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Wide Residual Networks
v1v2v3v4 (latest)

Wide Residual Networks

23 May 2016
Sergey Zagoruyko
N. Komodakis
ArXiv (abs)PDFHTMLGithub (1306★)

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown
Title
Memory Attention Networks for Skeleton-based Action Recognition
Memory Attention Networks for Skeleton-based Action Recognition
Chunyu Xie
Ce Li
Baochang Zhang
Chong Chen
Jungong Han
C. Zou
Jianzhuang Liu
82
168
0
23 Apr 2018
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Stefan Kahl
Thomas Wilhelm-Stein
Holger Klinck
Danny Kowerko
Maximilian Eibl
35
28
0
19 Apr 2018
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in
  Affective Computing
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in Affective Computing
Che-Wei Huang
Shrikanth Narayanan
28
4
0
18 Apr 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
115
106
0
17 Apr 2018
MaxGain: Regularisation of Neural Networks by Constraining Activation
  Magnitudes
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes
Henry Gouk
Bernhard Pfahringer
E. Frank
M. Cree
64
7
0
16 Apr 2018
SparseNet: A Sparse DenseNet for Image Classification
SparseNet: A Sparse DenseNet for Image Classification
Wenqian Liu
Kun Zeng
3DH
79
32
0
15 Apr 2018
Heterogeneous Multilayer Generalized Operational Perceptron
Heterogeneous Multilayer Generalized Operational Perceptron
D. Tran
S. Kiranyaz
Moncef Gabbouj
Alexandros Iosifidis
72
67
0
13 Apr 2018
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese
  Bi-GRU for Multiple Object Tracking
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking
Cong Ma
Changshui Yang
Fan Yang
Yueqing Zhuang
Ziwei Zhang
Huizhu Jia
Xiaodong Xie
VOT
69
87
0
12 Apr 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk
E. Frank
Bernhard Pfahringer
M. Cree
182
484
0
12 Apr 2018
Model identification for ARMA time series through convolutional neural
  networks
Model identification for ARMA time series through convolutional neural networks
Wai Hoh Tang
A. Röllin
32
17
0
12 Apr 2018
Deep Neural Networks Motivated by Partial Differential Equations
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
161
493
0
12 Apr 2018
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
Huili Chen
B. Rouhani
F. Koushanfar
FedML
70
62
0
10 Apr 2018
Adversarial Training Versus Weight Decay
Adversarial Training Versus Weight Decay
A. Galloway
T. Tanay
Graham W. Taylor
AAML
70
23
0
10 Apr 2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image
  segmentation
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz
Karthik Gopinath
Jing Yuan
H. Lombaert
Christian Desrosiers
Ismail ben Ayed
3DH
72
439
0
09 Apr 2018
Training DNNs with Hybrid Block Floating Point
Training DNNs with Hybrid Block Floating Point
M. Drumond
Tao R. Lin
Martin Jaggi
Babak Falsafi
74
98
0
04 Apr 2018
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Yan Wang
Lingxi Xie
Siyuan Qiao
Ya Zhang
Wenjun Zhang
Alan Yuille
77
13
0
03 Apr 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep
  Learning Models
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models
B. Rouhani
Huili Chen
F. Koushanfar
130
48
0
02 Apr 2018
The Structure Transfer Machine Theory and Applications
The Structure Transfer Machine Theory and Applications
Baochang Zhang
Lian Zhuo
Ze Wang
Jiawei Han
Xiantong Zhen
OOD
75
6
0
01 Apr 2018
Parallel Grid Pooling for Data Augmentation
Parallel Grid Pooling for Data Augmentation
Akito Takeki
Daiki Ikami
Go Irie
Kiyoharu Aizawa
56
7
0
30 Mar 2018
Adversarial Network Compression
Adversarial Network Compression
Vasileios Belagiannis
Azade Farshad
Fabio Galasso
GANAAML
63
58
0
28 Mar 2018
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
90
1,062
0
28 Mar 2018
Efficient parametrization of multi-domain deep neural networks
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
86
366
0
27 Mar 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OODNoLa
156
1,433
0
24 Mar 2018
Context Encoding for Semantic Segmentation
Context Encoding for Semantic Segmentation
Hang Zhang
Kristin J. Dana
Jianping Shi
Zhongyue Zhang
Xiaogang Wang
A. Tyagi
Amit Agrawal
SSeg
104
1,254
0
23 Mar 2018
Classification of simulated radio signals using Wide Residual Networks
