Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1605.07146
Cited By
v1
v2
v3
v4 (latest)
Wide Residual Networks
23 May 2016
Sergey Zagoruyko
N. Komodakis
Re-assign community
ArXiv (abs)
PDF
HTML
Github (1306★)
Papers citing
"Wide Residual Networks"
50 / 4,147 papers shown
Title
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
Sungha Choi
J. Kim
Jaegul Choo
SSeg
197
156
0
11 Mar 2020
Using an ensemble color space model to tackle adversarial examples
Shreyank N. Gowda
C. Yuan
AAML
30
1
0
10 Mar 2020
Diversity inducing Information Bottleneck in Model Ensembles
Samarth Sinha
Homanga Bharadhwaj
Anirudh Goyal
Hugo Larochelle
Animesh Garg
Florian Shkurti
BDL
UQCV
67
40
0
10 Mar 2020
Knowledge distillation via adaptive instance normalization
Jing Yang
Brais Martínez
Adrian Bulat
Georgios Tzimiropoulos
63
24
0
09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
73
196
0
09 Mar 2020
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network
Wonchul Son
Youngbin Kim
Wonseok Song
Youngsuk Moon
Wonjun Hwang
23
0
0
09 Mar 2020
Π
−
Π-
Π
−
nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
Stefanos Zafeiriou
85
61
0
08 Mar 2020
DADA: Differentiable Automatic Data Augmentation
Yonggang Li
Guosheng Hu
Yongtao Wang
Timothy M. Hospedales
N. Robertson
Yongxin Yang
92
110
0
08 Mar 2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
Haoyu Zhang
Yaochu Jin
Ran Cheng
K. Hao
67
9
0
07 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Bai Li
Shiqi Wang
Yunhan Jia
Yantao Lu
Zhenyu Zhong
Lawrence Carin
Suman Jana
AAML
142
14
0
06 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
Saehyung Lee
Hyungyu Lee
Sungroh Yoon
AAML
252
119
0
05 Mar 2020
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang
Cyrus Rashtchian
Hongyang R. Zhang
Ruslan Salakhutdinov
Kamalika Chaudhuri
OOD
145
26
0
05 Mar 2020
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
221
241
0
04 Mar 2020
Deep Learning in Memristive Nanowire Networks
Jack D. Kendall
Ross D. Pantone
J. Nino
21
2
0
03 Mar 2020
BATS: Binary ArchitecTure Search
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
97
68
0
03 Mar 2020
Curriculum By Smoothing
Samarth Sinha
Animesh Garg
Hugo Larochelle
105
7
0
03 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
129
67
0
02 Mar 2020
Flashlight CNN Image Denoising
Pham Huu Thanh Binh
Cristóvão Cruz
K. Egiazarian
25
6
0
02 Mar 2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Jonathan Frankle
D. Schwab
Ari S. Morcos
115
143
0
29 Feb 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Kaidi Xu
Zhouxing Shi
Huan Zhang
Yihan Wang
Kai-Wei Chang
Minlie Huang
B. Kailkhura
Xinyu Lin
Cho-Jui Hsieh
AAML
64
12
0
28 Feb 2020
An Efficient Method of Training Small Models for Regression Problems with Knowledge Distillation
M. Takamoto
Yusuke Morishita
Hitoshi Imaoka
57
33
0
28 Feb 2020
Utilizing Network Properties to Detect Erroneous Inputs
Matt Gorbett
Nathaniel Blanchard
AAML
67
6
0
28 Feb 2020
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
116
118
0
27 Feb 2020
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
162
811
0
26 Feb 2020
Randomization matters. How to defend against strong adversarial attacks
Rafael Pinot
Raphael Ettedgui
Geovani Rizk
Y. Chevaleyre
Jamal Atif
AAML
130
60
0
26 Feb 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
154
579
0
26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
62
406
0
26 Feb 2020
On Feature Normalization and Data Augmentation
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
56
137
0
25 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
138
324
0
25 Feb 2020
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs
Lei Huang
Jie Qin
Li Liu
Fan Zhu
Ling Shao
AI4CE
86
11
0
25 Feb 2020
Learning Queuing Networks by Recurrent Neural Networks
G. Garbi
Emilio Incerto
M. Tribastone
10
16
0
25 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
AAML
104
229
0
25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
Haotao Wang
Tianlong Chen
Zhangyang Wang
Kede Ma
VLM
68
20
0
25 Feb 2020
HYDRA: Pruning Adversarially Robust Neural Networks
Vikash Sehwag
Shiqi Wang
Prateek Mittal
Suman Jana
AAML
69
25
0
24 Feb 2020
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks
Soham De
Samuel L. Smith
ODL
106
20
0
24 Feb 2020
The Early Phase of Neural Network Training
Jonathan Frankle
D. Schwab
Ari S. Morcos
98
174
0
24 Feb 2020
Self-Adaptive Training: beyond Empirical Risk Minimization
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
NoLa
97
205
0
24 Feb 2020
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling
Setareh Ariafar
Zelda E. Mariet
Ehsan Elhamifar
Dana Brooks
Jennifer Dy
Jasper Snoek
58
3
0
23 Feb 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
J. Breier
Dirmanto Jap
Xiaolu Hou
S. Bhasin
Yang Liu
75
53
0
23 Feb 2020
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization
Darvin Yi
E. Grøvik
Michael Iv
E. Tong
Greg Zaharchuk
D. Rubin
48
2
0
23 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Jianfei Chen
Cheng Lu
Biqi Chenli
Jun Zhu
Tian Tian
DRL
90
63
0
22 Feb 2020
Towards Robust and Reproducible Active Learning Using Neural Networks
Prateek Munjal
Nasir Hayat
Munawar Hayat
J. Sourati
Shadab Khan
UQCV
84
69
0
21 Feb 2020
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti
Viveka Kulharia
Amartya Sanyal
Stuart Golodetz
Philip Torr
P. Dokania
UQCV
98
468
0
21 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
Dmitry Molchanov
Alexander Lyzhov
Yuliya Molchanova
Arsenii Ashukha
Dmitry Vetrov
TPM
112
85
0
21 Feb 2020
Parallel and distributed asynchronous adaptive stochastic gradient methods
Yangyang Xu
Yibo Xu
Yonggui Yan
Colin Sutcher-Shepard
Leopold Grinberg
Jiewei Chen
42
2
0
21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
Chengyue Gong
Zhaolin Ren
Mao Ye
Qiang Liu
AAML
77
56
0
20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSL
VLM
98
165
0
20 Feb 2020
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang
Xiao Yang
Yinpeng Dong
Kun Xu
Jun Zhu
Hang Su
AAML
89
156
0
20 Feb 2020
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows
G. Yoo
H. Owhadi
74
21
0
19 Feb 2020
Dissecting Neural ODEs
Stefano Massaroli
Michael Poli
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
130
204
0
19 Feb 2020
Previous
1
2
3
...
62
63
64
...
81
82
83
Next