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
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
142
153
0
03 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Chen Ma
Lixing Chen
Junhai Yong
MLAUOOD
93
17
0
02 Sep 2020
SPAN: Spatial Pyramid Attention Network forImage Manipulation
  Localization
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
Xuefeng Hu
Zhihan Zhang
Zhenye Jiang
Syomantak Chaudhuri
Zhenheng Yang
Ram Nevatia
3DPC
68
199
0
01 Sep 2020
Unsupervised and Supervised Structure Learning for Protein Contact
  Prediction
Unsupervised and Supervised Structure Learning for Protein Contact Prediction
S. Sun
48
0
0
31 Aug 2020
Langevin Cooling for Domain Translation
Langevin Cooling for Domain Translation
Vignesh Srinivasan
Klaus-Robert Muller
Wojciech Samek
Shinichi Nakajima
74
1
0
31 Aug 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down
  Distillation
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation
Benlin Liu
Yongming Rao
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
77
37
0
27 Aug 2020
Training robust anomaly detection using ML-Enhanced simulations
Training robust anomaly detection using ML-Enhanced simulations
Philip G. Feldman
30
0
0
27 Aug 2020
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
306
111
0
26 Aug 2020
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity
  with KARMA
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA
Mohamed Wahib
Haoyu Zhang
Truong Thao Nguyen
Aleksandr Drozd
Jens Domke
Lingqi Zhang
Ryousei Takano
Satoshi Matsuoka
OODD
78
23
0
26 Aug 2020
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer
  Learning
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning
Yinghua Zhang
Yangqiu Song
Jian Liang
Kun Bai
Qiang Yang
AAML
79
28
0
25 Aug 2020
Classification of Noncoding RNA Elements Using Deep Convolutional Neural
  Networks
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks
Brian McClannahan
Krushi Patel
Usman Sajid
Cuncong Zhong
Guanghui Wang
29
1
0
24 Aug 2020
Matching Guided Distillation
Matching Guided Distillation
Kaiyu Yue
Jiangfan Deng
Feng Zhou
53
50
0
23 Aug 2020
Privacy Preserving Recalibration under Domain Shift
Privacy Preserving Recalibration under Domain Shift
Rachel Luo
Shengjia Zhao
Jiaming Song
Jonathan Kuck
Stefano Ermon
Silvio Savarese
54
3
0
21 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh
Hyungjun Yoo
ChangHwan Kim
Seyoung Yun
49
9
0
20 Aug 2020
Yet Another Intermediate-Level Attack
Yet Another Intermediate-Level Attack
Qizhang Li
Yiwen Guo
Hao Chen
AAML
59
52
0
20 Aug 2020
A Computational-Graph Partitioning Method for Training
  Memory-Constrained DNNs
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs
Fareed Qararyah
Mohamed Wahib
Douga Dikbayir
M. E. Belviranli
Didem Unat
71
10
0
19 Aug 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using
  X-ray Chest Images
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images
Saul Calderon-Ramirez
Shengxiang-Yang
Armaghan Moemeni
David Elizondo
Simon Colreavy-Donnelly
Luis Fernando Chavarria-Estrada
Miguel A. Molina-Cabello
86
46
0
19 Aug 2020
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from
  Wearable Cameras
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras
Asif Sushmit
Partho Ghosh
Md. Abrar Istiak
Nayeeb Rashid
Ahsan Habib Akash
Taufiq Hasan
23
3
0
19 Aug 2020
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation
Anbang Yao
Dawei Sun
62
55
0
18 Aug 2020
Whitening and second order optimization both make information in the
  dataset unusable during training, and can reduce or prevent generalization
Whitening and second order optimization both make information in the dataset unusable during training, and can reduce or prevent generalization
Neha S. Wadia
Daniel Duckworth
S. Schoenholz
Ethan Dyer
Jascha Narain Sohl-Dickstein
104
13
0
17 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy
  Trade-off of Deep Neural Networks
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks
Elahe Arani
F. Sarfraz
Bahram Zonooz
AAML
60
9
0
16 Aug 2020
Domain-specific Communication Optimization for Distributed DNN Training
Domain-specific Communication Optimization for Distributed DNN Training
Hao Wang
Jingrong Chen
Xinchen Wan
Han Tian
Jiacheng Xia
Gaoxiong Zeng
Weiyan Wang
Kai Chen
Wei Bai
Junchen Jiang
AI4CE
26
16
0
16 Aug 2020
FOOD: Fast Out-Of-Distribution Detector
FOOD: Fast Out-Of-Distribution Detector
Guy Amit
Moshe Levy
Ishai Rosenberg
A. Shabtai
Yuval Elovici
OODD
52
4
0
16 Aug 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
Chengcheng Wan
H. Hoffmann
Shan Lu
Michael Maire
OOD
71
11
0
15 Aug 2020
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked
  Global-Local Attention Network
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Weiqing Min
