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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
Directional Pruning of Deep Neural Networks
Directional Pruning of Deep Neural Networks
Shih-Kang Chao
Zhanyu Wang
Yue Xing
Guang Cheng
ODL
76
33
0
16 Jun 2020
Learning Rates as a Function of Batch Size: A Random Matrix Theory
  Approach to Neural Network Training
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
Diego Granziol
S. Zohren
Stephen J. Roberts
ODL
148
50
0
16 Jun 2020
Real-time Universal Style Transfer on High-resolution Images via
  Zero-channel Pruning
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
Jie An
Tao Li
Haozhi Huang
Li Shen
Xuan Wang
Yongyi Tang
Jinwen Ma
Wei Liu
Jiebo Luo
3DH3DPC
93
18
0
16 Jun 2020
CryptoNAS: Private Inference on a ReLU Budget
CryptoNAS: Private Inference on a ReLU Budget
Zahra Ghodsi
A. Veldanda
Brandon Reagen
S. Garg
92
87
0
15 Jun 2020
Feature Space Saturation during Training
Feature Space Saturation during Training
Mats L. Richter
Justin Shenk
Wolf Byttner
Anders Arpteg
Mikael Huss
FAtt
62
6
0
15 Jun 2020
Multiscale Deep Equilibrium Models
Multiscale Deep Equilibrium Models
Shaojie Bai
V. Koltun
J. Zico Kolter
BDL
96
212
0
15 Jun 2020
On the training dynamics of deep networks with $L_2$ regularization
On the training dynamics of deep networks with L2L_2L2​ regularization
Aitor Lewkowycz
Guy Gur-Ari
113
54
0
15 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Zhun Deng
Linjun Zhang
Amirata Ghorbani
James Zou
99
32
0
15 Jun 2020
Depth Uncertainty in Neural Networks
Depth Uncertainty in Neural Networks
Javier Antorán
J. Allingham
José Miguel Hernández-Lobato
UQCVOODBDL
115
103
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
215
1,648
0
15 Jun 2020
AdamP: Slowing Down the Slowdown for Momentum Optimizers on
  Scale-invariant Weights
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo
Sanghyuk Chun
Seong Joon Oh
Dongyoon Han
Sangdoo Yun
Gyuwan Kim
Youngjung Uh
Jung-Woo Ha
ODL
380
27
0
15 Jun 2020
GradAug: A New Regularization Method for Deep Neural Networks
GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang
Sijie Zhu
Chong Chen
OOD
71
38
0
14 Jun 2020
Meta Approach to Data Augmentation Optimization
Meta Approach to Data Augmentation Optimization
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
84
35
0
14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for
  Convolutional Neural Networks
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
Mojtaba Faramarzi
Mohammad Amini
Akilesh Badrinaaraayanan
Vikas Verma
A. Chandar
AAML
74
32
0
14 Jun 2020
Generalization by Recognizing Confusion
Generalization by Recognizing Confusion
Daniel Chiu
Franklyn Wang
S. Kominers
NoLa
28
0
0
13 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
489
6,871
0
13 Jun 2020
Collegial Ensembles
Collegial Ensembles
Etai Littwin
Ben Myara
Sima Sabah
J. Susskind
Shuangfei Zhai
Oren Golan
85
9
0
13 Jun 2020
Adversarial Self-Supervised Contrastive Learning
Adversarial Self-Supervised Contrastive Learning
Minseon Kim
Jihoon Tack
Sung Ju Hwang
SSL
96
251
0
13 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and
  Architectures
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeongun Ryu
Jaewoong Shin
Haebeom Lee
Sung Ju Hwang
AAMLOOD
50
8
0
13 Jun 2020
Evaluation of Neural Architectures Trained with Square Loss vs
  Cross-Entropy in Classification Tasks
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks
Like Hui
M. Belkin
UQCVAAMLVLM
62
172
0
12 Jun 2020
Dynamic Model Pruning with Feedback
Dynamic Model Pruning with Feedback
Tao R. Lin
Sebastian U. Stich
Luis Barba
Daniil Dmitriev
Martin Jaggi
165
204
0
12 Jun 2020
Knowledge Distillation Meets Self-Supervision
Knowledge Distillation Meets Self-Supervision
Guodong Xu
Ziwei Liu
Xiaoxiao Li
Chen Change Loy
FedML
120
286
0
12 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density
  Ratio Estimation
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Masahiro Kato
Takeshi Teshima
96
36
0
12 Jun 2020
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks
Jonathan Ephrath
Lars Ruthotto
Eran Treister
52
1
0
11 Jun 2020
Learning to Learn Kernels with Variational Random Features
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
72
34
0
11 Jun 2020
On the asymptotics of wide networks with polynomial activations
