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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
Removing the Feature Correlation Effect of Multiplicative Noise
Removing the Feature Correlation Effect of Multiplicative Noise
Zijun Zhang
Yining Zhang
Zongpeng Li
66
8
0
19 Sep 2018
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
66
86
0
17 Sep 2018
Network Recasting: A Universal Method for Network Architecture
  Transformation
Network Recasting: A Universal Method for Network Architecture Transformation
Joonsang Yu
Sungbum Kang
Kiyoung Choi
33
1
0
14 Sep 2018
MotherNets: Rapid Deep Ensemble Learning
MotherNets: Rapid Deep Ensemble Learning
Abdul Wasay
Brian Hentschel
Yuze Liao
Sanyuan Chen
Stratos Idreos
58
35
0
12 Sep 2018
On the Structural Sensitivity of Deep Convolutional Networks to the
  Directions of Fourier Basis Functions
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
Yusuke Tsuzuku
Issei Sato
AAML
84
62
0
11 Sep 2018
Probabilistic Binary Neural Networks
Probabilistic Binary Neural Networks
Jorn W. T. Peters
Max Welling
BDLUQCVMQ
80
52
0
10 Sep 2018
Finding Better Topologies for Deep Convolutional Neural Networks by
  Evolution
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution
Honglei Zhang
S. Kiranyaz
Moncef Gabbouj
41
21
0
10 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
158
125
0
10 Sep 2018
Certified Adversarial Robustness with Additive Noise
Certified Adversarial Robustness with Additive Noise
Bai Li
Changyou Chen
Wenlin Wang
Lawrence Carin
AAML
119
350
0
10 Sep 2018
Query Attack via Opposite-Direction Feature:Towards Robust Image
  Retrieval
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
Zhedong Zheng
Liang Zheng
Yi Yang
Zhilan Hu
AAML
75
24
0
07 Sep 2018
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for
  Efficient Object Detection
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
Wenchi Ma
Yuanwei Wu
Zongbo Wang
Guanghui Wang
ObjD
73
25
0
06 Sep 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised
  Leave-out Classifiers
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas
Nataraj Jammalamadaka
Xia Zhu
Dipankar Das
Bharat Kaul
Theodore L. Willke
OODD
94
247
0
04 Sep 2018
IEA: Inner Ensemble Average within a convolutional neural network
IEA: Inner Ensemble Average within a convolutional neural network
Abduallah A. Mohamed
Xinrui Hua
Xianda Zhou
Christian G. Claudel
23
1
0
30 Aug 2018
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine
  Translation
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation
Xinyi Wang
Hieu H. Pham
Zihang Dai
Graham Neubig
85
198
0
22 Aug 2018
Don't Use Large Mini-Batches, Use Local SGD
Don't Use Large Mini-Batches, Use Local SGD
Tao R. Lin
Sebastian U. Stich
Kumar Kshitij Patel
Martin Jaggi
125
432
0
22 Aug 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
Yanwei Fu
C. Yan
Yi Yang
118
135
0
22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAMLVLM
101
969
0
21 Aug 2018
Deep Convolutional Networks as shallow Gaussian Processes
Deep Convolutional Networks as shallow Gaussian Processes
Adrià Garriga-Alonso
C. Rasmussen
Laurence Aitchison
BDLUQCV
116
271
0
16 Aug 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Zichen Yang
Boyang Deng
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
82
118
0
16 Aug 2018
Metric Learning for Novelty and Anomaly Detection
Metric Learning for Novelty and Anomaly Detection
Marc Masana
Idoia Ruiz
J. Serrat
Joost van de Weijer
Antonio M. López
OODD
87
81
0
16 Aug 2018
Hierarchical binary CNNs for landmark localization with limited
  resources
Hierarchical binary CNNs for landmark localization with limited resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM3DV
