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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
DynMat, a network that can learn after learning
DynMat, a network that can learn after learning
J. H. Lee
OffRL
110
5
0
16 Jun 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Huayu Chen
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
130
482
0
16 Jun 2018
NetScore: Towards Universal Metrics for Large-scale Performance Analysis
  of Deep Neural Networks for Practical On-Device Edge Usage
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage
A. Wong
HAI
70
68
0
14 Jun 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
326
354
0
14 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma
Alex Lamb
Christopher Beckham
Amir Najafi
Ioannis Mitliagkas
Aaron Courville
David Lopez-Paz
Yoshua Bengio
AAMLDRL
111
35
0
13 Jun 2018
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image
  Segmentation Pipelines
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Martin Rajchl
Nick Pawlowski
Daniel Rueckert
Paul M. Matthews
Ben Glocker
SSeg
69
35
0
11 Jun 2018
Dual Pattern Learning Networks by Empirical Dual Prediction Risk
  Minimization
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization
Haimin Zhang
Min Xu
23
0
0
11 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
598
1,994
0
09 Jun 2018
Non-Local Recurrent Network for Image Restoration
Non-Local Recurrent Network for Image Restoration
Ding Liu
Bihan Wen
Yuchen Fan
Chen Change Loy
Thomas S. Huang
SupR
261
634
0
07 Jun 2018
Shape Robust Text Detection with Progressive Scale Expansion Network
Shape Robust Text Detection with Progressive Scale Expansion Network
Xiang Li
Wenhai Wang
Wenbo Hou
Ruo-Ze Liu
Tong Lu
Jian Yang
104
614
0
07 Jun 2018
Adaptive feature recombination and recalibration for semantic
  segmentation: application to brain tumor segmentation in MRI
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI
Sérgio Pereira
Victor Alves
Carlos Alberto Silva
92
46
0
06 Jun 2018
Relational Deep Reinforcement Learning
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
182
222
0
05 Jun 2018
Perturbative Neural Networks
Perturbative Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
68
38
0
05 Jun 2018
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on
  Classification
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification
B. Hsueh
Wei Li
I-Chen Wu
27
23
0
05 Jun 2018
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic
  Segmentation
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
Jindong Jiang
Lunan Zheng
Fei Luo
Zhijun Zhang
3DPCSSeg
113
217
0
04 Jun 2018
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Yunzhe Tao
Qi Sun
Q. Du
Wen Liu
DiffM
82
37
0
02 Jun 2018
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Yuanzhouhan Cao
Tianqi Zhao
Ke Xian
Chunhua Shen
Zhiguo Cao
Shugong Xu
MDE
157
51
0
02 Jun 2018
Neural Proximal Gradient Descent for Compressive Imaging
Neural Proximal Gradient Descent for Compressive Imaging
Morteza Mardani
Qingyun Sun
Shreyas S. Vasawanala
Vardan Papyan
Hatef Monajemi
John M. Pauly
D. Donoho
116
155
0
01 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODFedMLELM
213
414
0
01 Jun 2018
Generative Adversarial Networks for Unsupervised Object Co-localization
Generative Adversarial Networks for Unsupervised Object Co-localization
Junsuk Choe
J. Park
Hyunjung Shim
GAN
35
1
0
01 Jun 2018
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural
  Networks
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks
George Philipp
J. Carbonell
66
14
0
01 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural
  Networks
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
Ke Sun
Mingjie Li
Dong Liu
Jingdong Wang
124
126
0
01 Jun 2018
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative
  Operators
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators
Frank Nielsen
Ke Sun
22
1
0
01 Jun 2018
Tandem Blocks in Deep Convolutional Neural Networks
Tandem Blocks in Deep Convolutional Neural Networks
Chris Hettinger
Tanner Christensen
J. Humpherys
Tyler J. Jarvis
15
0
0
01 Jun 2018
Short-term Load Forecasting with Deep Residual Networks
Short-term Load Forecasting with Deep Residual Networks
Kunjin Chen
Kunlong Chen
Qin Wang
Ziyu He
Jun Hu
Jinliang He
73
474
0
30 May 2018
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules
  without Candidate Selection
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
Tian Lan
Yuanyuan Li