Linhu Liu
Zhiling Wang
Zhengdong Luo
Xiaoming Wei
Xiaolin K. Wei
Shuqiang Jiang
81
123
0
13 Aug 2020
Learned Proximal Networks for Quantitative Susceptibility Mapping
Learned Proximal Networks for Quantitative Susceptibility Mapping
Kuo-Wei Lai
M. Aggarwal
P. Zijl
Xu Li
Jeremias Sulam
63
32
0
11 Aug 2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for
  Cell Detection and Classification
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
R. M. S. Bashir
Talha Qaiser
S. Raza
Nasir M. Rajpoot
27
8
0
11 Aug 2020
Transferring Inter-Class Correlation
Transferring Inter-Class Correlation
Hui Wen
Yue-bo Wu
Chenming Yang
Jingjing Li
Yue Zhu
Xu Jiang
H. Duan
16
0
0
11 Aug 2020
Deep learning for photoacoustic imaging: a survey
Deep learning for photoacoustic imaging: a survey
Changchun Yang
Hengrong Lan
Feng Gao
Fei Gao
VLMMedIm
59
21
0
10 Aug 2020
Improve Generalization and Robustness of Neural Networks via Weight
  Scale Shifting Invariant Regularizations
Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations
Ziquan Liu
Yufei Cui
Antoni B. Chan
122
13
0
07 Aug 2020
Few-shot Classification via Adaptive Attention
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
56
19
0
06 Aug 2020
Continuous-in-Depth Neural Networks
Continuous-in-Depth Neural Networks
A. Queiruga
N. Benjamin Erichson
D. Taylor
Michael W. Mahoney
109
48
0
05 Aug 2020
TREND: Transferability based Robust ENsemble Design
TREND: Transferability based Robust ENsemble Design
Deepak Ravikumar
Sangamesh Kodge
Isha Garg
Kaushik Roy
OODAAML
40
4
0
04 Aug 2020
Differentiable Feature Aggregation Search for Knowledge Distillation
Differentiable Feature Aggregation Search for Knowledge Distillation
Yushuo Guan
Pengyu Zhao
Bingxuan Wang
Yuanxing Zhang
Cong Yao
Kaigui Bian
Jian Tang
FedML
76
44
0
02 Aug 2020
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness
  and Fingerprints Structural Malware
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware
N. Benjamin Erichson
D. Taylor
Qixuan Wu
Michael W. Mahoney
AAML
75
13
0
31 Jul 2020
HMCNAS: Neural Architecture Search using Hidden Markov Chains and
  Bayesian Optimization
HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization
Vasco Lopes
L. A. Alexandre
BDL
18
0
0
31 Jul 2020
Finite Versus Infinite Neural Networks: an Empirical Study
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee
S. Schoenholz
Jeffrey Pennington
Ben Adlam
Lechao Xiao
Roman Novak
Jascha Narain Sohl-Dickstein
87
214
0
31 Jul 2020
flexgrid2vec: Learning Efficient Visual Representations Vectors
flexgrid2vec: Learning Efficient Visual Representations Vectors
Ali Hamdi
D. Kim
Flora D. Salim
SSLGNN
90
7
0
30 Jul 2020
ResNet After All? Neural ODEs and Their Numerical Solution
ResNet After All? Neural ODEs and Their Numerical Solution
Katharina Ott
P. Katiyar
Philipp Hennig
Michael Tiemann
88
31
0
30 Jul 2020
Growing Efficient Deep Networks by Structured Continuous Sparsification
Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan
Pedro H. P. Savarese
Michael Maire
3DPC
59
45
0
30 Jul 2020
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture
  of Compact DNNs
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
N. Jha
Sparsh Mittal
Binod Kumar
Govardhan Mattela
AAML
66
13
0
30 Jul 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image
  Classification
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
N. H. Phong
B. Ribeiro
VLM
71
8
0
30 Jul 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
Jun Shu
Yanwen Zhu
Qian Zhao
Zongben Xu
Deyu Meng
75
7
0
29 Jul 2020
MaxDropout: Deep Neural Network Regularization Based on Maximum Output
  Values
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
C. F. G. Santos
Danilo Colombo
Mateus Roder
João Paulo Papa
43
15
0
27 Jul 2020
CSER: Communication-efficient SGD with Error Reset
CSER: Communication-efficient SGD with Error Reset
Cong Xie
Shuai Zheng
Oluwasanmi Koyejo
Indranil Gupta
Mu Li
Yanghua Peng
108
40
0
26 Jul 2020
Neural networks with late-phase weights
Neural networks with late-phase weights
J. Oswald
Seijin Kobayashi
Alexander Meulemans
Christian Henning
Benjamin Grewe
João Sacramento
94
35
0
25 Jul 2020
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop
  Prediction
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
Eric Chu
D. Roy
Jacob Andreas
FAttLRM
81
71
0
23 Jul 2020
Reliable Label Bootstrapping for Semi-Supervised Learning
Reliable Label Bootstrapping for Semi-Supervised Learning
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
SSL
73
5
0
23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
294
338
0
22 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu
Daiki Ikami
Go Irie
Kiyoharu Aizawa
74
132
0
22 Jul 2020
Previous
123...565758...818283
Next