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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
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn
  Good Representations?
Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations?
Mark Ibrahim
David Klindt
Randall Balestriero
SSL
130
5
1
15 Jun 2024
Tilt and Average : Geometric Adjustment of the Last Layer for
  Recalibration
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
Gyusang Cho
Chan-Hyun Youn
88
0
0
14 Jun 2024
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
Dayal Singh Kalra
M. Barkeshli
125
11
0
13 Jun 2024
Potion: Towards Poison Unlearning
Potion: Towards Poison Unlearning
Stefan Schoepf
Jack Foster
Alexandra Brintrup
AAMLMU
113
10
0
13 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency
  Constraint
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
Jiacong Hu
Jingwen Ye
Zunlei Feng
Jiazhen Yang
Shunyu Liu
Xiaotian Yu
Lingxiang Jia
Mingli Song
AAML
88
2
0
13 Jun 2024
Decoupling the Class Label and the Target Concept in Machine Unlearning
Decoupling the Class Label and the Target Concept in Machine Unlearning
Jianing Zhu
Bo Han
Jiangchao Yao
Jianliang Xu
Gang Niu
Masashi Sugiyama
CLLMU
62
4
0
12 Jun 2024
Adaptive Teaching with Shared Classifier for Knowledge Distillation
Adaptive Teaching with Shared Classifier for Knowledge Distillation
Jaeyeon Jang
Young-Ik Kim
Jisu Lim
Hyeonseong Lee
50
0
0
12 Jun 2024
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Jiaxin Deng
Junbiao Pang
Baochang Zhang
131
1
0
12 Jun 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast
  Update and Selection
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
Wenxiao Wang
Weiming Zhuang
Lingjuan Lyu
101
0
0
11 Jun 2024
PAC-Bayes Analysis for Recalibration in Classification
PAC-Bayes Analysis for Recalibration in Classification
Masahiro Fujisawa
Futoshi Futami
75
1
0
10 Jun 2024
Neural-g: A Deep Learning Framework for Mixing Density Estimation
Neural-g: A Deep Learning Framework for Mixing Density Estimation
Shijie Wang
Saptarshi Chakraborty
Qian Qin
Ray Bai
BDL
119
0
0
10 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain
  Generalization
Causality-inspired Latent Feature Augmentation for Single Domain Generalization
Jian Xu
Chaojie Ji
Yankai Cao
Ye Li
Ruxin Wang
OOD
91
0
0
10 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised
  Learning of Robust Representations
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
Sravanti Addepalli
Priyam Dey
R. Venkatesh Babu
96
0
0
09 Jun 2024
A Recover-then-Discriminate Framework for Robust Anomaly Detection
A Recover-then-Discriminate Framework for Robust Anomaly Detection
Peng-Fei Xing
Dong Zhang
Jinhui Tang
Zechao li
94
1
0
07 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial
  perturbation and sample selection
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Yinting Wu
Pai Peng
Bo Cai
Le Li
.
AAML
68
0
0
06 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by
  Regularizing Unwanted Noise
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
Zhixun He
Mukesh Singhal
79
1
0
05 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification
ZeroPur: Succinct Training-Free Adversarial Purification
Xiuli Bi
Zonglin Yang
Bo Liu
Xiaodong Cun
Chi-Man Pun
133
0
0
05 Jun 2024
Mixup Augmentation with Multiple Interpolations
Mixup Augmentation with Multiple Interpolations
Lifeng Shen
Jincheng Yu
Hansi Yang
James T. Kwok
75
0
0
03 Jun 2024
Differentially Private Fine-Tuning of Diffusion Models
Differentially Private Fine-Tuning of Diffusion Models
Yu-Lin Tsai
Yizhe Li
Zekai Chen
Po-yu Chen
Chia-Mu Yu
Xuebin Ren
Francois Buet-Golfouse
107
3
0
03 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing
Robust Classification by Coupling Data Mollification with Label Smoothing
Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
171
1
0
03 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial
  Training
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang
Feng Liu
Dawei Zhou
Jingfeng Zhang
Tongliang Liu
AAML
63
4
0
02 Jun 2024
On the Use of Anchoring for Training Vision Models
On the Use of Anchoring for Training Vision Models
V. Narayanaswamy
Kowshik Thopalli
Rushil Anirudh
Yamen Mubarka
W. Sakla
Jayaraman J. Thiagarajan
95
0
0
01 Jun 2024
Robust Knowledge Distillation Based on Feature Variance Against
  Backdoored Teacher Model
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model
Jinyin Chen
Xiaoming Zhao
Haibin Zheng
Xiao Li
Sheng Xiang
Haifeng Guo
AAML
50
5
0
01 Jun 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain
  Generalization
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
Songhua Liu
Xin Jin
Xingyi Yang
Jingwen Ye
Xinchao Wang
