervised Pre-training in Light of Recent Advances
An Analysis of Unsupervised Pre-training in Light of Recent Advances
T. Paine
Pooya Khorrami
Wei Han
Thomas S. Huang
SSL
28
56
0
20 Dec 2014
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
110
3,841
0
19 Dec 2014
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