  for use in the search for extra-terrestrial intelligence
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence
G. Cox
S. Egly
G. Harp
J. Richards
S. Vinodababu
J. Voien
24
6
0
23 Mar 2018
Patch-Based Image Inpainting with Generative Adversarial Networks
Patch-Based Image Inpainting with Generative Adversarial Networks
Ugur Demir
Gözde B. Ünal
GAN
52
254
0
20 Mar 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
74
285
0
15 Mar 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedMLMoMe
231
1,676
0
14 Mar 2018
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Kai Xu
Dae Hoon Park
Chang Yi
Charles Sutton
HAIFAtt
69
26
0
11 Mar 2018
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
N. Gessert
M. Schlüter
Alexander Schlaefer
50
30
0
10 Mar 2018
Rethinking Feature Distribution for Loss Functions in Image
  Classification
Rethinking Feature Distribution for Loss Functions in Image Classification
Weitao Wan
Yuanyi Zhong
Tianpeng Li
Jiansheng Chen
80
168
0
08 Mar 2018
Exponential Discriminative Metric Embedding in Deep Learning
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu
Zhangling Chen
Jun Wang
Hua-Ming Wu
61
11
0
07 Mar 2018
Convergence of Gradient Descent on Separable Data
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson
Jason D. Lee
Suriya Gunasekar
Pedro H. P. Savarese
Nathan Srebro
Daniel Soudry
112
169
0
05 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
133
883
0
03 Mar 2018
Not All Samples Are Created Equal: Deep Learning with Importance
  Sampling
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Angelos Katharopoulos
François Fleuret
126
525
0
02 Mar 2018
Convolutional Neural Networks with Alternately Updated Clique
Convolutional Neural Networks with Alternately Updated Clique
Yibo Yang
Zhisheng Zhong
Tiancheng Shen
Zhouchen Lin
84
128
0
28 Feb 2018
Semi-Supervised Learning Enabled by Multiscale Deep Neural Network
  Inversion
Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion
Randall Balestriero
H. Glotin
Richard Baraniuk
BDL
115
5
0
27 Feb 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
T. Garipov
Pavel Izmailov
Dmitrii Podoprikhin
Dmitry Vetrov
A. Wilson
UQCV
134
758
0
27 Feb 2018
Wide Compression: Tensor Ring Nets
Wide Compression: Tensor Ring Nets
Wenqi Wang
Yifan Sun
Brian Eriksson
Wenlin Wang
Vaneet Aggarwal
69
171
0
25 Feb 2018
Functional Gradient Boosting based on Residual Network Perception
Functional Gradient Boosting based on Residual Network Perception
Atsushi Nitanda
Taiji Suzuki
81
27
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
108
53
0
24 Feb 2018
Adversarial vulnerability for any classifier
Adversarial vulnerability for any classifier
Alhussein Fawzi
Hamza Fawzi
Omar Fawzi
AAML
134
251
0
23 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
96
71
0
23 Feb 2018
SparCML: High-Performance Sparse Communication for Machine Learning
SparCML: High-Performance Sparse Communication for Machine Learning
Cédric Renggli
Saleh Ashkboos
Mehdi Aghagolzadeh
Dan Alistarh
Torsten Hoefler
91
127
0
22 Feb 2018
Learning Multiple Categories on Deep Convolution Networks
Learning Multiple Categories on Deep Convolution Networks
Mohamed Hajaj
D. Gillies
SSL
32
0
0
21 Feb 2018
Batch Normalization and the impact of batch structure on the behavior of
  deep convolution networks
Batch Normalization and the impact of batch structure on the behavior of deep convolution networks
Mohamed Hajaj
D. Gillies
FAtt
17
0
0
21 Feb 2018
Collaboratively Weighting Deep and Classic Representation via L2
  Regularization for Image Classification
Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification
Shaoning Zeng
Bob Zhang
Yanghao Zhang
Jianping Gou
43
19
0
21 Feb 2018
Generalization in Machine Learning via Analytical Learning Theory
Generalization in Machine Learning via Analytical Learning Theory
Kenji Kawaguchi
Yoshua Bengio
Vikas Verma
Leslie Pack Kaelbling
55
10
0
21 Feb 2018
i-RevNet: Deep Invertible Networks
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
101
334
0
20 Feb 2018
Do deep nets really need weight decay and dropout?
Do deep nets really need weight decay and dropout?
Alex Hernández-García
Peter König
113
27
0
20 Feb 2018
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