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Identity Mappings in Deep Residual Networks

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXivPDFHTML

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 1,351 papers shown
Title
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Xingcheng Zhang
Zhizhong Li
Chen Change Loy
Dahua Lin
MDE
32
259
0
17 Nov 2016
Factorized Bilinear Models for Image Recognition
Factorized Bilinear Models for Image Recognition
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
19
96
0
17 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
300
10,225
0
16 Nov 2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and
  Motion Compensation
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Jose Caballero
C. Ledig
Andrew P. Aitken
Alejandro Acosta
J. Totz
Zehan Wang
Wenzhe Shi
SupR
58
659
0
16 Nov 2016
One-to-Many Network for Visually Pleasing Compression Artifacts
  Reduction
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo
Hongyang Chao
39
89
0
15 Nov 2016
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
25
398
0
14 Nov 2016
Low Data Drug Discovery with One-shot Learning
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran
Bharath Ramsundar
Aneesh S. Pappu
Vijay S. Pande
43
677
0
10 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
47
671
0
08 Nov 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
42
716
0
07 Nov 2016
Removal of Batch Effects using Distribution-Matching Residual Networks
Removal of Batch Effects using Distribution-Matching Residual Networks
Uri Shaham
Kelly P. Stanton
Jun Zhao
Huamin Li
K. Raddassi
Ruth R. Montgomery
Y. Kluger
24
160
0
13 Oct 2016
Learning Spatial-Semantic Context with Fully Convolutional Recurrent
  Network for Online Handwritten Chinese Text Recognition
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
Zecheng Xie
Zenghui Sun
Lianwen Jin
Hao Ni
Terry Lyons
43
122
0
09 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
26
421
0
03 Oct 2016
Accelerating Deep Convolutional Networks using low-precision and
  sparsity
Accelerating Deep Convolutional Networks using low-precision and sparsity
Ganesh Venkatesh
Eriko Nurvitadhi
Debbie Marr
26
135
0
02 Oct 2016
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows
  Prediction
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang
Yu Zheng
Dekang Qi
3DPC
AI4TS
33
2,024
0
01 Oct 2016
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face
  Alignment in the Wild (3DFAW) Challenge
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge
Adrian Bulat
Georgios Tzimiropoulos
CVBM
24
75
0
29 Sep 2016
Byte-based Language Identification with Deep Convolutional Networks
Byte-based Language Identification with Deep Convolutional Networks
Johannes Bjerva
21
16
0
28 Sep 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
84
1,585
0
27 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
27
457
0
22 Sep 2016
Semantic Tagging with Deep Residual Networks
Semantic Tagging with Deep Residual Networks
Johannes Bjerva
Barbara Plank
Johan Bos
VLM
SSeg
25
78
0
22 Sep 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction
  Approach
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini
A. Rozza
A. Menon
Richard Nock
Lizhen Qu
NoLa
51
1,435
0
13 Sep 2016
Human pose estimation via Convolutional Part Heatmap Regression
Human pose estimation via Convolutional Part Heatmap Regression
Adrian Bulat
Georgios Tzimiropoulos
3DH
24
517
0
06 Sep 2016
Linking Image and Text with 2-Way Nets
Linking Image and Text with 2-Way Nets
Aviv Eisenschtat
Lior Wolf
27
176
0
29 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
MQ
30
251
0
22 Aug 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
26
577
0
15 Aug 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
35
1,035
0
14 Aug 2016
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Zhangyang Wang
Shiyu Chang
Qing Ling
Shuai Huang
Xia Hu
Honghui Shi
Thomas S. Huang
BDL
15
2
0
14 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
18
303
0
09 Aug 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
28
23
0
16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
55
1,796
0
15 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural Fabrics
Shreyas Saxena
Jakob Verbeek
24
225
0
08 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
Very Deep Convolutional Networks for Text Classification
Very Deep Convolutional Networks for Text Classification
Alexis Conneau
Holger Schwenk
Loïc Barrault
Yann LeCun
AI4CE
29
320
0
06 Jun 2016
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
S. Eberhardt
Jonah Cader
Thomas Serre
21
53
0
03 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
74
18,038
0
02 Jun 2016
Density estimation using Real NVP
Density estimation using Real NVP
Falong Shen
Jascha Sohl-Dickstein
Gang Zeng
DRL
32
44
0
27 May 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
26
307
0
26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,647
0
26 May 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
45
933
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
68
7,907
0
23 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISeg
SSeg
9
161
0
23 May 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL
3DPC
OOD
UQCV
21
150
0
20 May 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit
Michael J. Wilber
Serge J. Belongie
UQCV
22
107
0
20 May 2016
Training Deep Nets with Sublinear Memory Cost
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen
Bing Xu
Chiyuan Zhang
Carlos Guestrin
58
1,144
0
21 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
25
130
0
15 Apr 2016
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
50
120
0
14 Apr 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou
Shih-Fu Chang
ObjD
29
91
0
05 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
74
2,336
0
30 Mar 2016
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
40
27
0
20 Nov 2015
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