On the asymptotics of wide networks with polynomial activations
Kyle Aitken
Guy Gur-Ari
60
23
0
11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSLVLM
173
437
0
11 Jun 2020
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for
  Unsupervised Domain Adaptation in Person Re-identification and Beyond
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond
Wenhao Wang
Fang Zhao
Tianran Ouyang
Ling Shao
78
50
0
11 Jun 2020
Hypernetwork-Based Augmentation
Hypernetwork-Based Augmentation
Chih-Yang Chen
Che-Han Chang
61
3
0
11 Jun 2020
Privacy-Aware Activity Classification from First Person Office Videos
Privacy-Aware Activity Classification from First Person Office Videos
Partho Ghosh
Md. Abrar Istiak
Nayeeb Rashid
Ahsan Habib Akash
Ridwan Abrar
Ankan Ghosh Dastider
Asif Sushmit
Taufiq Hasan
PICV
29
2
0
11 Jun 2020
A Probabilistic Model for Discriminative and Neuro-Symbolic
  Semi-Supervised Learning
A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning
Carl Allen
Ivana Balavzević
Timothy M. Hospedales
BDL
101
1
0
10 Jun 2020
Deep Dimension Reduction for Supervised Representation Learning
Deep Dimension Reduction for Supervised Representation Learning
Jian Huang
Yuling Jiao
Xu Liao
Jin Liu
Zhou Yu
DRL
48
16
0
10 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph
  Representation
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
Edouard Oyallon
110
6
0
10 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future
  Challenges
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
E. Galván
P. Mooney
111
136
0
09 Jun 2020
The Dual Information Bottleneck
The Dual Information Bottleneck
Zoe Piran
Ravid Shwartz-Ziv
Naftali Tishby
72
15
0
08 Jun 2020
Passive Batch Injection Training Technique: Boosting Network Performance
  by Injecting Mini-Batches from a different Data Distribution
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
Pravendra Singh
Pratik Mazumder
Vinay P. Namboodiri
42
0
0
08 Jun 2020
Deep Goal-Oriented Clustering
Deep Goal-Oriented Clustering
Yifeng Shi
Christopher M. Bender
Junier B. Oliva
Marc Niethammer
23
0
0
07 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation
Peer Collaborative Learning for Online Knowledge Distillation
Guile Wu
S. Gong
FedML
74
133
0
07 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by
  Maximizing the Minimal Angles
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Zhennan Wang
Canqun Xiang
Wenbin Zou
Chen Xu
100
19
0
06 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
80
168
0
06 Jun 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
160
100
0
05 Jun 2020
Discovering Parametric Activation Functions
Discovering Parametric Activation Functions
G. Bingham
Risto Miikkulainen
ODL
74
73
0
05 Jun 2020
Towards Understanding Fast Adversarial Training
Towards Understanding Fast Adversarial Training
Bai Li
Shiqi Wang
Suman Jana
Lawrence Carin
AAML
78
50
0
04 Jun 2020
Weight Pruning via Adaptive Sparsity Loss
Weight Pruning via Adaptive Sparsity Loss
George Retsinas
Athena Elafrou
G. Goumas
Petros Maragos
64
10
0
04 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19
  Classification using Chest X-ray Images
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
S. Chatterjee
Fatima Saad
Chompunuch Sarasaen
Suhita Ghosh
Valerie Krug
...
Petia Radeva
G. Rose
Sebastian Stober
Oliver Speck
A. Nürnberger
104
26
0
03 Jun 2020
DetectoRS: Detecting Objects with Recursive Feature Pyramid and
  Switchable Atrous Convolution
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao
Liang-Chieh Chen
Alan Yuille
ObjD
130
777
0
03 Jun 2020
Consistent Estimators for Learning to Defer to an Expert
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar
David Sontag
91
205
0
02 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better
  Regularization
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A. Uddin
Sirazam Monira
Wheemyung Shin
TaeChoong Chung
Sung-Ho Bae
107
229
0
02 Jun 2020
Rethinking Empirical Evaluation of Adversarial Robustness Using
  First-Order Attack Methods
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods
Kyungmi Lee
A. Chandrakasan
ELMAAML
69
3
0
01 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
147
684
0
01 Jun 2020
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