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
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
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU
  Activation in Deep Learning
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning
Zhi Chen
P. Ho
53
3
0
19 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
T. Tanay
Jerone T. A. Andrews
Lewis D. Griffin
73
7
0
19 Jun 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
100
154
0
18 Jun 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training
  Deep Neural Networks
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
Jinghui Chen
Dongruo Zhou
Yiqi Tang
Ziyan Yang
Yuan Cao
Quanquan Gu
ODL
106
193
0
18 Jun 2018
Three dimensional Deep Learning approach for remote sensing image
  classification
Three dimensional Deep Learning approach for remote sensing image classification
A. Ben Hamida
A. Benoît
P. Lambert
C. Ben Amar
105
587
0
15 Jun 2018
Manifold Mixup: Better Representations by Interpolating Hidden States
Manifold Mixup: Better Representations by Interpolating Hidden States
Vikas Verma
Alex Lamb
Christopher Beckham
Amir Najafi
Ioannis Mitliagkas
Aaron Courville
David Lopez-Paz
Yoshua Bengio
AAMLDRL
111
35
0
13 Jun 2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
302
483
0
12 Jun 2018
Full deep neural network training on a pruned weight budget
Full deep neural network training on a pruned weight budget
Maximilian Golub
G. Lemieux
Mieszko Lis
87
28
0
11 Jun 2018
Data augmentation instead of explicit regularization
Data augmentation instead of explicit regularization
Alex Hernández-García
Peter König
111
144
0
11 Jun 2018
The Effect of Network Width on the Performance of Large-batch Training
The Effect of Network Width on the Performance of Large-batch Training
Lingjiao Chen
Hongyi Wang
Jinman Zhao
Dimitris Papailiopoulos
Paraschos Koutris
87
22
0
11 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized
  Models
Training Faster by Separating Modes of Variation in Batch-normalized Models
Mahdi M. Kalayeh
M. Shah
70
43
0
07 Jun 2018
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex
Hongyang R. Zhang
Junru Shao
Ruslan Salakhutdinov
109
14
0
06 Jun 2018
A Framework for the construction of upper bounds on the number of affine
  linear regions of ReLU feed-forward neural networks
A Framework for the construction of upper bounds on the number of affine linear regions of ReLU feed-forward neural networks
Peter Hinz
Sara van de Geer
67
23
0
05 Jun 2018
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on
  Classification
Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification
B. Hsueh
Wei Li
I-Chen Wu
32
23
0
05 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance
  Benchmark
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman
Daniel Kang
Deepak Narayanan
Luigi Nardi
Tian Zhao
Jian Zhang
Peter Bailis
K. Olukotun
Christopher Ré
Matei A. Zaharia
60
117
0
04 Jun 2018
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic
  Segmentation
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
Jindong Jiang
Lunan Zheng
Fei Luo
Zhijun Zhang
3DPCSSeg
113
217
0
04 Jun 2018
Targeted Kernel Networks: Faster Convolutions with Attentive
  Regularization
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
Kashyap Chitta
28
2
0
01 Jun 2018
Backpropagation for Implicit Spectral Densities
Backpropagation for Implicit Spectral Densities
Aditya A. Ramesh
Yann LeCun
55
10
0
01 Jun 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Do CIFAR-10 Classifiers Generalize to CIFAR-10?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODFedMLELM
213
415
0
01 Jun 2018
Tandem Blocks in Deep Convolutional Neural Networks
Tandem Blocks in Deep Convolutional Neural Networks
Chris Hettinger
Tanner Christensen
J. Humpherys
Tyler J. Jarvis
15
0
0
01 Jun 2018
Scaling provable adversarial defenses
Scaling provable adversarial defenses
Eric Wong
Frank R. Schmidt
J. H. Metzen
J. Zico Kolter
AAML
105
450
0
31 May 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
103
52
0
28 May 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
113
607
0
28 May 2018
Understanding Generalization and Optimization Performance of Deep CNNs
Understanding Generalization and Optimization Performance of Deep CNNs
Pan Zhou
Jiashi Feng
MLT
124
50
0
28 May 2018
A Simple Riemannian Manifold Network for Image Set Classification
Rui Wang
Xiaojun Wu
J. Kittler
32
3
0
27 May 2018
Multi-Task Zipping via Layer-wise Neuron Sharing
Multi-Task Zipping via Layer-wise Neuron Sharing
Xiaoxi He
Zimu Zhou
Lothar Thiele
MoMe
64
63
0
24 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural
  Network Robustness
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness
Carlos Lassance
Vincent Gripon
Antonio Ortega
AAML
88
16
0
24 May 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
137
1,779
0
24 May 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Andrea Zunino
Sarah Adel Bargal
Pietro Morerio
Jianming Zhang
Stan Sclaroff
Vittorio Murino
38
25
0
23 May 2018
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of
  the Activation Function in Deep Neural Nets
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets
Narendra Patwardhan
M. Ingalhalikar
Rahee Walambe
32
7
0
22 May 2018
Faster Neural Network Training with Approximate Tensor Operations
Faster Neural Network Training with Approximate Tensor Operations
Menachem Adelman
Kfir Y. Levy
Ido Hakimi
M. Silberstein
81
27
0
21 May 2018
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
82
77
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
70
211
0
21 May 2018
Wavelet Convolutional Neural Networks
Wavelet Convolutional Neural Networks
S. Fujieda
Kohei Takayama
T. Hachisuka
68
129
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
72
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
45
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
75
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
32
1
0
18 May 2018
Recurrent knowledge distillation
Recurrent knowledge distillation
S. Pintea
Yue Liu
Jan van Gemert
ODL
21
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
71
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
47
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
56
44
0
14 May 2018
Born Again Neural Networks
Born Again Neural Networks
Tommaso Furlanello
Zachary Chase Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
88
1,037
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
111
143
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
OODAAML
205
797
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
68
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
91
56
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
240
503
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
64
41
0
23 Apr 2018
Decorrelated Batch Normalization
Decorrelated Batch Normalization
Lei Huang
Dawei Yang
B. Lang
Jia Deng
75
193
0
23 Apr 2018
Previous
123...767778...818283
Next