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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
Quantized Neural Networks: Characterization and Holistic Optimization
Quantized Neural Networks: Characterization and Holistic Optimization
Yoonho Boo
Sungho Shin
Wonyong Sung
MQ
78
8
0
31 May 2020
Pseudo-Representation Labeling Semi-Supervised Learning
Pseudo-Representation Labeling Semi-Supervised Learning
Song-Bo Yang
Tian-li Yu
93
3
0
31 May 2020
Exploring Model Robustness with Adaptive Networks and Improved
  Adversarial Training
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training
Zheng Xu
Ali Shafahi
Tom Goldstein
AAML
51
2
0
30 May 2020
Rethinking Assumptions in Deep Anomaly Detection
Rethinking Assumptions in Deep Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
115
91
0
30 May 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li
Xiaojun Xu
Xiaolu Zhang
Shuang Yang
Yue Liu
AAML
135
183
0
28 May 2020
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of
  Energy-Based Models
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Mitch Hill
Jonathan Mitchell
Song-Chun Zhu
AAML
92
72
0
27 May 2020
From ImageNet to Image Classification: Contextualizing Progress on
  Benchmarks
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Andrew Ilyas
Aleksander Madry
83
135
0
22 May 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences
  for Urban Scene Segmentation
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen
Raphael Gontijo-Lopes
Bowen Cheng
Maxwell D. Collins
E. D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
142
75
0
20 May 2020
Feature Purification: How Adversarial Training Performs Robust Deep
  Learning
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLTAAML
122
151
0
20 May 2020
Encryption Inspired Adversarial Defense for Visual Classification
Encryption Inspired Adversarial Defense for Visual Classification
Maungmaung Aprilpyone
Hitoshi Kiya
56
32
0
16 May 2020
Multi-level Feature Fusion-based CNN for Local Climate Zone
  Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42
  Dataset
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset
C. Qiu
Xiaochong Tong
M. Schmitt
B. Bechtel
Xiaoxiang Zhu
82
54
0
16 May 2020
Transformation Based Deep Anomaly Detection in Astronomical Images
Transformation Based Deep Anomaly Detection in Astronomical Images
E. Reyes
P. Estévez
77
12
0
15 May 2020
Optimizing Neural Architecture Search using Limited GPU Time in a
  Dynamic Search Space: A Gene Expression Programming Approach
Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach
J. H. Alves
L. F. Oliveira
38
5
0
15 May 2020
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several
  Thinner Ones?
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones?
Nadezhda Chirkova
E. Lobacheva
Dmitry Vetrov
OODMoE
51
9
0
14 May 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Michael W. Dusenberry
Ghassen Jerfel
Yeming Wen
Yi-An Ma
Jasper Snoek
Katherine A. Heller
Balaji Lakshminarayanan
Dustin Tran
UQCVBDL
105
215
0
14 May 2020
PENNI: Pruned Kernel Sharing for Efficient CNN Inference
PENNI: Pruned Kernel Sharing for Efficient CNN Inference
Shiyu Li
Edward Hanson
H. Li
Yiran Chen
48
19
0
14 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With
  Trainable Masked Layers
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
Junjie Liu
Zhe Xu
Runbin Shi
R. Cheung
Hayden Kwok-Hay So
62
121
0
14 May 2020
Detection and Retrieval of Out-of-Distribution Objects in Semantic
  Segmentation
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Philipp Oberdiek
Matthias Rottmann
G. Fink
73
30
0
14 May 2020
Finet: Using Fine-grained Batch Normalization to Train Light-weight
  Neural Networks
Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks
Chunjie Luo
Jianfeng Zhan
Lei Wang
Wanling Gao
137
1
0
14 May 2020
Robust Visual Object Tracking with Two-Stream Residual Convolutional
  Networks
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks
Ning Zhang
Jingen Liu
Ke Wang
Dan Zeng
Tao Mei
51
7
0
13 May 2020
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
Yingxue Xu
Guihua Wen
Yang Hu
Mingnan Luo
Dan Dai
Y. Zhuang
Wendy Hall
37
36
0
13 May 2020
deepSELF: An Open Source Deep Self End-to-End Learning Framework
deepSELF: An Open Source Deep Self End-to-End Learning Framework
Tomoya Koike
Kun Qian
Björn W. Schuller
Yoshiharu Yamamoto
SLRHAI
29
3
0
11 May 2020
Measuring the Algorithmic Efficiency of Neural Networks
Measuring the Algorithmic Efficiency of Neural Networks
Danny Hernandez
Tom B. Brown
291
97
0
08 May 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation
Data-Free Network Quantization With Adversarial Knowledge Distillation
Yoojin Choi
Jihwan P. Choi
Mostafa El-Khamy
