ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1605.07146
  4. Cited By
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
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Zhonghui You
Jinmian Ye
Kunming Li
Zenglin Xu
Ping Wang
25
76
0
21 May 2018
Batch-Instance Normalization for Adaptively Style-Invariant Neural
  Networks
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Hyeonseob Nam
Hyo-Eun Kim
OOD
24
209
0
21 May 2018
Wavelet Convolutional Neural Networks
Wavelet Convolutional Neural Networks
S. Fujieda
Kohei Takayama
T. Hachisuka
27
125
0
20 May 2018
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule
  Subspaces
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
Liheng Zhang
Marzieh Edraki
Guo-Jun Qi
22
62
0
19 May 2018
Nostalgic Adam: Weighting more of the past gradients when designing the
  adaptive learning rate
Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate
Haiwen Huang
Changzhang Wang
Bin Dong
ODL
11
59
0
19 May 2018
Deep Predictive Coding Network with Local Recurrent Processing for
  Object Recognition
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
Kuan Han
Haiguang Wen
Yizhen Zhang
Di Fu
Eugenio Culurciello
Zhongming Liu
30
70
0
19 May 2018
Learning to Collaborate for User-Controlled Privacy
Learning to Collaborate for User-Controlled Privacy
Martín Bertrán
Natalia Martínez
Afroditi Papadaki
Qiang Qiu
M. Rodrigues
Guillermo Sapiro
30
1
0
18 May 2018
Recurrent knowledge distillation
Recurrent knowledge distillation
S. Pintea
Yue Liu
Jan van Gemert
ODL
19
2
0
18 May 2018
DNN or k-NN: That is the Generalize vs. Memorize Question
DNN or k-NN: That is the Generalize vs. Memorize Question
Gilad Cohen
Guillermo Sapiro
Raja Giryes
21
38
0
17 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided
  Mixture Density Networks
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
Sungjoon Choi
Sanghoon Hong
Kyungjae Lee
Sungbin Lim
OOD
27
8
0
16 May 2018
Confidence Scoring Using Whitebox Meta-models with Linear Classifier
  Probes
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes
Tongfei Chen
Jirí Navrátil
Vijay Iyengar
Karthikeyan Shanmugam
10
43
0
14 May 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
38
1,026
0
12 May 2018
MMDenseLSTM: An efficient combination of convolutional and recurrent
  neural networks for audio source separation
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
Naoya Takahashi
Nabarun Goswami
Yuki Mitsufuji
41
141
0
07 May 2018
Adversarially Robust Generalization Requires More Data
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
Aleksander Madry
OOD
AAML
40
786
0
30 Apr 2018
SHADE: Information Based Regularization for Deep Learning
SHADE: Information Based Regularization for Deep Learning
Michael Blot
Thomas Robert
Nicolas Thome
Matthieu Cord
32
12
0
29 Apr 2018
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Sohil Shah
P. Ghosh
L. Davis
Tom Goldstein
SSeg
26
55
0
27 Apr 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
499
0
24 Apr 2018
A New Channel Boosted Convolutional Neural Network using Transfer
  Learning
A New Channel Boosted Convolutional Neural Network using Transfer Learning
Asifullah Khan
A. Sohail
Amna Ali
14
41
0
23 Apr 2018
Decorrelated Batch Normalization
Decorrelated Batch Normalization
Lei Huang
Dawei Yang
B. Lang
Jia Deng
16
191
0
23 Apr 2018
Memory Attention Networks for Skeleton-based Action Recognition
Memory Attention Networks for Skeleton-based Action Recognition
Chunyu Xie
Ce Li
Baochang Zhang
Chong Chen
Jungong Han
C. Zou
Jianzhuang Liu
27
166
0
23 Apr 2018
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Stefan Kahl
Thomas Wilhelm-Stein
Holger Klinck
Danny Kowerko
Maximilian Eibl
33
28
0
19 Apr 2018
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in
  Affective Computing
Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in Affective Computing
Che-Wei Huang
Shrikanth Narayanan
26
4
0
18 Apr 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
25
105
0
17 Apr 2018
MaxGain: Regularisation of Neural Networks by Constraining Activation
  Magnitudes
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes
Henry Gouk
Bernhard Pfahringer
E. Frank
