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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
Understanding the Impact of Label Granularity on CNN-based Image
  Classification
Understanding the Impact of Label Granularity on CNN-based Image Classification
Zhuo Chen
Ruizhou Ding
Ting-Wu Chin
Diana Marculescu
59
35
0
21 Jan 2019
Training Neural Networks with Local Error Signals
Training Neural Networks with Local Error Signals
Arild Nøkland
L. Eidnes
112
228
0
20 Jan 2019
Removal of Batch Effects using Generative Adversarial Networks
Removal of Batch Effects using Generative Adversarial Networks
Uddeshya Upadhyay
Arjun Jain
CML
17
7
0
20 Jan 2019
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion
  Network
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network
Xiaole Zhao
Huali Zhang
Hangfei Liu
Yun Qin
Zhang Tao
Xueming Zou
SupR
53
25
0
19 Jan 2019
Diverse mini-batch Active Learning
Diverse mini-batch Active Learning
Fedor Zhdanov
76
156
0
17 Jan 2019
Bayesian Learning of Neural Network Architectures
Bayesian Learning of Neural Network Architectures
G. Dikov
Patrick van der Smagt
Justin Bayer
BDL
129
30
0
14 Jan 2019
How does Disagreement Help Generalization against Label Corruption?
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu
Bo Han
Jiangchao Yao
Gang Niu
Ivor W. Tsang
Masashi Sugiyama
NoLa
96
789
0
14 Jan 2019
Towards Testing of Deep Learning Systems with Training Set Reduction
Towards Testing of Deep Learning Systems with Training Set Reduction
Helge Spieker
A. Gotlieb
63
9
0
14 Jan 2019
Neural network gradient-based learning of black-box function interfaces
Neural network gradient-based learning of black-box function interfaces
Alon Jacovi
Guy Hadash
Einat Kermany
Boaz Carmeli
Ofer Lavi
George Kour
Jonathan Berant
48
13
0
13 Jan 2019
Generating Adversarial Perturbation with Root Mean Square Gradient
Yatie Xiao
Chi-Man Pun
Jizhe Zhou
GAN
33
1
0
13 Jan 2019
The Deeper, the Better: Analysis of Person Attributes Recognition
The Deeper, the Better: Analysis of Person Attributes Recognition
Esube Bekele
W. Lawson
CVBM
128
21
0
11 Jan 2019
FishNet: A Versatile Backbone for Image, Region, and Pixel Level
  Prediction
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
Shuyang Sun
Jiangmiao Pang
Jianping Shi
Shuai Yi
Wanli Ouyang
119
101
0
11 Jan 2019
On the Turing Completeness of Modern Neural Network Architectures
On the Turing Completeness of Modern Neural Network Architectures
Jorge A. Pérez
Javier Marinkovic
Pablo Barceló
BDL
75
146
0
10 Jan 2019
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual
  Representation Learning
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
Baoyuan Wu
Weidong Chen
Yanbo Fan
Yong Zhang
Jinlong Hou
Jie Liu
Tong Zhang
VLMMLLM
99
87
0
07 Jan 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels
Learning Sound Event Classifiers from Web Audio with Noisy Labels
Eduardo Fonseca
Manoj Plakal
D. Ellis
F. Font
Xavier Favory
Xavier Serra
NoLa
78
111
0
04 Jan 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
174
840
0
04 Jan 2019
Multi-class Classification without Multi-class Labels
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
96
168
0
02 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and
  Classification: A Review
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna
S. M. Sait
A. El-Maleh
72
380
0
01 Jan 2019
Gated-Dilated Networks for Lung Nodule Classification in CT scans
Gated-Dilated Networks for Lung Nodule Classification in CT scans
M. Al-Shabi
H. Lee
Maxine Tan
MedIm
62
46
0
01 Jan 2019
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation
  Function for Neural Networks
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks
Swalpa Kumar Roy
Suvojit Manna
S. Dubey
B. B. Chaudhuri
95
50
0
01 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana
Hugo J. Kuijf
Bjoern Menze
M. Reyes
Verónica Vilaplana
71
196
0
30 Dec 2018
Monte-Carlo Sampling applied to Multiple Instance Learning for
  Histological Image Classification
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia
João Paulo Papa
81
83
0
30 Dec 2018
Autoencoder Based Residual Deep Networks for Robust Regression
  Prediction and Spatiotemporal Estimation
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation
Lianfa Li
Ying Fang
Jun Wu
Jinfeng Wang
32
13
0
29 Dec 2018
Stanza: Layer Separation for Distributed Training in Deep Learning
Stanza: Layer Separation for Distributed Training in Deep Learning
Xiaorui Wu
Hongao Xu
Bo Li
Y. Xiong
MoE
61
9
0
27 Dec 2018
Deep Learning based Early Detection and Grading of Diabetic Retinopathy
  Using Retinal Fundus Images
Deep Learning based Early Detection and Grading of Diabetic Retinopathy Using Retinal Fundus Images
S. M. S. Islam
Md Golam Moula Mehedi Hasan
Sohaib Abdullah
53
75
0
