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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 / 3,571 papers shown
Title
Advancing System Performance with Redundancy: From Biological to
  Artificial Designs
Advancing System Performance with Redundancy: From Biological to Artificial Designs
A. Nguyen
Han Zhu
Diu Khue Luu
Qi Zhao
Zhi-Xin Yang
26
10
0
14 Feb 2018
Deep Predictive Coding Network for Object Recognition
Deep Predictive Coding Network for Object Recognition
Haiguang Wen
Kuan Han
Junxing Shi
Yizhen Zhang
Eugenio Culurciello
Zhongming Liu
60
84
0
13 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
78
685
0
13 Feb 2018
Learning Robust and Adaptive Real-World Continuous Control Using Simulation and Transfer Learning
M. Ferguson
K. Law
20
3
0
13 Feb 2018
signSGD: Compressed Optimisation for Non-Convex Problems
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein
Yu Wang
Kamyar Azizzadenesheli
Anima Anandkumar
FedMLODL
137
1,053
0
13 Feb 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Tianqi Chen
T. Moreau
Ziheng Jiang
Lianmin Zheng
Eddie Q. Yan
...
Leyuan Wang
Yuwei Hu
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
226
374
0
12 Feb 2018
$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively
  Scale-Invariant Space
G\mathcal{G}G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
133
39
0
11 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU
  Neural Networks
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
MQ
120
21
0
10 Feb 2018
Optimize transfer learning for lung diseases in bronchoscopy using a new
  concept: sequential fine-tuning
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning
T. Tan
Zhang Li
Haixia Liu
Ping Liu
Wenfang Tang
...
Huiming Ying
Q. Ouyang
Yuling Tang
Zheyu Hu
Qiang Li
LM&MA
44
55
0
10 Feb 2018
Local Contrast Learning
Local Contrast Learning
Chuanyun Xu
Yang Zhang
Xin Feng
Yongxin Ge
Yihao Zhang
Jianwu Long
33
0
0
10 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
144
2,776
0
09 Feb 2018
Convolutional Hashing for Automated Scene Matching
Convolutional Hashing for Automated Scene Matching
M. Lončarić
Bowei Liu
Ryan Weber
38
1
0
09 Feb 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Abhronil Sengupta
Yuting Ye
Robert Y. Wang
Chiao Liu
Kaushik Roy
118
1,013
0
07 Feb 2018
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk
  Prediction
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger
Johnson Hsieh
Avesh Singh
N. Sohoni
Jack Wang
...
G. Marcus
Jose M. Sanchez
Carol Maguire
J. Olgin
M. Pletcher
HAI
92
132
0
07 Feb 2018
ShakeDrop Regularization for Deep Residual Learning
ShakeDrop Regularization for Deep Residual Learning
Yoshihiro Yamada
Masakazu Iwamura
Takuya Akiba
K. Kise
119
164
0
07 Feb 2018
Mixed Link Networks
Mixed Link Networks
Wenhai Wang
Xiang Li
Jian Yang
Tong Lu
57
54
0
06 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
276
1,609
0
05 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu
Chaochao Chen
Longfei Li
Jun Zhou
Xiaolong Li
Le Song
Yuan Qi
GNN
114
314
0
03 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
75
52
0
02 Feb 2018
Deep Neural Nets with Interpolating Function as Output Activation
Deep Neural Nets with Interpolating Function as Output Activation
Bao Wang
Xiyang Luo
Zerui Li
Wei-wei Zhu
Zuoqiang Shi
Stanley J. Osher
34
3
0
01 Feb 2018
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation:
  the Benefit of Target Expectation Maximization
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
Guoliang Kang
Liang Zheng
Yan Yan
Yi Yang
OOD
109
122
0
30 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved
  Regularization in Convolutional Networks
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Jason Kuen
Xiangfei Kong
Zhe Lin
G. Wang
Jianxiong Yin
Simon See
Yap-Peng Tan
BDL
76
25
0
29 Jan 2018
Deep Learning Angiography (DLA): Three-dimensional C-arm Cone Beam CT
  Angiography Using Deep Learning
Deep Learning Angiography (DLA): Three-dimensional C-arm Cone Beam CT Angiography Using Deep Learning
J. Montoya
Yinsheng Li
C. Strother
Guang-Hong Chen
12
1
0
26 Jan 2018
Overcoming the vanishing gradient problem in plain recurrent networks
Overcoming the vanishing gradient problem in plain recurrent networks
Yuhuang Hu
Adrian E. G. Huber
Jithendar Anumula
Shih-Chii Liu
GNN
93
104
0
18 Jan 2018
Multi-Objective De Novo Drug Design with Conditional Graph Generative
  Model
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model
Yibo Li
L. Zhang
Zhenming Liu
101
339
0
18 Jan 2018
Sparsely Aggregated Convolutional Networks
Sparsely Aggregated Convolutional Networks
Ligeng Zhu
Ruizhi Deng
Michael Maire
Zhiwei Deng
Greg Mori
P. Tan
3DPC
148
9
0
18 Jan 2018
Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic
  Events
Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events
Yue-bo Wu
Youzuo Lin
Zheng Zhou
A. Delorey
39
14
0
17 Jan 2018
FastNet
FastNet
John Olafenwa
Moses Olafenwa
29
1
0
17 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Jian Yang
82
309
0
16 Jan 2018
Grounded Language Understanding for Manipulation Instructions Using
  GAN-Based Classification
Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification
K. Sugiura
Hisashi Kawai
45
7
0
16 Jan 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
95
1,470
0
13 Jan 2018
Instance Map based Image Synthesis with a Denoising Generative
  Adversarial Network
Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
Ziqiang Zheng
Chao Wang
Zhibin Yu
Haiyong Zheng
Bing Zheng
GAN
32
11
0
10 Jan 2018
Moments in Time Dataset: one million videos for event understanding
Moments in Time Dataset: one million videos for event understanding
Mathew Monfort
A. Andonian
Bolei Zhou
K. Ramakrishnan
Sarah Adel Bargal
...
