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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
On Lazy Training in Differentiable Programming
On Lazy Training in Differentiable Programming
Lénaïc Chizat
Edouard Oyallon
Francis R. Bach
111
840
0
19 Dec 2018
Convolutional herbal prescription building method from multi-scale
  facial features
Convolutional herbal prescription building method from multi-scale facial features
Huiqiang Liao
Guihua Wen
Yang Hu
Changjun Wang
CVBMMedIm
41
10
0
17 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
Trust Region Based Adversarial Attack on Neural Networks
Trust Region Based Adversarial Attack on Neural Networks
Z. Yao
A. Gholami
Peng Xu
Kurt Keutzer
Michael W. Mahoney
AAML
64
55
0
16 Dec 2018
When Semi-Supervised Learning Meets Transfer Learning: Training
  Strategies, Models and Datasets
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
Hong-Yu Zhou
Avital Oliver
Jianxin Wu
Yefeng Zheng
73
22
0
13 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
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
233
745
0
12 Dec 2018
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
197
1,491
0
11 Dec 2018
On the Ineffectiveness of Variance Reduced Optimization for Deep
  Learning
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning
Aaron Defazio
Léon Bottou
UQCVDRL
93
113
0
11 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial
  Training
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi
Thomas Brox
J. H. Metzen
AAML
84
60
0
10 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
205
671
0
10 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs
Harmonic Networks: Integrating Spectral Information into CNNs
Matej Ulicny
V. Krylov
Rozenn Dahyot
97
7
0
07 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
MMA Training: Direct Input Space Margin Maximization through Adversarial
  Training
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
G. Ding
Yash Sharma
Kry Yik-Chau Lui
Ruitong Huang
AAML
112
274
0
06 Dec 2018
Trained Rank Pruning for Efficient Deep Neural Networks
Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu
Yuxi Li
Shuai Zhang
W. Wen
Botao Wang
Y. Qi
Yiran Chen
Weiyao Lin
H. Xiong
AAML
99
42
0
06 Dec 2018
Teacher-Student Compression with Generative Adversarial Networks
Teacher-Student Compression with Generative Adversarial Networks
Ruishan Liu
Nicolò Fusi
Lester W. Mackey
74
17
0
05 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial
  Examples
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Huangyi Ge
Sze Yiu Chau
Bruno Ribeiro
Ninghui Li
AAML
41
1
0
05 Dec 2018
Parameter Re-Initialization through Cyclical Batch Size Schedules
Parameter Re-Initialization through Cyclical Batch Size Schedules
Norman Mu
Z. Yao
A. Gholami
Kurt Keutzer
Michael W. Mahoney
ODL
70
8
0
04 Dec 2018
Deep Cosine Metric Learning for Person Re-Identification
Deep Cosine Metric Learning for Person Re-Identification
N. Wojke
Alex Bewley
131
357
0
02 Dec 2018
Stochastic Training of Residual Networks: a Differential Equation
  Viewpoint
Stochastic Training of Residual Networks: a Differential Equation Viewpoint
Qi Sun
Yunzhe Tao
Q. Du
76
24
0
01 Dec 2018
Snapshot Distillation: Teacher-Student Optimization in One Generation
Snapshot Distillation: Teacher-Student Optimization in One Generation
Chenglin Yang
Lingxi Xie
Chi Su
Alan Yuille
84
193
0
01 Dec 2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete
  Back Propagation
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu
Ce Li
Baochang Zhang
Jiawei Han
Xianbin Cao
Jianzhuang Liu
David Doermann
3DV
243
87
0
30 Nov 2018
Virtual Class Enhanced Discriminative Embedding Learning
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen
Weihong Deng
Haifeng Shen
53
45
0
30 Nov 2018
Universal Adversarial Training
Universal Adversarial Training
A. Mendrik
Mahyar Najibi
Zheng Xu
John P. Dickerson
L. Davis
Tom Goldstein
AAMLOOD
102
190
0
27 Nov 2018
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and
  Robust Accuracies
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
Bao Wang
Binjie Yuan
Zuoqiang Shi
Stanley J. Osher
AAMLOOD
78
15
0
26 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust
  Models Against Adversarial Attacks
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
Jianyu Wang
Haichao Zhang
OODAAML
87
119
0
26 Nov 2018
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic
  Programming
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming
