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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
Calibrating Deep Neural Network using Euclidean Distance
Calibrating Deep Neural Network using Euclidean Distance
Wenhao Liang
Chang George Dong
Liangwei Nathan Zheng
Zhengyang Li
Wei Emma Zhang
Weitong Chen
UQCV
124
2
0
23 Oct 2024
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion
  Augmentation
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
Muquan Li
Dongyang Zhang
Tao He
Xiurui Xie
Yuan-Fang Li
Ke Qin
124
1
0
23 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
Cheng-Han Yeh
Kuanchun Yu
Chun-Shien Lu
DiffMAAML
160
0
0
22 Oct 2024
Conflict-Aware Adversarial Training
Conflict-Aware Adversarial Training
Zhiyu Xue
Haohan Wang
Yao Qin
Ramtin Pedarsani
AAML
70
0
0
21 Oct 2024
Towards Combating Frequency Simplicity-biased Learning for Domain
  Generalization
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
Xilin He
Jingyu Hu
Qinliang Lin
Cheng Luo
Weicheng Xie
Siyang Song
M. H. Khan
Linlin Shen
86
2
0
21 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
Han Zhou
Jordy Van Landeghem
Teodora Popordanoska
Matthew B. Blaschko
149
3
0
20 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Lukas Tatzel
Bálint Mucsányi
Osane Hackel
Philipp Hennig
115
0
0
18 Oct 2024
Preview-based Category Contrastive Learning for Knowledge Distillation
Preview-based Category Contrastive Learning for Knowledge Distillation
Muhe Ding
Jianlong Wu
Xue Dong
Xiaojie Li
Pengda Qin
Tian Gan
Liqiang Nie
VLM
91
0
0
18 Oct 2024
Reproducibility study of "LICO: Explainable Models with Language-Image
  Consistency"
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"
Luan Fletcher
Robert van der Klis
Martin Sedláček
Stefan Vasilev
Christos Athanasiadis
82
1
0
17 Oct 2024
Multi-style conversion for semantic segmentation of lesions in fundus
  images by adversarial attacks
Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks
Clément Playout
Renaud Duval
Marie Carole Boucher
Farida Cheriet
MedIm
68
1
0
17 Oct 2024
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on
  Decoupling Kullback-Leibler Divergence
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence
Zao Zhang
Huaming Chen
Pei Ning
Nan Yang
Dong Yuan
63
1
0
17 Oct 2024
RAFA-Net: Region Attention Network For Food Items And Agricultural
  Stress Recognition
RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition
Asish Bera
O. Krejcar
D. Bhattacharjee
113
6
0
16 Oct 2024
Consistency Calibration: Improving Uncertainty Calibration via
  Consistency among Perturbed Neighbors
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
Linwei Tao
Haolan Guo
Minjing Dong
Chang Xu
UQCVAAML
60
2
0
16 Oct 2024
Feature Clipping for Uncertainty Calibration
Feature Clipping for Uncertainty Calibration
Linwei Tao
Minjing Dong
Chang Xu
UQCV
67
2
0
16 Oct 2024
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
Yijiao Wang
Li Liu
Zi Liang
Yi R.
Fung
Qingqing Ye
Haibo Hu
AAML
123
1
0
16 Oct 2024
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
Manuel Barusco
Francesco Borsatti
Davide Dalle Pezze
Francesco Paissan
Elisabetta Farella
Gian Antonio Susto
79
3
0
15 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution
  Generalization and Detection
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
Xinting Liao
Weiming Liu
Pengyang Zhou
Fengyuan Yu
Jiahe Xu
Jun Wang
Wenjie Wang
Chaochao Chen
Xiaolin Zheng
FedMLOODD
110
5
0
15 Oct 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAMLMLT
169
0
0
15 Oct 2024
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
Arpan Mukherjee
Shashanka Ubaru
K. Murugesan
Karthikeyan Shanmugam
A. Tajer
68
0
0
14 Oct 2024
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training
Zhanpeng Zhou
Mingze Wang
Yuchen Mao
Bingrui Li
Junchi Yan
AAML
136
1
0
14 Oct 2024
Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
Reducing Data Bottlenecks in Distributed, Heterogeneous Neural Networks
Ruhai Lin
Rui-Jie Zhu
Jason K. Eshraghian
74
1
0
12 Oct 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation
MITA: Bridging the Gap between Model and Data for Test-time Adaptation
Yige Yuan
Bingbing Xu
Teng Xiao
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
TTA
118
1
0
12 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections"
On the Adversarial Transferability of Generalized "Skip Connections"
Yisen Wang
Yichuan Mo
Dongxian Wu
Mingjie Li
Xingjun Ma
Zhouchen Lin
AAML
72
2
0
11 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li
Yuanzhi Li
OOD
94
4
0
11 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai
Jifan Zhang
Robert Nowak
144
7
0
10 Oct 2024