61
36
0
14 Aug 2018
Fast, Better Training Trick -- Random Gradient
Fast, Better Training Trick -- Random Gradient
Jiakai Wei
ODL
23
2
0
13 Aug 2018
Neural Network Encapsulation
Neural Network Encapsulation
Hongyang Li
Xiaoyang Guo
Bo Dai
Wanli Ouyang
Xiaogang Wang
62
51
0
11 Aug 2018
Backprop Evolution
Backprop Evolution
Maximilian Alber
Irwan Bello
Barret Zoph
Pieter-Jan Kindermans
Prajit Ramachandran
Quoc V. Le
44
9
0
08 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically
  Differentiable Renderer
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Hsueh-Ti Derek Liu
Michael Tao
Chun-Liang Li
Derek Nowrouzezahrai
Alec Jacobson
AAML
84
13
0
08 Aug 2018
Gray-box Adversarial Training
Gray-box Adversarial Training
S. VivekB.
Konda Reddy Mopuri
R. Venkatesh Babu
AAML
57
35
0
06 Aug 2018
Normalization Before Shaking Toward Learning Symmetrically Distributed
  Representation Without Margin in Speech Emotion Recognition
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition
Che-Wei Huang
Shrikanth S. Narayanan
50
2
0
02 Aug 2018
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially
  reducing training image size makes Convolutional Neural Network training for
  image recognition tasks more efficient
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient
T. Wanger
Peter Frohn
25
3
0
30 Jul 2018
Aggregated Learning: A Deep Learning Framework Based on
  Information-Bottleneck Vector Quantization
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization
Hongyu Guo
Yongyi Mao
Ali Al-Bashabsheh
Richong Zhang
MQ
70
4
0
26 Jul 2018
Unbounded Output Networks for Classification
Unbounded Output Networks for Classification
Stefan Elfwing
E. Uchibe
Kenji Doya
36
0
0
25 Jul 2018
Self-Paced Learning with Adaptive Deep Visual Embeddings
Self-Paced Learning with Adaptive Deep Visual Embeddings
Vithursan Thangarasa
Graham W. Taylor
3DHSSL
50
6
0
24 Jul 2018
Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Yang Hu
Guihua Wen
Mingnan Luo
Dan Dai
Jiajiong Ma
Zhiwen Yu
99
46
0
24 Jul 2018
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Minjie Wang
Chien-chin Huang
Jinyang Li
120
155
0
24 Jul 2018
Predicting breast tumor proliferation from whole-slide images: the
  TUPAC16 challenge
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M. Veta
Y. Heng
N. Stathonikos
B. Bejnordi
F. Beca
...
E. Chang
Yan Xu
Andrew H. Beck
P. Diest
J. Pluim
95
264
0
22 Jul 2018
Efficient Facial Representations for Age, Gender and Identity
  Recognition in Organizing Photo Albums using Multi-output CNN
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN
Andrey V. Savchenko
CVBM
71
75
0
20 Jul 2018
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained
  Recovery
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery
Pau Rodríguez López
J. M. Gonfaus
Guillem Cucurull
F. X. Roca
Jordi Gonzalez
66
38
0
19 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and
  Hyperparameter Search
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela
Aaron Klein
Stefan Falkner
Frank Hutter
80
161
0
18 Jul 2018
Icing on the Cake: An Easy and Quick Post-Learnig Method You Can Try
  After Deep Learning
Icing on the Cake: An Easy and Quick Post-Learnig Method You Can Try After Deep Learning
Tomohiko Konno
M. Iwazume
56
16
0
17 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
237
16,756
0
17 Jul 2018
BAM: Bottleneck Attention Module
BAM: Bottleneck Attention Module
Jongchan Park
Sanghyun Woo
Joon-Young Lee
In So Kweon
85
1,048
0
17 Jul 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Jungwook Choi
P. Chuang
Zhuo Wang
Swagath Venkataramani
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
73
76
0
17 Jul 2018
Meta-Learning with Latent Embedding Optimization
Meta-Learning with Latent Embedding Optimization
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
173
1,375
0
16 Jul 2018
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
Linpeng Tang
Yida Wang
Theodore L. Willke
Kai Li
GNN
101
22
0
16 Jul 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
78
97
0
10 Jul 2018
Reversed Active Learning based Atrous DenseNet for Pathological Image
  Classification
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification
Yuexiang Li
Xinpeng Xie
LinLin Shen
Shaoxiong Liu
MedIm
24
4
0
06 Jul 2018
Parallel Convolutional Networks for Image Recognition via a
  Discriminator
Parallel Convolutional Networks for Image Recognition via a Discriminator
Shiqi Yang
G. Peng
24
3
0
06 Jul 2018
Uncertainty in the Variational Information Bottleneck
Uncertainty in the Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
68
100
0
02 Jul 2018
Towards Adversarial Training with Moderate Performance Improvement for
  Neural Network Classification
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification
Xinhan Di
Pengqian Yu
Meng Tian
AAML
20
3
0
01 Jul 2018
Deep $k$-Means: Re-Training and Parameter Sharing with Harder Cluster
  Assignments for Compressing Deep Convolutions
Deep kkk-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
Junru Wu
Yue Wang
Zhenyu Wu
Zhangyang Wang
Ashok Veeraraghavan
Yingyan Lin
87
115
0
24 Jun 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning
Constructing Deep Neural Networks by Bayesian Network Structure Learning
R. Y. Rohekar
Shami Nisimov
Yaniv Gurwicz
G. Koren
Gal Novik
BDL
130
26
0
24 Jun 2018
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