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Identity Mappings in Deep Residual Networks
v1v2v3 (latest)

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXiv (abs)PDFHTMLGithub (917★)

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 3,572 papers shown
Title
Robot Localization in Floor Plans Using a Room Layout Edge Extraction
  Network
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network
Federico Boniardi
Abhinav Valada
Rohit Mohan
Tim Caselitz
Wolfram Burgard
64
51
0
05 Mar 2019
How to Prove Your Model Belongs to You: A Blind-Watermark based
  Framework to Protect Intellectual Property of DNN
How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN
Zheng Li
Chengyu Hu
Yang Zhang
Shanqing Guo
AAML
68
175
0
05 Mar 2019
Complement Objective Training
Complement Objective Training
Hao-Yun Chen
Pei-Hsin Wang
Chun-Hao Liu
Shih-Chieh Chang
Jia Pan
Yutian Chen
Wei Wei
Da-Cheng Juan
AAML
71
49
0
04 Mar 2019
Accelerating Training of Deep Neural Networks with a Standardization
  Loss
Accelerating Training of Deep Neural Networks with a Standardization Loss
Jasmine Collins
Johannes Ballé
Jonathon Shlens
44
3
0
03 Mar 2019
Image Super-Resolution by Neural Texture Transfer
Image Super-Resolution by Neural Texture Transfer
Zhifei Zhang
Zhaowen Wang
Zhe Lin
Hairong Qi
SupR
71
282
0
03 Mar 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
99
302
0
28 Feb 2019
Towards Robust ResNet: A Small Step but A Giant Leap
Towards Robust ResNet: A Small Step but A Giant Leap
Jingfeng Zhang
Bo Han
L. Wynter
K. H. Low
Mohan Kankanhalli
119
41
0
28 Feb 2019
Accelerating Self-Play Learning in Go
Accelerating Self-Play Learning in Go
David J. Wu
103
96
0
27 Feb 2019
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks:
  An Empirical Study
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study
Zhendong Zhang
Cheolkon Jung
31
2
0
26 Feb 2019
Function Space Particle Optimization for Bayesian Neural Networks
Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang
Zhaolin Ren
Jun Zhu
Bo Zhang
BDL
77
65
0
26 Feb 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying
Aaron Klein
Esteban Real
Eric Christiansen
Kevin Patrick Murphy
Frank Hutter
112
690
0
25 Feb 2019
ParticleNet: Jet Tagging via Particle Clouds
ParticleNet: Jet Tagging via Particle Clouds
H. Qu
L. Gouskos
3DPCMU
104
231
0
22 Feb 2019
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural
  Networks
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
Domen Tabernik
Matej Kristan
A. Leonardis
70
22
0
20 Feb 2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks
  with Sensitivity Encoding
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Muhammad Usman
Muhammad Asim
S. Latif
B. Lee
Junaid Qadir
MedImDiffMGAN
128
59
0
20 Feb 2019
LipschitzLR: Using theoretically computed adaptive learning rates for
  fast convergence
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
Rahul Yedida
Snehanshu Saha
Tejas Prashanth
ODL
53
12
0
20 Feb 2019
Evolutionary Neural AutoML for Deep Learning
Evolutionary Neural AutoML for Deep Learning
J. Liang
Elliot Meyerson
Babak Hodjat
Daniel Fink
Karl Mutch
Risto Miikkulainen
55
108
0
18 Feb 2019
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch
  Features for Automatic Sleep Scoring on Raw Single-channel EEG
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG
H. Seo
S. Back
Seongju Lee
Deokhwan Park
Tae Kim
Kyoobin Lee
77
13
0
18 Feb 2019
PIXOR: Real-time 3D Object Detection from Point Clouds
PIXOR: Real-time 3D Object Detection from Point Clouds
Binh Yang
Wenjie Luo
R. Urtasun
3DPC
121
1,098
0
17 Feb 2019
A semi-supervised deep residual network for mode detection in Wi-Fi
  signals
A semi-supervised deep residual network for mode detection in Wi-Fi signals
Arash Kalatian
Bilal Farooq
HAI
34
10
0
17 Feb 2019
RES-SE-NET: Boosting Performance of Resnets by Enhancing
  Bridge-connections
RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections
V. Varshaneya
S. Balasubramanian
Darshan Gera
30
13
0
16 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
113
201
0
15 Feb 2019
MultiGrain: a unified image embedding for classes and instances
MultiGrain: a unified image embedding for classes and instances
Maxim Berman
Hervé Jégou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
75
111
0
14 Feb 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODSSegVLM
138
1,733
0
13 Feb 2019
Identity Crisis: Memorization and Generalization under Extreme
  Overparameterization
Identity Crisis: Memorization and Generalization under Extreme Overparameterization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Michael C. Mozer
Y. Singer
60
90
0
13 Feb 2019
On Residual Networks Learning a Perturbation from Identity
On Residual Networks Learning a Perturbation from Identity