L. Brown
Quanfu Fan
Dan Gutfreund
Carl Vondrick
A. Oliva
122
553
0
09 Jan 2018
Convergence Analysis of Gradient Descent Algorithms with Proportional
  Updates
Convergence Analysis of Gradient Descent Algorithms with Proportional Updates
Igor Gitman
D. Dilipkumar
Ben Parr
30
5
0
09 Jan 2018
Convexification of Neural Graph
Convexification of Neural Graph
Han Xiao
GNN
23
0
0
09 Jan 2018
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
W. Chen
James Hays
GAN
87
308
0
09 Jan 2018
Deep Supervision with Intermediate Concepts
Deep Supervision with Intermediate Concepts
Chi Li
M. Zia
Quoc-Huy Tran
Xiang Yu
Gregory Hager
Manmohan Chandraker
73
75
0
08 Jan 2018
Differentially Private Releasing via Deep Generative Model (Technical
  Report)
Differentially Private Releasing via Deep Generative Model (Technical Report)
Xinyang Zhang
S. Ji
Ting Wang
SyDa
80
71
0
05 Jan 2018
Deep Stacked Networks with Residual Polishing for Image Inpainting
Deep Stacked Networks with Residual Polishing for Image Inpainting
Ugur Demir
Gözde B. Ünal
64
8
0
31 Dec 2017
Improved Inception-Residual Convolutional Neural Network for Object
  Recognition
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
87
118
0
28 Dec 2017
Tensor Regression Networks with various Low-Rank Tensor Approximations
Tensor Regression Networks with various Low-Rank Tensor Approximations
Xingwei Cao
Guillaume Rabusseau
48
21
0
27 Dec 2017
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural
  Networks with A Hierarchical Dice Loss
Brain Tumor Segmentation Based on Refined Fully Convolutional Neural Networks with A Hierarchical Dice Loss
Jiachi Zhang
Xiaolei Shen
Tianqi Zhuo
Hong Zhou
161
39
0
25 Dec 2017
Mean Field Residual Networks: On the Edge of Chaos
Mean Field Residual Networks: On the Edge of Chaos
Greg Yang
S. Schoenholz
84
194
0
24 Dec 2017
Encoding CNN Activations for Writer Recognition
Encoding CNN Activations for Writer Recognition
Vincent Christlein
Andreas Maier
64
53
0
21 Dec 2017
Deep learning for predicting refractive error from retinal fundus images
Deep learning for predicting refractive error from retinal fundus images
A. Varadarajan
Ryan Poplin
Katy Blumer
Christof Angermüller
J. Ledsam
Reena Chopra
P. Keane
G. Corrado
L. Peng
D. Webster
MedIm
54
161
0
21 Dec 2017
Dataflow Matrix Machines and V-values: a Bridge between Programs and
  Neural Nets
Dataflow Matrix Machines and V-values: a Bridge between Programs and Neural Nets
M. Bukatin
J. Anthony
AI4CE
28
0
0
20 Dec 2017
End-to-end Recovery of Human Shape and Pose
End-to-end Recovery of Human Shape and Pose
Angjoo Kanazawa
Michael J. Black
David Jacobs
Jitendra Malik
3DH
235
1,804
0
18 Dec 2017
The exploding gradient problem demystified - definition, prevalence,
  impact, origin, tradeoffs, and solutions
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
George Philipp
Basel Alomair
J. Carbonell
ODL
103
46
0
15 Dec 2017
Deep CNN ensembles and suggestive annotations for infant brain MRI
  segmentation
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz
Christian Desrosiers
Li Wang
Jing Yuan
Dinggang Shen
Ismail Ben Ayed
3DV
93
113
0
14 Dec 2017
Mathematics of Deep Learning
Mathematics of Deep Learning
René Vidal
Joan Bruna
Raja Giryes
Stefano Soatto
OOD
70
120
0
13 Dec 2017
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