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Wide Residual Networks

Wide Residual Networks

23 May 2016
Sergey Zagoruyko
N. Komodakis
ArXivPDFHTML

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown
Title
Regularization Matters: Generalization and Optimization of Neural Nets
  v.s. their Induced Kernel
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Colin Wei
Jason D. Lee
Qiang Liu
Tengyu Ma
37
245
0
12 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley
Jack Turner
Amos Storkey
Michael F. P. O'Boyle
3DPC
29
31
0
10 Oct 2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based
  Machine Learning Platforms
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Jingwoong Kim
Minkyu Kim
Heungseok Park
Ernar Kusdavletov
Dongjun Lee
A. Kim
Ji-Hoon Kim
Jung-Woo Ha
Nako Sung
34
14
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
39
81
0
08 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
114
1,180
0
04 Oct 2018
Progressive Feature Fusion Network for Realistic Image Dehazing
Progressive Feature Fusion Network for Realistic Image Dehazing
Kangfu Mei
Aiwen Jiang
Juncheng Li
Mingwen Wang
26
107
0
04 Oct 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
S. Du
Xiyu Zhai
Barnabás Póczós
Aarti Singh
MLT
ODL
65
1,254
0
04 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
27
9
0
02 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILM
AAML
33
49
0
02 Oct 2018
Large batch size training of neural networks with adversarial training
  and second-order information
Large batch size training of neural networks with adversarial training and second-order information
Z. Yao
A. Gholami
Daiyaan Arfeen
Richard Liaw
Joseph E. Gonzalez
Kurt Keutzer
Michael W. Mahoney
ODL
27
42
0
02 Oct 2018
Dynamic Sparse Graph for Efficient Deep Learning
Dynamic Sparse Graph for Efficient Deep Learning
L. Liu
Lei Deng
Xing Hu
Maohua Zhu
Guoqi Li
Yufei Ding
Yuan Xie
GNN
40
42
0
01 Oct 2018
Privado: Practical and Secure DNN Inference with Enclaves
Privado: Practical and Secure DNN Inference with Enclaves
Karan Grover
Shruti Tople
Shweta Shinde
Ranjita Bhagwan
Ramachandran Ramjee
FedML
SILM
23
46
0
01 Oct 2018
RCCNet: An Efficient Convolutional Neural Network for Histological
  Routine Colon Cancer Nuclei Classification
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
S. H. Shabbeer Basha
Soumen Ghosh
Kancharagunta Kishan Babu
S. Dubey
Viswanath Pulabaigari
Snehasis Mukherjee
17
55
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
39
11
0
28 Sep 2018
Learning for Single-Shot Confidence Calibration in Deep Neural Networks
  through Stochastic Inferences
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences
Seonguk Seo
Paul Hongsuck Seo
Bohyung Han
FedML
UQCV
BDL
18
75
0
28 Sep 2018
On the loss landscape of a class of deep neural networks with no bad
  local valleys
On the loss landscape of a class of deep neural networks with no bad local valleys
Quynh N. Nguyen
Mahesh Chandra Mukkamala
Matthias Hein
21
87
0
27 Sep 2018
Compressing the Input for CNNs with the First-Order Scattering Transform
Compressing the Input for CNNs with the First-Order Scattering Transform
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
Michal Valko
14
25
0
27 Sep 2018
An Exploration of Mimic Architectures for Residual Network Based
  Spectral Mapping
An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping
Peter William VanHarn Plantinga
Deblin Bagchi
Eric Fosler-Lussier
83
10
0
25 Sep 2018
Identifying Generalization Properties in Neural Networks
Identifying Generalization Properties in Neural Networks
Huan Wang
N. Keskar
Caiming Xiong
R. Socher
14
49
0
19 Sep 2018
Removing the Feature Correlation Effect of Multiplicative Noise
Removing the Feature Correlation Effect of Multiplicative Noise
Zijun Zhang
Yining Zhang
Zongpeng Li
13
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
21
84
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
31
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
14
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
24
62
0
11 Sep 2018
Probabilistic Binary Neural Networks
Probabilistic Binary Neural Networks
Jorn W. T. Peters
Max Welling
BDL
UQCV
MQ
30
51
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
9
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
31
123
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
28
342
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
28
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
32
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
27
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
21
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
29
195
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
62
429
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
48
134
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
AAML
VLM
36
957
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
BDL
UQCV
35
268
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
22
113
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
33
80
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
CVBM
3DV
23
36
0
14 Aug 2018
Fast, Better Training Trick -- Random Gradient
Fast, Better Training Trick -- Random Gradient
Jiakai Wei
ODL
13
2
0
13 Aug 2018
Neural Network Encapsulation
Neural Network Encapsulation
Hongyang Li
Xiaoyang Guo
Bo Dai
Wanli Ouyang
Xiaogang Wang
21
51
0
11 Aug 2018
Backprop Evolution
Backprop Evolution
Maximilian Alber
Irwan Bello
Barret Zoph
Pieter-Jan Kindermans
Prajit Ramachandran
Quoc V. Le
24
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
42
13
0
08 Aug 2018
Gray-box Adversarial Training
Gray-box Adversarial Training
S. VivekB.
Konda Reddy Mopuri
R. Venkatesh Babu
AAML
16
34
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
19
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
23
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
22
4
0
26 Jul 2018
Unbounded Output Networks for Classification
Unbounded Output Networks for Classification
Stefan Elfwing
E. Uchibe
Kenji Doya
30
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
3DH
SSL
23
6
0
24 Jul 2018
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