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Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

16 March 2016
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
ArXivPDFHTML

Papers citing "Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units"

12 / 62 papers shown
Title
Energy-Based Spherical Sparse Coding
Energy-Based Spherical Sparse Coding
Bailey Kong
Charless C. Fowlkes
19
1
0
04 Oct 2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
Isma Hadji
Richard P. Wildes
25
27
0
22 Aug 2017
FaceBoxes: A CPU Real-time Face Detector with High Accuracy
FaceBoxes: A CPU Real-time Face Detector with High Accuracy
Shifeng Zhang
Xiangyu Zhu
Zhen Lei
Hailin Shi
Xiaobo Wang
Stan Z. Li
CVBM
ObjD
39
270
0
17 Aug 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via
  Postponing the Early Softmax Saturation
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen
Weihong Deng
Junping Du
25
125
0
12 Aug 2017
Deep Convolutional Framelets: A General Deep Learning Framework for
  Inverse Problems
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
J. C. Ye
Yoseob Han
Eunju Cha
36
16
0
03 Jul 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
11
117
0
01 Jun 2017
Towards Understanding the Invertibility of Convolutional Neural Networks
Towards Understanding the Invertibility of Convolutional Neural Networks
A. Gilbert
Yi Zhang
Kibok Lee
Y. Zhang
Honglak Lee
11
64
0
24 May 2017
The Reactor: A fast and sample-efficient Actor-Critic agent for
  Reinforcement Learning
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
A. Gruslys
Will Dabney
M. G. Azar
Bilal Piot
Marc G. Bellemare
Rémi Munos
15
58
0
15 Apr 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
19
181
0
06 Mar 2017
Steerable CNNs
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
49
488
0
27 Dec 2016
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Sanghoon Hong
Byungseok Roh
Kye-Hyeon Kim
Yeongjae Cheon
Minje Park
ObjD
13
82
0
23 Nov 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
40
43,009
0
11 Feb 2015
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