Jungwon Lee
MQ
76
121
0
08 May 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient
  Estimation
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
Sanjay Kariyappa
A. Prakash
Moinuddin K. Qureshi
AAML
75
153
0
06 May 2020
On the Benefits of Models with Perceptually-Aligned Gradients
On the Benefits of Models with Perceptually-Aligned Gradients
Gunjan Aggarwal
Abhishek Sinha
Nupur Kumari
M. Singh
AAML
70
16
0
04 May 2020
A survey on modern trainable activation functions
A survey on modern trainable activation functions
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
112
378
0
02 May 2020
On the Generalization Effects of Linear Transformations in Data
  Augmentation
On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu
Hongyang R. Zhang
Gregory Valiant
Christopher Ré
88
78
0
02 May 2020
When Ensembling Smaller Models is More Efficient than Single Large
  Models
When Ensembling Smaller Models is More Efficient than Single Large Models
Dan Kondratyuk
Mingxing Tan
Matthew A. Brown
Boqing Gong
50
35
0
01 May 2020
Intra-model Variability in COVID-19 Classification Using Chest X-ray
  Images
Intra-model Variability in COVID-19 Classification Using Chest X-ray Images
Brian D. Goodwin
Corey Jaskolski
Can Zhong
Herick Asmani
OOD
83
28
0
30 Apr 2020
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural
  Networks
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks
Lian Zhuo
Baochang Zhang
Hanlin Chen
Linlin Yang
Chong Chen
Y. Zhu
David Doermann
MQ
23
1
0
30 Apr 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
TRP: 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
78
71
0
30 Apr 2020
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Sanyou Wu
Xingdong Feng
Fan Zhou
31
4
0
29 Apr 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
94
125
0
27 Apr 2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via
  Alternating Minimization
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
Xingjian Li
Haoyi Xiong
Haozhe An
Dejing Dou
Chengzhong Xu
FedML
26
3
0
26 Apr 2020
Towards Feature Space Adversarial Attack
Towards Feature Space Adversarial Attack
Qiuling Xu
Guanhong Tao
Shuyang Cheng
Xinming Zhang
GANAAML
66
25
0
26 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Ruchit Rawal
Prabhu Pradhan
42
1
0
26 Apr 2020
Improved Adversarial Training via Learned Optimizer
Improved Adversarial Training via Learned Optimizer
Yuanhao Xiong
Cho-Jui Hsieh
AAML
77
31
0
25 Apr 2020
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of
  Channel Pruning
Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning
Zhongzhan Huang
Wenqi Shao
Xinjiang Wang
Liang Lin
Ping Luo
75
56
0
24 Apr 2020
SIPA: A Simple Framework for Efficient Networks
SIPA: A Simple Framework for Efficient Networks
Gihun Lee
Sangmin Bae
Jaehoon Oh
Seyoung Yun
19
1
0
24 Apr 2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal
  Matrices
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Chunhua Deng
Siyu Liao
Yi Xie
Keshab K. Parhi
Xuehai Qian
Bo Yuan
83
93
0
23 Apr 2020
Live Trojan Attacks on Deep Neural Networks
Live Trojan Attacks on Deep Neural Networks
Robby Costales
Chengzhi Mao
R. Norwitz
Bryan Kim
Junfeng Yang
AAML
120
22
0
22 Apr 2020
A Generic Network Compression Framework for Sequential Recommender
  Systems
A Generic Network Compression Framework for Sequential Recommender Systems
Yang Sun
Fajie Yuan
Ming Yang
Guoao Wei
Zhou Zhao
Duo Liu
81
55
0
21 Apr 2020
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures
Alex Karbachevsky
Chaim Baskin
Evgenii Zheltonozhskii
Yevgeny Yermolin
F. Gabbay
A. Bronstein
A. Mendelson
87
11
0
19 Apr 2020
Role-Wise Data Augmentation for Knowledge Distillation
Role-Wise Data Augmentation for Knowledge Distillation
Jie Fu
Xue Geng
Zhijian Duan
Bohan Zhuang
Xingdi Yuan
Adam Trischler
Jie Lin
C. Pal
Hao Dong
72
15
0
19 Apr 2020
Single-step Adversarial training with Dropout Scheduling
Single-step Adversarial training with Dropout Scheduling
S. VivekB.
R. Venkatesh Babu
OODAAML
65
73
0
18 Apr 2020
DMT: Dynamic Mutual Training for Semi-Supervised Learning
DMT: Dynamic Mutual Training for Semi-Supervised Learning
Zhengyang Feng
Qianyu Zhou
Qiqi Gu
Xin Tan
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
46
176
0
18 Apr 2020
Finding the Optimal Network Depth in Classification Tasks
Finding the Optimal Network Depth in Classification Tasks
Bartosz Wójcik
Maciej Wołczyk
Klaudia Bałazy
Jacek Tabor
24
0
0
17 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLMOffRL
117
35
0
17 Apr 2020
Spatially Attentive Output Layer for Image Classification
Spatially Attentive Output Layer for Image Classification
Ildoo Kim
Woonhyuk Baek
Sungwoong Kim
35
25
0
16 Apr 2020
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