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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
Moonshine: Distilling with Cheap Convolutions
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
87
121
0
07 Nov 2017
Remote Sensing Image Fusion Based on Two-stream Fusion Network
Remote Sensing Image Fusion Based on Two-stream Fusion Network
Xiangyu Liu
Qingjie Liu
Yunhong Wang
99
309
0
07 Nov 2017
Single Image Super-Resolution Using Lightweight CNN with Maxout Units
Single Image Super-Resolution Using Lightweight CNN with Maxout Units
Jae-Seok Choi
Munchurl Kim
SupR
57
2
0
07 Nov 2017
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep
  Neural Networks
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Koster
T. Webb
Xin Eric Wang
Marcel Nassar
Arjun K. Bansal
...
Luke Hornof
A. Khosrowshahi
Carey Kloss
Ruby J. Pai
N. Rao
MQ
57
262
0
06 Nov 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
164
1,068
0
06 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
176
1,058
0
05 Nov 2017
One Model to Rule them all: Multitask and Multilingual Modelling for
  Lexical Analysis
One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis
Johannes Bjerva
41
6
0
03 Nov 2017
TasNet: time-domain audio separation network for real-time,
  single-channel speech separation
TasNet: time-domain audio separation network for real-time, single-channel speech separation
Yi Luo
N. Mesgarani
104
633
0
01 Nov 2017
Learning One-hidden-layer Neural Networks with Landscape Design
Learning One-hidden-layer Neural Networks with Landscape Design
Rong Ge
Jason D. Lee
Tengyu Ma
MLT
218
262
0
01 Nov 2017
Data, Depth, and Design: Learning Reliable Models for Skin Lesion
  Analysis
Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis
Eduardo Valle
Michel Fornaciali
Afonso Menegola
Julia Tavares
F. Bittencourt
Lin Tzy Li
Sandra Avila
79
25
0
01 Nov 2017
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
171
930
0
01 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
98
233
0
01 Nov 2017
Deep word embeddings for visual speech recognition
Deep word embeddings for visual speech recognition
Themos Stafylakis
Georgios Tzimiropoulos
63
19
0
30 Oct 2017
CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble
  Behavior
CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior
Xiang Zhang
Nishant Vishwamitra
Hongxin Hu
Feng Luo
35
2
0
30 Oct 2017
Open Set Logo Detection and Retrieval
Open Set Logo Detection and Retrieval
Andras Tüzkö
C. Herrmann
D. Manger
Jürgen Beyerer
3DVVLM
78
51
0
30 Oct 2017
How deep learning works --The geometry of deep learning
How deep learning works --The geometry of deep learning
Xiao Dong
Jiasong Wu
Ling Zhou
GNN
64
8
0
30 Oct 2017
Cascade Region Proposal and Global Context for Deep Object Detection
Cascade Region Proposal and Global Context for Deep Object Detection
Qiaoyong Zhong
Chao Li
Yingying Zhang
Di Xie
Shicai Yang
Shiliang Pu
ObjD
62
55
0
30 Oct 2017
A Bayesian Data Augmentation Approach for Learning Deep Models
A Bayesian Data Augmentation Approach for Learning Deep Models
Toan M. Tran
Trung T. Pham
G. Carneiro
L. Palmer
Ian Reid
76
234
0
29 Oct 2017
Sample-level CNN Architectures for Music Auto-tagging Using Raw
  Waveforms
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
Taejun Kim
Jongpil Lee
Juhan Nam
3DV
75
93
0
28 Oct 2017
Dual Skipping Networks
Dual Skipping Networks
Changmao Cheng
Yanwei Fu
Yu-Gang Jiang
Wei Liu
Wenlian Lu
Jianfeng Feng
Xiangyang Xue
46
1
0
28 Oct 2017
Multi-Task Learning by Deep Collaboration and Application in Facial
  Landmark Detection
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
CVBM
72
13
0
28 Oct 2017
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and
  Numerical Differential Equations
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu
Aoxiao Zhong
Quanzheng Li
Bin Dong
228
505
0
27 Oct 2017
Deep Illumination: Approximating Dynamic Global Illumination with
  Generative Adversarial Network
Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Network
M. M. Thomas
A. Forbes
3DV
53
25
0
26 Oct 2017
PDE-Net: Learning PDEs from Data
PDE-Net: Learning PDEs from Data
Zichao Long
Yiping Lu
Xianzhong Ma
Bin Dong
DiffMAI4CE
119
761
0
26 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
323
9,831
0
25 Oct 2017
Human-in-the-loop Artificial Intelligence