Michael Hauser
95
5
0
11 Feb 2019
3D Hand Shape and Pose from Images in the Wild
3D Hand Shape and Pose from Images in the Wild
A. Boukhayma
Rodrigo de Bem
Philip Torr
3DH
94
356
0
09 Feb 2019
FERAtt: Facial Expression Recognition with Attention Net
FERAtt: Facial Expression Recognition with Attention Net
Pedro Diamel Marrero Fernández
F. Guerrero-Peña
Ing Ren Tsang
Alexandre Cunha
CVBM
59
98
0
08 Feb 2019
FocusNet: An attention-based Fully Convolutional Network for Medical
  Image Segmentation
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation
Chaitanya Kaul
S. Manandhar
Nick E. Pears
SSeg
67
130
0
08 Feb 2019
Skeleton-Based Online Action Prediction Using Scale Selection Network
Skeleton-Based Online Action Prediction Using Scale Selection Network
Jun Liu
Amir Shahroudy
G. Wang
Ling-yu Duan
Alex C. Kot
91
143
0
08 Feb 2019
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting
P. Song
Yonina C. Eldar
G. Mazor
M. Rodrigues
52
31
0
07 Feb 2019
End-to-end losses based on speaker basis vectors and all-speaker hard
  negative mining for speaker verification
End-to-end losses based on speaker basis vectors and all-speaker hard negative mining for speaker verification
Hee-Soo Heo
Jee-weon Jung
Il-Ho Yang
Sung-Hyun Yoon
Hye-jin Shim
Ha-Jin Yu
85
22
0
07 Feb 2019
Progressive Generative Adversarial Networks for Medical Image Super
  resolution
Progressive Generative Adversarial Networks for Medical Image Super resolution
Dwarikanath Mahapatra
Behzad Bozorgtabar
GANMedIm
58
28
0
06 Feb 2019
UrbanFM: Inferring Fine-Grained Urban Flows
UrbanFM: Inferring Fine-Grained Urban Flows
Yuxuan Liang
Kun Ouyang
Lin Jing
Sijie Ruan
Ye Liu
Junbo Zhang
David S. Rosenblum
Yu Zheng
64
122
0
06 Feb 2019
Are All Layers Created Equal?
Are All Layers Created Equal?
Chiyuan Zhang
Samy Bengio
Y. Singer
111
140
0
06 Feb 2019
Adaptive Gradient for Adversarial Perturbations Generation
Yatie Xiao
Chi-Man Pun
ODL
69
10
0
01 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward James Smith
Scott Fujimoto
Adriana Romero
David Meger
72
91
0
31 Jan 2019
Effect of Various Regularizers on Model Complexities of Neural Networks
  in Presence of Input Noise
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise
Mayank Sharma
Aayush Yadav
Sumit Soman
Jayadeva Jayadeva
25
1
0
31 Jan 2019
Automated brain extraction of multi-sequence MRI using artificial neural
  networks
Automated brain extraction of multi-sequence MRI using artificial neural networks
Hyunjin Park
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
96
500
0
31 Jan 2019
Distant Vehicle Detection Using Radar and Vision
Distant Vehicle Detection Using Radar and Vision
Simon Chadwick
William P. Maddern
Paul Newman
159
186
0
30 Jan 2019
Medical Image Super-Resolution Using a Generative Adversarial Network
Medical Image Super-Resolution Using a Generative Adversarial Network
Yongpei Zhu
Xuesheng Zhang
Kehong Yuan
GANMedIm
27
2
0
30 Jan 2019
Semantic Redundancies in Image-Classification Datasets: The 10% You
  Don't Need
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need
Vighnesh Birodkar
H. Mobahi
Samy Bengio
88
82
0
29 Jan 2019
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
Juncai He
Jinchao Xu
54
55
0
29 Jan 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
Sai Praneeth Karimireddy
Quentin Rebjock
Sebastian U. Stich
Martin Jaggi
113
503
0
28 Jan 2019
PruneTrain: Fast Neural Network Training by Dynamic Sparse Model
  Reconfiguration
PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration
Sangkug Lym
Esha Choukse
Siavash Zangeneh
W. Wen
Sujay Sanghavi
M. Erez
CVBM
81
88
0
26 Jan 2019
ACNN: a Full Resolution DCNN for Medical Image Segmentation
ACNN: a Full Resolution DCNN for Medical Image Segmentation
Xiao-Yun Zhou
Jian-Qing Zheng
Peichao Li
Guang-Zhong Yang
MedIm
27
1
0
26 Jan 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
208
718
0
25 Jan 2019
Deep Generative Learning via Variational Gradient Flow
Deep Generative Learning via Variational Gradient Flow
Yuan Gao
Yuling Jiao
Yang Wang
Yao Wang
Can Yang
Shunkang Zhang
128
38
0
24 Jan 2019
Learning V1 Simple Cells with Vector Representation of Local Content and
  Matrix Representation of Local Motion
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion
Ruiqi Gao
Jianwen Xie
Siyuan Huang
Yufan Ren
Song-Chun Zhu
Ying Nian Wu
25
2
0
24 Jan 2019
Backprop with Approximate Activations for Memory-efficient Network
  Training
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti
Benjamin Moseley
68
38
0
23 Jan 2019
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Reducing the Model Variance of a Rectal Cancer Segmentation Network
Joohyun Lee
J. Oh
Min Ju Kim
B. Hur
D. Sohn
56
15
0
22 Jan 2019
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