Yiheng Zhu
Yichen Yao
Zili Wu
Yujie Chen
Guozheng Li
Haoyuan Hu
Yinghui Xu
48
6
0
26 Nov 2018
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep
  LearningInference in Function as a Service Environments
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments
Abdul Dakkak
Cheng-rong Li
Simon Garcia De Gonzalo
Jinjun Xiong
Wen-mei W. Hwu
50
19
0
24 Nov 2018
Automatic lesion boundary detection in dermoscopy
Automatic lesion boundary detection in dermoscopy
Glib Kechyn
MedIm
42
2
0
23 Nov 2018
Robustness via curvature regularization, and vice versa
Robustness via curvature regularization, and vice versa
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
J. Uesato
P. Frossard
AAML
108
319
0
23 Nov 2018
Decoupling Direction and Norm for Efficient Gradient-Based L2
  Adversarial Attacks and Defenses
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony
L. G. Hafemann
Luiz Eduardo Soares de Oliveira
Ismail Ben Ayed
R. Sabourin
Eric Granger
AAML
78
299
0
23 Nov 2018
Structured Pruning of Neural Networks with Budget-Aware Regularization
Structured Pruning of Neural Networks with Budget-Aware Regularization
Carl Lemaire
Andrew Achkar
Pierre-Marc Jodoin
79
94
0
23 Nov 2018
Strength in Numbers: Trading-off Robustness and Computation via
  Adversarially-Trained Ensembles
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles
Edward Grefenstette
Robert Stanforth
Brendan O'Donoghue
J. Uesato
G. Swirszcz
Pushmeet Kohli
AAML
80
18
0
22 Nov 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi
Takashi Matsubara
K. Uehara
102
331
0
22 Nov 2018
Pneumonia Detection in Chest Radiographs
Pneumonia Detection in Chest Radiographs
The DeepRadiology Team
32
18
0
21 Nov 2018
Single-Label Multi-Class Image Classification by Deep Logistic
  Regression
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Qi Dong
Xiatian Zhu
S. Gong
67
34
0
20 Nov 2018
Lightweight Lipschitz Margin Training for Certified Defense against
  Adversarial Examples
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples
Hajime Ono
Tsubasa Takahashi
Kazuya Kakizaki
AAML
49
4
0
20 Nov 2018
Self-Referenced Deep Learning
Self-Referenced Deep Learning
Xu Lan
Xiatian Zhu
S. Gong
130
24
0
19 Nov 2018
Deep Frank-Wolfe For Neural Network Optimization
Deep Frank-Wolfe For Neural Network Optimization
Leonard Berrada
Andrew Zisserman
M. P. Kumar
ODL
67
40
0
19 Nov 2018
Deep Active Learning with a Neural Architecture Search
Deep Active Learning with a Neural Architecture Search
Yonatan Geifman
Ran El-Yaniv
AI4CE
90
45
0
19 Nov 2018
A Variational Dirichlet Framework for Out-of-Distribution Detection
A Variational Dirichlet Framework for Out-of-Distribution Detection
Wenhu Chen
Yilin Shen
Xin Eric Wang
Wenjie Wang
UQCV
67
9
0
18 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural
  Networks and Humans
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans
T. Ho-Phuoc
65
42
0
18 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise
  Separable Convolution
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution
Van-Thanh Hoang
K. Jo
58
3
0
17 Nov 2018
Residual Convolutional Neural Network Revisited with Active Weighted
  Mapping
Residual Convolutional Neural Network Revisited with Active Weighted Mapping
HyoungHo Jung
Ryong Lee
Sanghwan Lee
Wonjun Hwang
28
5
0
16 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN
  Features with a Feature Selector
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Chen Du
Chunheng Wang
Yanna Wang
Cunzhao Shi
Baihua Xiao
51
43
0
15 Nov 2018
Drop-Activation: Implicit Parameter Reduction and Harmonic
  Regularization
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization
Senwei Liang
Y. Khoo
Haizhao Yang
AI4CE
28
1
0
14 Nov 2018
Sorting out Lipschitz function approximation
Sorting out Lipschitz function approximation
Cem Anil
James Lucas
Roger C. Grosse
98
325
0
13 Nov 2018
Learning data augmentation policies using augmented random search
Learning data augmentation policies using augmented random search
Mingyang Geng
Kele Xu
Bo Ding
Huaimin Wang
Lei Zhang
56
9
0
12 Nov 2018
Integrating Multiple Receptive Fields through Grouped Active Convolution
Integrating Multiple Receptive Fields through Grouped Active Convolution
Yunho Jeon
Junmo Kim
47
3
0
11 Nov 2018
A Convergence Theory for Deep Learning via Over-Parameterization
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
AI4CEODL
308
1,472
0
09 Nov 2018
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