Human-in-the-loop Artificial Intelligence
Fabio Massimo Zanzotto
88
269
0
23 Oct 2017
ActivityNet Challenge 2017 Summary
ActivityNet Challenge 2017 Summary
Guohao Li
Juan Carlos Niebles
Cees G. M. Snoek
Fabian Caba Heilbron
Humam Alwassel
Ranjay Krishna
Victor Escorcia
Kenji Hata
S. Buch
110
48
0
22 Oct 2017
Spontaneous Symmetry Breaking in Neural Networks
Spontaneous Symmetry Breaking in Neural Networks
R. Fok
Aijun An
Xiaogang Wang
28
4
0
17 Oct 2017
Boosting Adversarial Attacks with Momentum
Boosting Adversarial Attacks with Momentum
Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
AAML
112
85
0
17 Oct 2017
Searching for Activation Functions
Searching for Activation Functions
Prajit Ramachandran
Barret Zoph
Quoc V. Le
97
612
0
16 Oct 2017
Generalization in Deep Learning
Generalization in Deep Learning
Kenji Kawaguchi
L. Kaelbling
Yoshua Bengio
ODL
183
460
0
16 Oct 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and
  Optimization
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh
Tackgeun You
Jonghwan Mun
Bohyung Han
NoLa
73
201
0
14 Oct 2017
Retinal Vasculature Segmentation Using Local Saliency Maps and
  Generative Adversarial Networks For Image Super Resolution
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution
Dwarikanath Mahapatra
Behzad Bozorgtabar
MedImGAN
62
40
0
13 Oct 2017
Residual Connections Encourage Iterative Inference
Residual Connections Encourage Iterative Inference
Stanislaw Jastrzebski
Devansh Arpit
Nicolas Ballas
Vikas Verma
Tong Che
Yoshua Bengio
95
156
0
13 Oct 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
192
1,811
0
10 Oct 2017
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
Jiaqi Guan
Yang Liu
Qiang Liu
Jian-wei Peng
68
33
0
10 Oct 2017
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Ke Zhang
Ce Gao
Liru Guo
Miao Sun
Xingfang Yuan
T. Han
Zhenbing Zhao
Baogang Li
CVBM
56
114
0
09 Oct 2017
Projection Based Weight Normalization for Deep Neural Networks
Projection Based Weight Normalization for Deep Neural Networks
Lei Huang
Xianglong Liu
B. Lang
Yue Liu
65
18
0
06 Oct 2017
Efficient K-Shot Learning with Regularized Deep Networks
Efficient K-Shot Learning with Regularized Deep Networks
Donghyun Yoo
Haoqi Fan
Vishnu Boddeti
Kris Kitani
50
31
0
06 Oct 2017
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid
  Networks
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
99
775
0
04 Oct 2017
Monitoring tool usage in surgery videos using boosted convolutional and
  recurrent neural networks
Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks
Hassan Al Hajj
M. Lamard
Pierre-Henri Conze
B. Cochener
G. Quellec
70
3
0
04 Oct 2017
Deep Competitive Pathway Networks
Deep Competitive Pathway Networks
Jia-Ren Chang
Yonghao Chen
16
0
0
29 Sep 2017
Riemannian approach to batch normalization
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
85
94
0
27 Sep 2017
Comparison of Batch Normalization and Weight Normalization Algorithms
  for the Large-scale Image Classification
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification
Igor Gitman
Boris Ginsburg
59
65
0
24 Sep 2017
Semantic Segmentation from Limited Training Data
Semantic Segmentation from Limited Training Data
Anton Milan
Trung T. Pham
B. V. Kumar
D. Morrison
Adam W. Tow
...
Christopher F. Lehnert
G. Lin
Ian Reid
Peter Corke
Jurgen Leitner
69
51
0
22 Sep 2017
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural
  Networks
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks
Xuanyi Dong
Guoliang Kang
Kun Zhan
Yi Yang
57
16
0
22 Sep 2017
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic
  Generative Adversarial Networks
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
Wei Xiong
Wenhan Luo
Lin Ma
Wen Liu
Jiebo Luo
GAN
99
182
0
22 Sep 2017
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D
  for Pose-Invariant Face Recognition
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Xiang Xu
Pengfei Dou
Ha A. Le
I. Kakadiaris
CVBM
52
2
0
19 Sep 2017
Rethink ReLU to Training Better CNNs
Rethink ReLU to Training Better CNNs
Gangming Zhao
Zhaoxiang Zhang
He Guan
Peng Tang
Jingdong Wang
55
6
0
19 Sep 2017
Coupled Ensembles of Neural Networks
Coupled Ensembles of Neural Networks
Anuvabh Dutt
D. Pellerin
Georges Quénot
OOD
69
35
0
18 Sep 2017
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