Jonah Kimani Murugi
Yi Ding
Zhiguang Qin
29
21
0
30 May 2018
Collaborative Learning for Deep Neural Networks
Collaborative Learning for Deep Neural Networks
Guocong Song
Wei Chai
FedML
64
200
0
30 May 2018
Random mesh projectors for inverse problems
Random mesh projectors for inverse problems
Sidharth Gupta
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
75
16
0
29 May 2018
Improved Mixed-Example Data Augmentation
Improved Mixed-Example Data Augmentation
Cecilia Summers
M. Dinneen
100
161
0
29 May 2018
Constructing Fast Network through Deconstruction of Convolution
Constructing Fast Network through Deconstruction of Convolution
Yunho Jeon
Junmo Kim
93
72
0
28 May 2018
Vehicle Instance Segmentation from Aerial Image and Video Using a
  Multi-Task Learning Residual Fully Convolutional Network
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network
Lichao Mou
Xiaoxiang Zhu
SSeg
63
155
0
26 May 2018
The Singular Values of Convolutional Layers
The Singular Values of Convolutional Layers
Hanie Sedghi
Vineet Gupta
Philip M. Long
FAtt
93
203
0
26 May 2018
Tensorial Neural Networks: Generalization of Neural Networks and
  Application to Model Compression
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su
Jingling Li
Bobby Bhattacharjee
Furong Huang
70
20
0
25 May 2018
Meta Transfer Learning for Facial Emotion Recognition
Meta Transfer Learning for Facial Emotion Recognition
Dung Nguyen Tien
Kien Nguyen
Sridha Sridharan
Iman Abbasnejad
David Dean
Clinton Fookes
34
18
0
25 May 2018
Deep Residual Networks with a Fully Connected Recon-struction Layer for
  Single Image Super-Resolution
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution
Yongliang Tang
W. Gong
Zhenghao Li
Weihong Li
SupR
34
10
0
24 May 2018
Residual Networks as Geodesic Flows of Diffeomorphisms
Residual Networks as Geodesic Flows of Diffeomorphisms
F. Rousseau
Ronan Fablet
AI4CE
38
7
0
24 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural
  Network Robustness
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness
Carlos Lassance
Vincent Gripon
Antonio Ortega
AAML
88
16
0
24 May 2018
Predictive Local Smoothness for Stochastic Gradient Methods
Predictive Local Smoothness for Stochastic Gradient Methods
Jun Yu Li
Hongfu Liu
Bineng Zhong
Yue Wu
Y. Fu
ODL
41
1
0
23 May 2018
Input and Weight Space Smoothing for Semi-supervised Learning
Input and Weight Space Smoothing for Semi-supervised Learning
Safa Cicek
Stefano Soatto
55
6
0
23 May 2018
SNIPER: Efficient Multi-Scale Training
SNIPER: Efficient Multi-Scale Training
Bharat Singh
Mahyar Najibi
L. Davis
ObjD
75
490
0
23 May 2018
Learning towards Minimum Hyperspherical Energy
Learning towards Minimum Hyperspherical Energy
Weiyang Liu
Rongmei Lin
Ziqiang Liu
Lixin Liu
Zhiding Yu
Bo Dai
Le Song
137
151
0
23 May 2018
Deep Learning Estimation of Absorbed Dose for Nuclear Medicine
  Diagnostics
Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics
Luciano Melodia
47
2
0
23 May 2018
3D Human Pose Estimation with Relational Networks
3D Human Pose Estimation with Relational Networks
Sungheon Park
Nojun Kwak
3DH
79
31
0
23 May 2018
Learning long-range spatial dependencies with horizontal gated-recurrent
  units
Learning long-range spatial dependencies with horizontal gated-recurrent units
Drew Linsley
Junkyung Kim
Vijay Veerabadran
Thomas Serre
74
160
0
21 May 2018
A Simple Cache Model for Image Recognition
A Simple Cache Model for Image Recognition
Emin Orhan
VLM
128
30
0
21 May 2018
Learning to Optimize Tensor Programs
Learning to Optimize Tensor Programs
Tianqi Chen
Lianmin Zheng
Eddie Q. Yan
Ziheng Jiang
T. Moreau
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
141
407
0
21 May 2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Zhonghui You
Jinmian Ye
Kunming Li
Zenglin Xu
Ping Wang
82
77
0
21 May 2018
Batch-Instance Normalization for Adaptively Style-Invariant Neural
  Networks
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Hyeonseob Nam
Hyo-Eun Kim
OOD
70
210
0
21 May 2018
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule
  Subspaces
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
Liheng Zhang
Marzieh Edraki
Guo-Jun Qi
72
62
0
19 May 2018
Deep Predictive Coding Network with Local Recurrent Processing for
  Object Recognition
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
Kuan Han
Haiguang Wen
Yizhen Zhang
Di Fu
Eugenio Culurciello
Zhongming Liu
75
70
0
19 May 2018
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