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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
A Multi-Pass GAN for Fluid Flow Super-Resolution
A Multi-Pass GAN for Fluid Flow Super-Resolution
Maximilian Werhahn
You Xie
Mengyu Chu
Nils Thuerey
AI4CE
74
61
0
04 Jun 2019
Localization in Aerial Imagery with Grid Maps using LocGAN
Localization in Aerial Imagery with Grid Maps using LocGAN
Haohao Hu
Junyi Zhu
Sascha Wirges
Martin Lauer
56
3
0
04 Jun 2019
Learning Deep Image Priors for Blind Image Denoising
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou
Hongming Luo
Jingxin Liu
Bolei Xu
Ke Sun
Yuanhao Gong
Bozhi Liu
Guoping Qiu
80
7
0
04 Jun 2019
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
Massimiliano Mancini
H. Karaoğuz
Elisa Ricci
Patric Jensfelt
Barbara Caputo
63
24
0
04 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
219
1,481
0
03 Jun 2019
Hierarchical Auxiliary Learning
Hierarchical Auxiliary Learning
Jaehoon Cha
Kyeong Soo Kim
Sanghyuk Lee
31
4
0
03 Jun 2019
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular
  Video
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video
Jian Liu
Naveed Akhtar
Ajmal Mian
3DH
56
10
0
01 Jun 2019
Prostate Cancer Detection using Deep Convolutional Neural Networks
Prostate Cancer Detection using Deep Convolutional Neural Networks
Sunghwan Yoo
Isha Gujrathi
M. Haider
Farzad Khalvati
MedIm
70
184
0
30 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
Simon A. A. Kohl
Bernardino Romera-Paredes
Klaus H. Maier-Hein
Danilo Jimenez Rezende
S. M. Ali Eslami
Pushmeet Kohli
Andrew Zisserman
Olaf Ronneberger
BDL
84
88
0
30 May 2019
$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
ddd-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu
Xiong Zhou
Ragav Venkatesan
Gurumurthy Swaminathan
Orchid Majumder
91
121
0
29 May 2019
Training Data Subset Search with Ensemble Active Learning
Training Data Subset Search with Ensemble Active Learning
Kashyap Chitta
J. Álvarez
Elmar Haussmann
C. Farabet
87
13
0
29 May 2019
Attention Based Pruning for Shift Networks
Attention Based Pruning for Shift Networks
G. B. Hacene
Carlos Lassance
Vincent Gripon
Matthieu Courbariaux
Yoshua Bengio
98
25
0
29 May 2019
Vehicle Detection in Deep Learning
Vehicle Detection in Deep Learning
Yao Xiao
37
3
0
29 May 2019
Video-to-Video Translation for Visual Speech Synthesis
Video-to-Video Translation for Visual Speech Synthesis
M. Doukas
V. Sharmanska
Stefanos Zafeiriou
37
0
0
28 May 2019
Unsupervised Learning from Video with Deep Neural Embeddings
Unsupervised Learning from Video with Deep Neural Embeddings
Chengxu Zhuang
Tianwei She
A. Andonian
Max Sobol Mark
Daniel L. K. Yamins
SSL
84
58
0
28 May 2019
Putting An End to End-to-End: Gradient-Isolated Learning of
  Representations
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe
Peter O'Connor
Bastiaan S. Veeling
SSL
146
144
0
28 May 2019
Cross-Domain Transferability of Adversarial Perturbations
Cross-Domain Transferability of Adversarial Perturbations
Muzammal Naseer
Salman H. Khan
M. H. Khan
Fahad Shahbaz Khan
Fatih Porikli
AAML
115
146
0
28 May 2019
SGD on Neural Networks Learns Functions of Increasing Complexity
SGD on Neural Networks Learns Functions of Increasing Complexity
Preetum Nakkiran
Gal Kaplun
Dimitris Kalimeris
Tristan Yang
Benjamin L. Edelman
Fred Zhang
Boaz Barak
MLT
147
248
0
28 May 2019
Local Label Propagation for Large-Scale Semi-Supervised Learning
Local Label Propagation for Large-Scale Semi-Supervised Learning
Chengxu Zhuang
Xuehao Ding
Divyanshu Murli
Daniel L. K. Yamins
SSL
51
11
0
28 May 2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from
  Multi-task Teachers
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
Jingwen Ye
Xinchao Wang
Yixin Ji
Kairi Ou
Xiuming Zhang
MoMe
79
31
0
28 May 2019
Case-Based Histopathological Malignancy Diagnosis using Convolutional
  Neural Networks
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks
Qicheng Lao
T. Fevens
MedIm
9
1
0
28 May 2019
Scaleable input gradient regularization for adversarial robustness
Scaleable input gradient regularization for adversarial robustness
Chris Finlay
Adam M. Oberman
AAML
101
79
0
27 May 2019
Stochastic Gradient Methods with Layer-wise Adaptive Moments for
  Training of Deep Networks
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks
Boris Ginsburg
P. Castonguay
Oleksii Hrinchuk
Oleksii Kuchaiev
Vitaly Lavrukhin
Ryan Leary
Jason Chun Lok Li
Huyen Nguyen
Yang Zhang
Jonathan M. Cohen
ODL
90
13
0
27 May 2019
Infinitely deep neural networks as diffusion processes
