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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
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
BDLUQCV
128
35
0
08 Nov 2018
Characterizing Well-Behaved vs. Pathological Deep Neural Networks
Characterizing Well-Behaved vs. Pathological Deep Neural Networks
Mitchell Stern
53
0
0
07 Nov 2018
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
Zechun Liu
Wenhan Luo
Baoyuan Wu
Xin Yang
Wen Liu
K. Cheng
MQ
69
95
0
04 Nov 2018
Pushing the boundaries of audiovisual word recognition using Residual
  Networks and LSTMs
Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs
Themos Stafylakis
M. H. Khan
Georgios Tzimiropoulos
VLM
68
60
0
03 Nov 2018
Radius-margin bounds for deep neural networks
Radius-margin bounds for deep neural networks
Mayank Sharma
Jayadeva Jayadeva
Sumit Soman
AAML
42
1
0
03 Nov 2018
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCVTPM
183
625
0
02 Nov 2018
Single-Model Uncertainties for Deep Learning
Single-Model Uncertainties for Deep Learning
Natasa Tagasovska
David Lopez-Paz
UQCVBDL
337
25
0
02 Nov 2018
Modeling Conceptual Characteristics of Virtual Machines for CPU
  Utilization Prediction
Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction
Shengwei Chen
Yanyan Shen
Yanmin Zhu
29
5
0
01 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial
  Learning
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Wenbin Li
Wei Xiong
Haofu Liao
Jing Huo
Yang Gao
Jiebo Luo
GAN
109
44
0
01 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML3DPC
98
1,052
0
01 Nov 2018
Methods for Segmentation and Classification of Digital Microscopy Tissue
  Images
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
Q. Vu
S. Graham
Minh-Son To
Muhammad Shaban
Talha Qaiser
...
Tianhao Zhao
Rajarsi R. Gupta
J. T. Kwak
Nasir M. Rajpoot
Joel H. Saltz
129
274
0
31 Oct 2018
Structure Learning of Deep Neural Networks with Q-Learning
Structure Learning of Deep Neural Networks with Q-Learning
G. Zhong
Wencong Jiao
Wei Gao
67
0
0
31 Oct 2018
Attentive Filtering Networks for Audio Replay Attack Detection
Attentive Filtering Networks for Audio Replay Attack Detection
Cheng-I Jeff Lai
A. Abad
Korin Richmond
Junichi Yamagishi
Najim Dehak
Simon King
AAML
97
81
0
31 Oct 2018
Gather-Excite: Exploiting Feature Context in Convolutional Neural
  Networks
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Andrea Vedaldi
86
582
0
29 Oct 2018
Logit Pairing Methods Can Fool Gradient-Based Attacks
Logit Pairing Methods Can Fool Gradient-Based Attacks
Marius Mosbach
Maksym Andriushchenko
T. A. Trost
Matthias Hein
Dietrich Klakow
AAML
68
83
0
29 Oct 2018
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
Andrew Hundt
Varun Jain
Chia-Hung Lin
Chris Paxton
Gregory Hager
83
12
0
27 Oct 2018
3D MRI brain tumor segmentation using autoencoder regularization
3D MRI brain tumor segmentation using autoencoder regularization
Andriy Myronenko
113
1,056
0
27 Oct 2018
$A^2$-Nets: Double Attention Networks
A2A^2A2-Nets: Double Attention Networks
Yunpeng Chen
Yannis Kalantidis
Jianshu Li
Shuicheng Yan
Jiashi Feng
98
533
0
27 Oct 2018
Structure Learning of Deep Networks via DNA Computing Algorithm
Structure Learning of Deep Networks via DNA Computing Algorithm
G. Zhong
Tao Li
Wenxue Liu
Yang Chen
38
4
0
25 Oct 2018
Image-based Natural Language Understanding Using 2D Convolutional Neural
  Networks
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks
Erinc Merdivan
Anastasios Vafeiadis
D. Kalatzis
S. Hanke
J. Kropf
...