27 Dec 2018
Precision Highway for Ultra Low-Precision Quantization
Precision Highway for Ultra Low-Precision Quantization
Eunhyeok Park
Dongyoung Kim
S. Yoo
Peter Vajda
MQAI4TS
155
12
0
24 Dec 2018
Chinese Herbal Recognition based on Competitive Attentional Fusion of
  Multi-hierarchies Pyramid Features
Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features
Yingxue Xu
Guihua Wen
Yang Hu
Mingnan Luo
Dan Dai
Y. Zhuang
MedIm
27
1
0
23 Dec 2018
Learning Compositional Representations for Few-Shot Recognition
Learning Compositional Representations for Few-Shot Recognition
P. Tokmakov
Yu-Xiong Wang
M. Hebert
OCL
98
126
0
21 Dec 2018
A Multiscale Image Denoising Algorithm Based On Dilated Residual
  Convolution Network
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
Chang Liu
Zhaowei Shang
Anyong Qin
47
16
0
21 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.2K
5,604
0
20 Dec 2018
Fast Adjustable Threshold For Uniform Neural Network Quantization
  (Winning solution of LPIRC-II)
Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)
A. Goncharenko
Andrey Denisov
S. Alyamkin
Evgeny Terentev
MQ
56
20
0
19 Dec 2018
Attending Category Disentangled Global Context for Image Classification
Keke Tang
Guodong Wei
Runnan Chen
Jie Zhu
Zhaoquan Gu
Wenping Wang
42
0
0
17 Dec 2018
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in
  Multi-Tissue Histology Images
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images
S. Graham
Q. Vu
S. Raza
A. Azam
Yee Wah Tsang
J. T. Kwak
Nasir M. Rajpoot
117
1,046
0
16 Dec 2018
Hierarchical Discrete Distribution Decomposition for Match Density
  Estimation
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Zhichao Yin
Trevor Darrell
Feng Yu
3DV
148
247
0
15 Dec 2018
IRLAS: Inverse Reinforcement Learning for Architecture Search
IRLAS: Inverse Reinforcement Learning for Architecture Search
Minghao Guo
Zhaobai Zhong
Wei Wu
Dahua Lin
Junjie Yan
3DV
105
37
0
13 Dec 2018
Learning to Learn from Noisy Labeled Data
Learning to Learn from Noisy Labeled Data
Junnan Li
Yongkang Wong
Qi Zhao
Mohan Kankanhalli
NoLa
84
334
0
13 Dec 2018
Controlling Covariate Shift using Balanced Normalization of Weights
Controlling Covariate Shift using Balanced Normalization of Weights
Aaron Defazio
Léon Bottou
23
0
0
11 Dec 2018
Layer-Parallel Training of Deep Residual Neural Networks
Layer-Parallel Training of Deep Residual Neural Networks
Stefanie Günther
Lars Ruthotto
J. Schroder
E. Cyr
N. Gauger
90
90
0
11 Dec 2018
Non-local U-Net for Biomedical Image Segmentation
Non-local U-Net for Biomedical Image Segmentation
Zhengyang Wang
Na Zou
Dinggang Shen
Shuiwang Ji
SSeg
25
6
0
10 Dec 2018
Improving Model-Based Control and Active Exploration with Reconstruction
  Uncertainty Optimization
Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization
Norman Di Palo
Harri Valpola
21
3
0
10 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li
S. Bai
Yuyin Zhou
Cihang Xie
Zhishuai Zhang
Alan Yuille
AAML
132
137
0
09 Dec 2018
ShuffleNASNets: Efficient CNN models through modified Efficient Neural
  Architecture Search
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search
Kevin Laube
A. Zell
UQCV
63
10
0
07 Dec 2018
Neural Word Search in Historical Manuscript Collections
Neural Word Search in Historical Manuscript Collections
T. Wilkinson
Jonas Lindström
Anders Brun
3DV
45
8
0
06 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings
Cross-Domain 3D Equivariant Image Embeddings
Carlos Esteves
Avneesh Sud
Zhengyi Luo
Kostas Daniilidis
A. Makadia
3DPC
78
22
0
06 Dec 2018
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
87
6
0
06 Dec 2018
Elastic Gossip: Distributing Neural Network Training Using Gossip-like
  Protocols
Elastic Gossip: Distributing Neural Network Training Using Gossip-like Protocols
Siddharth Pramod
FedML
38
2
0
06 Dec 2018
Simultaneous Recognition of Horizontal and Vertical Text in Natural
  Images
Simultaneous Recognition of Horizontal and Vertical Text in Natural Images
Chankyu Choi
Youngmin Yoon
Junsu Lee
Junseok Kim
42
13
0
06 Dec 2018
Adapting Auxiliary Losses Using Gradient Similarity
Adapting Auxiliary Losses Using Gradient Similarity
Yunshu Du
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Mehrdad Farajtabar
Razvan Pascanu
Balaji Lakshminarayanan
132
159
0
05 Dec 2018
Learning 3D Human Dynamics from Video
Learning 3D Human Dynamics from Video
Yang Liu
Jason Y. Zhang
Lei Lin
Jitendra Malik
3DH
145
518
0
04 Dec 2018
Protection Against Reconstruction and Its Applications in Private
  Federated Learning
Protection Against Reconstruction and Its Applications in Private Federated Learning
Abhishek Bhowmick
John C. Duchi
Julien Freudiger
Gaurav Kapoor
Ryan M. Rogers
FedML
99
362
0
03 Dec 2018
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