Infinitely deep neural networks as diffusion processes
Stefano Peluchetti
Stefano Favaro
ODL
105
32
0
27 May 2019
Communication-Efficient Distributed Blockwise Momentum SGD with
  Error-Feedback
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Shuai Zheng
Ziyue Huang
James T. Kwok
56
115
0
27 May 2019
A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
47
64
0
26 May 2019
State-Reification Networks: Improving Generalization by Modeling the
  Distribution of Hidden Representations
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb
Jonathan Binas
Anirudh Goyal
Sandeep Subramanian
Ioannis Mitliagkas
Denis Kazakov
Yoshua Bengio
Michael C. Mozer
OOD
47
3
0
26 May 2019
DIANet: Dense-and-Implicit Attention Network
DIANet: Dense-and-Implicit Attention Network
Zhongzhan Huang
Senwei Liang
Mingfu Liang
Haizhao Yang
CVBM
82
57
0
25 May 2019
Robust learning with implicit residual networks
Robust learning with implicit residual networks
Viktor Reshniak
Clayton Webster
OOD
92
22
0
24 May 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRLOOD
89
206
0
24 May 2019
A Compression Objective and a Cycle Loss for Neural Image Compression
A Compression Objective and a Cycle Loss for Neural Image Compression
Çağlar Aytekin
Francesco Cricri
A. Hallapuro
J. Lainema
Emre B. Aksu
M. Hannuksela
35
9
0
24 May 2019
Memorized Sparse Backpropagation
Memorized Sparse Backpropagation
Zhiyuan Zhang
Pengcheng Yang
Xuancheng Ren
Qi Su
Xu Sun
103
13
0
24 May 2019
EnsembleNet: End-to-End Optimization of Multi-headed Models
EnsembleNet: End-to-End Optimization of Multi-headed Models
Hanhan Li
Joe Yue-Hei Ng
Apostol Natsev
57
16
0
24 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAMLGANFAtt
125
161
0
23 May 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in
  Convolutional Networks
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li
Xiaolin Hu
Jian Yang
93
196
0
23 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
198
1,437
0
22 May 2019
Semi-Supervised Learning by Augmented Distribution Alignment
Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang
Wen Li
Luc Van Gool
87
70
0
20 May 2019
Learning Compact Neural Networks Using Ordinary Differential Equations
  as Activation Functions
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
MohamadAli Torkamani
Phillip Wallis
Shiv Shankar
Pedram Rooshenas
21
5
0
19 May 2019
Multilinear Compressive Learning
Multilinear Compressive Learning
D. Tran
Mehmet Yamaç
A. Degerli
Moncef Gabbouj
Alexandros Iosifidis
59
24
0
17 May 2019
Training Object Detectors With Noisy Data
Training Object Detectors With Noisy Data
Simon Chadwick
Paul Newman
NoLa
61
38
0
17 May 2019
Understanding of Object Manipulation Actions Using Human Multi-Modal
  Sensory Data
Understanding of Object Manipulation Actions Using Human Multi-Modal Sensory Data
Bahareh Abbasi
E. Noohi
S. Parastegari
Milos Zefran
18
0
0
16 May 2019
Learning to Regress 3D Face Shape and Expression from an Image without
  3D Supervision
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Soubhik Sanyal
Timo Bolkart
Haiwen Feng
Michael J. Black
3DHCVBM
63
291
0
16 May 2019
STAR: A Concise Deep Learning Framework for Citywide Human Mobility
  Prediction
STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction
Hongnian Wang
Han Su
HAI
43
17
0
16 May 2019
On Norm-Agnostic Robustness of Adversarial Training
On Norm-Agnostic Robustness of Adversarial Training
Bai Li
Changyou Chen
Wenlin Wang
Lawrence Carin
OODSILM
68
7
0
15 May 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Chaoqi Wang
Roger C. Grosse
Sanja Fidler
Guodong Zhang
80
124
0
15 May 2019
Orthogonal Deep Neural Networks
Orthogonal Deep Neural Networks
Kui Jia
Shuai Li
Yuxin Wen
Tongliang Liu
Dacheng Tao
102
134
0
15 May 2019
Rethinking the Usage of Batch Normalization and Dropout in the Training
  of Deep Neural Networks
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks
Guangyong Chen
Pengfei Chen
Yujun Shi
Chang-Yu Hsieh
B. Liao
Shengyu Zhang
OOD
58
80
0
15 May 2019
Efficient Ladder-style DenseNets for Semantic Segmentation of Large
  Images
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images
Ivan Kreso
Josip Krapac
Sinisa Segvic
SSeg
82
54
0
14 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy
  Schedules
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho
Eric Liang
Ion Stoica
Pieter Abbeel
Xi Chen
98
405
0
14 May 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy
  Labels
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
113
388
0
13 May 2019
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