Dimitrios Giakoumis
Dimitrios Tzovaras
Liming Chen
R. Hamzaoui
Matthieu Geist
VLM
44
2
0
24 Oct 2018
Understanding and correcting pathologies in the training of learned
  optimizers
Understanding and correcting pathologies in the training of learned optimizers
Luke Metz
Niru Maheswaranathan
Jeremy Nixon
C. Freeman
Jascha Narain Sohl-Dickstein
ODL
104
149
0
24 Oct 2018
DropFilter: Dropout for Convolutions
DropFilter: Dropout for Convolutions
Zhengsu Chen
35
4
0
23 Oct 2018
Two-path 3D CNNs for calibration of system parameters for OCT-based
  motion compensation
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation
N. Gessert
M. Gromniak
M. Schlüter
Alexander Schlaefer
18
2
0
22 Oct 2018
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
114
188
0
22 Oct 2018
Depth with Nonlinearity Creates No Bad Local Minima in ResNets
Depth with Nonlinearity Creates No Bad Local Minima in ResNets
Kenji Kawaguchi
Yoshua Bengio
ODL
104
64
0
21 Oct 2018
Sequenced-Replacement Sampling for Deep Learning
Sequenced-Replacement Sampling for Deep Learning
C. Ho
Dae Hoon Park
Wei Yang
Yi Chang
35
0
0
19 Oct 2018
KTAN: Knowledge Transfer Adversarial Network
KTAN: Knowledge Transfer Adversarial Network
Peiye Liu
Wu Liu
Huadong Ma
Tao Mei
Mingoo Seok
GAN
86
28
0
18 Oct 2018
Decoupling Semantic Context and Color Correlation with multi-class cross
  branch regularization
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
Vishal Keshav
L. TejpratapG.V.S.
40
3
0
18 Oct 2018
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
165
130
0
16 Oct 2018
Unsupervised Deep Features for Remote Sensing Image Matching via
  Discriminator Network
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
Fnu Mohbat
Numan Khurshid
M. Taj
71
15
0
15 Oct 2018
Channel Splitting Network for Single MR Image Super-Resolution
Channel Splitting Network for Single MR Image Super-Resolution
Xiaole Zhao
Yulun Zhang
Zhang Tao
Xueming Zou
SupR
88
140
0
15 Oct 2018
Playing for Depth
Playing for Depth
M. M. Haji-Esmaeili
G. Montazer
39
2
0
15 Oct 2018
Efficient Augmentation via Data Subsampling
Efficient Augmentation via Data Subsampling
Michael Kuchnik
Virginia Smith
120
22
0
11 Oct 2018
Learning Embeddings for Product Visual Search with Triplet Loss and
  Online Sampling
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling
Eric Dodds
Huy Nguyen
Simão Herdade
Jack Culpepper
Andrew Kae
Pierre Garrigues
DML
51
5
0
10 Oct 2018
Penetrating the Fog: the Path to Efficient CNN Models
Penetrating the Fog: the Path to Efficient CNN Models
Kun Wan
Boyuan Feng
Shu Yang
Yufei Ding
38
0
0
09 Oct 2018
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains
  for Unsupervised CAD-based Recognition
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition
Benjamin Planche
Sergey Zakharov
Ziyan Wu
Andreas Hutter
H. Kosch
Slobodan Ilic
GANOOD
49
11
0
09 Oct 2018
Deep residual networks for automatic sleep stage classification of raw
  polysomnographic waveforms
Deep residual networks for automatic sleep stage classification of raw polysomnographic waveforms
A. N. Olesen
P. Jennum
P. Peppard
Emmanuel Mignot
H. Sørensen
61
26
0
08 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
89
81
0
08 Oct 2018
Fast Object Learning and Dual-arm Coordination for Cluttered Stowing,
  Picking, and Packing
Fast Object Learning and Dual-arm Coordination for Cluttered Stowing, Picking, and Packing
Max Schwarz
Christian Lenz
Germán Martín García
Seongyong Koo
Arul Selvam Periyasamy
M. Schreiber
Sven Behnke
73
77
0
06 Oct 2018
Multi-view X-ray R-CNN
Multi-view X-ray R-CNN
Jan-Martin O. Steitz
Faraz Saeedan
Stefan Roth
56
25
0
04 Oct 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSLOffRL
117
230
0
04 Oct 2018
Analysis of Diffractive Optical Neural Networks and Their Integration
  with Electronic Neural Networks
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
Deniz Mengu
Yilin Luo
Y. Rivenson
Aydogan Ozcan
148
149
0
03 Oct 2018
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for
  DenseNets
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
Mingjie Wang
Jun Zhou
Wendong Mao
Minglun Gong
36
9
0
02 Oct 2018
Learning Hash Codes via Hamming Distance Targets
Learning Hash Codes via Hamming Distance Targets
M. Lončarić
Bowei Liu
Ryan Weber
MQ
113
4
0
01 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss
Chris Finlay
Adam M. Oberman
B. Abbasi
80
34
0
01 Oct 2018
Classification from Positive, Unlabeled and Biased Negative Data
Classification from Positive, Unlabeled and Biased Negative Data
Yu-Guan Hsieh
Gang Niu
Masashi Sugiyama
66
80
0
01 Oct 2018
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse
Sangkug Lym
Armand Behroozi
W. Wen
Ge Li
Yongkee Kwon
M. Erez
41
26
0
30 Sep 2018
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized
  Dropout
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
Kun Wan
Boyuan Feng
Lingwei Xie
Yufei Ding
58
11
0
28 Sep 2018
Learning Pose Estimation for High-Precision Robotic Assembly Using
  Simulated Depth Images
Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images
Yuval Litvak
Armin Biess
Aharon Bar-Hillel
69
41
0
27 Sep 2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image
  Segmentation
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Hyunjin Park
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
...
Jakob Wasserthal
Gregor Koehler
T. Norajitra
Sebastian J. Wirkert
Klaus H. Maier-Hein
SSeg
132
795
0
27 Sep 2018
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