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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
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Papers citing "Identity Mappings in Deep Residual Networks"

50 / 1,409 papers shown
Title
Deep Component Analysis via Alternating Direction Neural Networks
Deep Component Analysis via Alternating Direction Neural Networks
Calvin Murdock
Ming-Fang Chang
Simon Lucey
BDL
27
20
0
16 Mar 2018
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
27
190
0
16 Mar 2018
On the insufficiency of existing momentum schemes for Stochastic
  Optimization
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi
Praneeth Netrapalli
Prateek Jain
Sham Kakade
ODL
27
117
0
15 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust
  Deep Learning
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot
Patrick McDaniel
OOD
AAML
13
503
0
13 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
39
120
0
10 Mar 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
61
5,643
0
05 Mar 2018
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution
  to the BRATS 2017 Challenge
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
27
493
0
28 Feb 2018
Photographic Text-to-Image Synthesis with a Hierarchically-nested
  Adversarial Network
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
Zizhao Zhang
Yuanpu Xie
L. Yang
EGVM
32
304
0
26 Feb 2018
Wide Compression: Tensor Ring Nets
Wide Compression: Tensor Ring Nets
Wenqi Wang
Yifan Sun
Brian Eriksson
Wenlin Wang
Vaneet Aggarwal
13
168
0
25 Feb 2018
Convolutional Neural Networks combined with Runge-Kutta Methods
Convolutional Neural Networks combined with Runge-Kutta Methods
Mai Zhu
Bo Chang
Chong Fu
AI4CE
41
52
0
24 Feb 2018
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network
Yanting Hu
Xinbo Gao
Jie Li
Yuanfei Huang
Hanzi Wang
SupR
30
52
0
24 Feb 2018
Training wide residual networks for deployment using a single bit for
  each weight
Training wide residual networks for deployment using a single bit for each weight
Mark D Mcdonnell
MQ
35
71
0
23 Feb 2018
End-to-end Audiovisual Speech Recognition
End-to-end Audiovisual Speech Recognition
Stavros Petridis
Themos Stafylakis
Pingchuan Ma
Feipeng Cai
Georgios Tzimiropoulos
M. Pantic
42
250
0
18 Feb 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured
  Prediction
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig
Moshiko Raboh
Gal Chechik
Jonathan Berant
Amir Globerson
GNN
OCL
29
133
0
15 Feb 2018
signSGD: Compressed Optimisation for Non-Convex Problems
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein
Yu-Xiang Wang
Kamyar Azizzadenesheli
Anima Anandkumar
FedML
ODL
44
1,021
0
13 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
35
38
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
37
21
0
10 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
15
983
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
30
129
0
07 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
18
1,574
0
05 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
32
51
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
25
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
30
121
0
30 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
43
335
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
32
9
0
18 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
39
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
36
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
30
1,452
0
13 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
47
538
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
28
305
0
09 Jan 2018
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
46
116
0
28 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
27
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
9
189
0
24 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
21
0
0
20 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
D. Song
J. Carbonell
ODL
35
46
0
15 Dec 2017
Deep Koalarization: Image Colorization using CNNs and
  Inception-ResNet-v2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
Federico Baldassarre
Diego Gonzalez Morin
Lucas Rodés-Guirao
32
104
0
09 Dec 2017
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural
  Networks
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan
Ying Xiao
Rif A. Saurous
ODL
16
19
0
08 Dec 2017
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for
  Deep Learning
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
José Lezama
Qiang Qiu
Pablo Musé
Guillermo Sapiro
35
78
0
05 Dec 2017
Compressed Video Action Recognition
Compressed Video Action Recognition
Chao-Yuan Wu
Manzil Zaheer
Hexiang Hu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
31
325
0
02 Dec 2017
Learning to Segment Moving Objects
Learning to Segment Moving Objects
P. Tokmakov
Cordelia Schmid
Alahari Karteek
VOS
36
97
0
01 Dec 2017
Real-time Semantic Image Segmentation via Spatial Sparsity
Real-time Semantic Image Segmentation via Spatial Sparsity
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
39
64
0
01 Dec 2017
Rank of Experts: Detection Network Ensemble
Rank of Experts: Detection Network Ensemble
Seung-Hwan Bae
Youngwan Lee
Y. Jo
Yuseok Bae
Joong-won Hwang
ObjD
31
5
0
01 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo
Yoshua Bengio
AAML
26
249
0
30 Nov 2017
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OOD
GNN
44
382
0
30 Nov 2017
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
25
2,095
0
29 Nov 2017
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks
  for Face Recognition
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition
Qiangchang Wang
G. Guo
Mohammad Iqbal Nouyed
CVBM
32
1
0
28 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
36
626
0
26 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
30
71
0
23 Nov 2017
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny
  Convolutional Networks
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Qiang Qiu
José Lezama
A. Bronstein
Guillermo Sapiro
23
8
0
22 Nov 2017
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian Sun
ObjD
22
364
0
20 Nov 2017
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