Boosting Deep Ensembles with Learning Rate Tuning
Boosting Deep Ensembles with Learning Rate Tuning
Hongpeng Jin
Yanzhao Wu
71
0
0
10 Oct 2024
Dense Optimizer : An Information Entropy-Guided Structural Search Method
  for Dense-like Neural Network Design
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Design
Liu Tianyuan
Hou Libin
Wang Linyuan
Song Xiyu
Yan Bin
55
0
0
10 Oct 2024
Exploring the design space of deep-learning-based weather forecasting
  systems
Exploring the design space of deep-learning-based weather forecasting systems
Shoaib Ahmed Siddiqui
Jean Kossaifi
Boris Bonev
Christopher Choy
Jan Kautz
David M. Krueger
Kamyar Azizzadenesheli
AI4CEOOD
59
3
0
09 Oct 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in
  Pruning
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
Weihao Lin
Shengji Tang
Chong Yu
Peng Ye
Tao Chen
48
0
0
09 Oct 2024
Efficient and Robust Knowledge Distillation from A Stronger Teacher
  Based on Correlation Matching
Efficient and Robust Knowledge Distillation from A Stronger Teacher Based on Correlation Matching
Wenqi Niu
Yingchao Wang
Guohui Cai
Hanpo Hou
54
1
0
09 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
79
4
0
08 Oct 2024
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
Thomas Steinke
Milad Nasr
Arun Ganesh
Borja Balle
Christopher A. Choquette-Choo
Matthew Jagielski
Jamie Hayes
Abhradeep Thakurta
Adam Smith
Andreas Terzis
145
10
0
08 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTAAAML
161
1
0
07 Oct 2024
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Ray Congrui Yu
Sherry Wu
Jiang Gui
116
1
0
07 Oct 2024
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for
  Finetuning Vision Transformers
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers
Zeyu Michael Li
AAML
114
0
0
01 Oct 2024
Collaborative Knowledge Distillation via a Learning-by-Education Node
  Community
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Anestis Kaimakamidis
Ioannis Mademlis
Ioannis Pitas
71
1
0
30 Sep 2024
Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation
Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation
Yaxin Peng
Yaomin Huang
Haokun Zhu
Jinsong Fan
Guixu Zhang
81
1
0
27 Sep 2024
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning:
  a Debiased Training Perspective
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective
Yu Wang
Yuxuan Yin
Peng Li
79
0
0
26 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang
Yixuan Li
CML
91
2
0
26 Sep 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance
Improving Fast Adversarial Training via Self-Knowledge Guidance
Chengze Jiang
Junkai Wang
Minjing Dong
Jie Gui
Xinli Shi
Yuan Cao
Yuan Yan Tang
James Tin-Yau Kwok
102
1
0
26 Sep 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
Zerun Wang
Liuyu Xiang
Lang Huang
Jiafeng Mao
Ling Xiao
Toshihiko Yamasaki
79
2
0
26 Sep 2024
Enhancing Logits Distillation with Plug\&Play Kendall's $τ$ Ranking Loss
Enhancing Logits Distillation with Plug\&Play Kendall's τττ Ranking Loss
Yuchen Guan
Runxi Cheng
Kang Liu
Chun Yuan
88
0
0
26 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution Detection
Margin-bounded Confidence Scores for Out-of-Distribution Detection
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
Sunil Aryal
OODD
68
0
0
22 Sep 2024
Bilateral Sharpness-Aware Minimization for Flatter Minima
Bilateral Sharpness-Aware Minimization for Flatter Minima
Jiaxin Deng
Junbiao Pang
Baochang Zhang
Qingming Huang
AAML
452
0
0
20 Sep 2024
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online
  Robust Distillation
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
Tsung-Han Wu
Hung-Ting Su
Shang-Tse Chen
Winston H. Hsu
97
1
0
19 Sep 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample
  Selection
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao
Jiangrui Kang
Qiyuan Chen
Zepeng Li
Hongxia Xu
Yiwen Cao
Jiajuan Liang
Jian Wu
66
1
0
18 Sep 2024
Deep-Wide Learning Assistance for Insect Pest Classification
Deep-Wide Learning Assistance for Insect Pest Classification
Toan Nguyen
Huy Nguyen
Huy Ung
Hieu T. Ung
Binh T. Nguyen
67
1
0
16 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
Geigh Zollicoffer
Minh Vu
Ben Nebgen
Juan Castorena
Boian S. Alexandrov
Manish Bhattarai
68
2
0
12 Sep 2024
A Unified Contrastive Loss for Self-Training
A Unified Contrastive Loss for Self-Training
Aurélien Gauffre
Julien Horvat
Massih-Reza Amini
SSL
111
0
0
11 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for
  Image Classification
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Suorong Yang
Furao Shen
Jian Zhao
AAML
61
4
0
10 Sep 2024
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