M. Cree
18
7
0
16 Apr 2018
SparseNet: A Sparse DenseNet for Image Classification
SparseNet: A Sparse DenseNet for Image Classification
Wenqian Liu
Kun Zeng
3DH
29
31
0
15 Apr 2018
Heterogeneous Multilayer Generalized Operational Perceptron
Heterogeneous Multilayer Generalized Operational Perceptron
D. Tran
S. Kiranyaz
Moncef Gabbouj
Alexandros Iosifidis
24
66
0
13 Apr 2018
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese
  Bi-GRU for Multiple Object Tracking
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking
Cong Ma
Changshui Yang
Fan Yang
Yueqing Zhuang
Ziwei Zhang
Huizhu Jia
Xiaodong Xie
VOT
19
86
0
12 Apr 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk
E. Frank
Bernhard Pfahringer
M. Cree
21
468
0
12 Apr 2018
Model identification for ARMA time series through convolutional neural
  networks
Model identification for ARMA time series through convolutional neural networks
Wai Hoh Tang
A. Röllin
21
17
0
12 Apr 2018
Deep Neural Networks Motivated by Partial Differential Equations
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
27
485
0
12 Apr 2018
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks
Huili Chen
B. Rouhani
F. Koushanfar
FedML
27
61
0
10 Apr 2018
Adversarial Training Versus Weight Decay
Adversarial Training Versus Weight Decay
A. Galloway
T. Tanay
Graham W. Taylor
AAML
29
23
0
10 Apr 2018
HyperDense-Net: A hyper-densely connected CNN for multi-modal image
  segmentation
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz
Karthik Gopinath
Jing Yuan
H. Lombaert
Christian Desrosiers
Ismail ben Ayed
3DH
22
431
0
09 Apr 2018
Training DNNs with Hybrid Block Floating Point
Training DNNs with Hybrid Block Floating Point
M. Drumond
Tao R. Lin
Martin Jaggi
Babak Falsafi
25
95
0
04 Apr 2018
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Yan Wang
Lingxi Xie
Siyuan Qiao
Ya Zhang
Wenjun Zhang
Alan Yuille
24
13
0
03 Apr 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep
  Learning Models
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models
B. Rouhani
Huili Chen
F. Koushanfar
46
48
0
02 Apr 2018
The Structure Transfer Machine Theory and Applications
The Structure Transfer Machine Theory and Applications
Baochang Zhang
Lian Zhuo
Ze Wang
Jiawei Han
Xiantong Zhen
OOD
28
6
0
01 Apr 2018
Parallel Grid Pooling for Data Augmentation
Parallel Grid Pooling for Data Augmentation
Akito Takeki
Daiki Ikami
Go Irie
Kiyoharu Aizawa
16
7
0
30 Mar 2018
Adversarial Network Compression
Adversarial Network Compression
Vasileios Belagiannis
Azade Farshad
Fabio Galasso
GAN
AAML
14
58
0
28 Mar 2018
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
22
1,031
0
28 Mar 2018
Efficient parametrization of multi-domain deep neural networks
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
36
361
0
27 Mar 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
69
1,412
0
24 Mar 2018
Context Encoding for Semantic Segmentation
Context Encoding for Semantic Segmentation
Hang Zhang
Kristin J. Dana
Jianping Shi
Zhongyue Zhang
Xiaogang Wang
A. Tyagi
Amit Agrawal
SSeg
50
1,236
0
23 Mar 2018
Classification of simulated radio signals using Wide Residual Networks
  for use in the search for extra-terrestrial intelligence
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence
G. Cox
S. Egly
G. Harp
J. Richards
S. Vinodababu
J. Voien
14
5
0
23 Mar 2018
Patch-Based Image Inpainting with Generative Adversarial Networks
Patch-Based Image Inpainting with Generative Adversarial Networks
Ugur Demir
Gözde B. Ünal
GAN
17
253
0
20 Mar 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
22
281
0
15 Mar 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedML
MoMe
60
1,625
0
14 Mar 2018
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
Kai Xu
Dae Hoon Park
Chang Yi
Charles Sutton
HAI
FAtt
22
26
0
11 Mar 2018
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
N. Gessert
M. Schlüter
Alexander Schlaefer
27
30
0
10 Mar 2018
Rethinking Feature Distribution for Loss Functions in Image
  Classification
Rethinking Feature Distribution for Loss Functions in Image Classification
Weitao Wan
Yuanyi Zhong
Tianpeng Li
Jiansheng Chen
21
166
0
08 Mar 2018
Previous
123...767778...818283
Next