OOD
167
1
0
01 Jun 2024
einspace: Searching for Neural Architectures from Fundamental Operations
einspace: Searching for Neural Architectures from Fundamental Operations
Linus Ericsson
Miguel Espinosa
Chenhongyi Yang
Antreas Antoniou
Amos Storkey
Shay B. Cohen
Jingyu Sun
Elliot J. Crowley
81
1
0
31 May 2024
Improving Generalization and Convergence by Enhancing Implicit
  Regularization
Improving Generalization and Convergence by Enhancing Implicit Regularization
Mingze Wang
Haotian He
Jinbo Wang
Zilin Wang
Guanhua Huang
Feiyu Xiong
Zhiyu Li
E. Weinan
Lei Wu
96
8
0
31 May 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature
  Adaptation
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang
Ruibing Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
83
4
0
31 May 2024
Knockout: A simple way to handle missing inputs
Knockout: A simple way to handle missing inputs
Minh Nguyen
Batuhan K. Karaman
Heejong Kim
Alan Q. Wang
Fengbei Liu
M. Sabuncu
OODUQCV
73
2
0
30 May 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Yujia Liu
Tong Bu
Jianhao Ding
Zecheng Hao
Tiejun Huang
Zhaofei Yu
AAML
99
5
0
30 May 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
  by a Function Prior
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng
Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
99
5
0
29 May 2024
Federated Learning under Partially Class-Disjoint Data via Manifold
  Reshaping
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
Ziqing Fan
Jiangchao Yao
Ruipeng Zhang
Lingjuan Lyu
Ya Zhang
Yanfeng Wang
FedML
82
2
0
29 May 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under
  Distribution Shifts
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
80
2
0
29 May 2024
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active
  Learning and Model Selection
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection
Yushu Li
Yongyi Su
Xulei Yang
Kui Jia
Xun Xu
TTA
84
0
0
29 May 2024
A Causal Framework for Evaluating Deferring Systems
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba
Andrea Pugnana
Jose M. Alvarez
Salvatore Ruggieri
CML
142
4
0
29 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
117
4
0
28 May 2024
Supervised Batch Normalization
Supervised Batch Normalization
Bilal Faye
M. Lebbah
Hanane Azzag
32
1
0
27 May 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with
  Synthetic Data
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data
Zerun Wang
Jiafeng Mao
Liuyu Xiang
Toshihiko Yamasaki
84
0
0
27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
108
2
0
27 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the
  Pseudo-Robust Shortcut Dependency
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
Runqi Lin
Chaojian Yu
Bo Han
Hang Su
Tongliang Liu
AAML
128
4
0
25 May 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under
  Class Mismatch
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch
Qikai Wang
Rundong He
Yongshun Gong
Chunxiao Ren
Hao Sun
Xiaoshui Huang
Yilong Yin
52
0
0
25 May 2024
Robust width: A lightweight and certifiable adversarial defense
Robust width: A lightweight and certifiable adversarial defense
Jonathan Peck
Bart Goossens
AAML
80
2
0
24 May 2024
ETTrack: Enhanced Temporal Motion Predictor for Multi-Object Tracking
ETTrack: Enhanced Temporal Motion Predictor for Multi-Object Tracking
Xudong Han
Nobuyuki Oishi
Yueying Tian
Elif Ucurum
R. Young
C. Chatwin
Philip Birch
82
5
0
24 May 2024
The Road Less Scheduled
The Road Less Scheduled
Aaron Defazio
Xingyu Yang
Yang
Harsh Mehta
Konstantin Mishchenko
Ahmed Khaled
Ashok Cutkosky
120
60
0
24 May 2024
Controllable Continual Test-Time Adaptation
Controllable Continual Test-Time Adaptation
Ziqi Shi
Fan Lyu
Ye Liu
Fanhua Shang
Fuyuan Hu
Wei Feng
Zhang Zhang
Liang Wang
TTA
108
2
0
23 May 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine
  Learning
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
Meenatchi Sundaram Muthu Selva Annamalai
Emiliano De Cristofaro
98
14
0
23 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
Simon Damm
M. Laszkiewicz
Johannes Lederer
Asja Fischer
128
8
0
23 May 2024
Counterfactual Gradients-based Quantification of Prediction Trust in
  Neural Networks
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
UQCV
86
0
0
22 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble
  of Teachers
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
Shayan Mohajer Hamidi
Linfeng Ye
AAML
80
1
0
22 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begüm Demir
Begüm Demir
125
1
0
22 May 2024
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch
Wen-Shu Fan
Xin-Chun Li
Bowen Tao
79
2
0
21 May 2024
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