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Wide Residual Networks

Wide Residual Networks

23 May 2016
Sergey Zagoruyko
N. Komodakis
ArXivPDFHTML

Papers citing "Wide Residual Networks"

50 / 4,114 papers shown
Title
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic
  Test-Time Adaptation
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
Chaoqun Du
Yulin Wang
Jiayi Guo
Yizeng Han
Jie Zhou
Gao Huang
TTA
35
0
0
29 Jul 2024
Unifying Visual and Semantic Feature Spaces with Diffusion Models for
  Enhanced Cross-Modal Alignment
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment
Yuze Zheng
Zixuan Li
Xiangxian Li
Jinxing Liu
Yuqing Wang
Xiangxu Meng
Lei Meng
DiffM
35
2
0
26 Jul 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with
  Class Taxonomies
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
Jia Shi
Gautam Gare
Jinjin Tian
Siqi Chai
Zhiqiu Lin
Arun Vasudevan
Di Feng
Francesco Ferroni
Shu Kong
VLM
OODD
OOD
50
3
0
22 Jul 2024
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures
Kuluhan Binici
Weiming Wu
Tulika Mitra
22
1
0
22 Jul 2024
Variational Potential Flow: A Novel Probabilistic Framework for
  Energy-Based Generative Modelling
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo
Michelle Adeline
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
DiffM
36
0
0
21 Jul 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack
SeqMIA: Sequential-Metric Based Membership Inference Attack
Hao Li
Zheng Li
Siyuan Wu
Chengrui Hu
Yutong Ye
Min Zhang
Dengguo Feng
Yang Zhang
32
3
0
21 Jul 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data
Many Perception Tasks are Highly Redundant Functions of their Input Data
Rahul Ramesh
Anthony Bisulco
Ronald W. DiTullio
Linran Wei
Vijay Balasubramanian
Kostas Daniilidis
Pratik Chaudhari
36
2
0
18 Jul 2024
Improving SAM Requires Rethinking its Optimization Formulation
Improving SAM Requires Rethinking its Optimization Formulation
Wanyun Xie
Fabian Latorre
Kimon Antonakopoulos
Thomas Pethick
V. Cevher
34
1
0
17 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A
  Bi-level Optimization Perspective
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
Zhaoxin Wang
Handing Wang
Cong Tian
Yaochu Jin
AAML
48
2
0
17 Jul 2024
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted
  Features
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
Luc P.J. Strater
Mohammadreza Salehi
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
38
7
0
17 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the
  Wild Dataset
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
Mijoo Kim
Junseok Kwon
UQCV
30
1
0
17 Jul 2024
Adaptive Cascading Network for Continual Test-Time Adaptation
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen
Fengchun Qiao
Xi Peng
TTA
CLL
VLM
27
1
0
17 Jul 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic
  Online Data Streams
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang
Zhixiang Chi
Yanan Wu
Li Gu
Zhi Liu
Konstantinos Plataniotis
Yang Wang
OOD
TTA
42
2
0
16 Jul 2024
Benchmarking the Attribution Quality of Vision Models
Benchmarking the Attribution Quality of Vision Models
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
FAtt
29
3
0
16 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
40
1
0
16 Jul 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
Shuyang Cheng
Guangyu Shen
Kaiyuan Zhang
Guanhong Tao
Shengwei An
Hanxi Guo
Shiqing Ma
Xiangyu Zhang
AAML
23
0
0
16 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust
  Recognition
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao-Li Li
Yining Liu
Na Dong
Sitian Qin
Xiaolin Hu
36
3
0
15 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for
  Continual Test-Time Adaptation
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu
Xiaopeng Hong
Zhiheng Ma
Weijun Zhuang
Yaohui Ma
Yong Dai
Yaowei Wang
CLL
TTA
35
2
0
12 Jul 2024
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy
Julian Wyatt
Irina Voiculescu
MedIm
36
0
0
12 Jul 2024
DroneMOT: Drone-based Multi-Object Tracking Considering Detection
  Difficulties and Simultaneous Moving of Drones and Objects
DroneMOT: Drone-based Multi-Object Tracking Considering Detection Difficulties and Simultaneous Moving of Drones and Objects
Peng Wang
Yongcai Wang
Deying Li
VOT
30
2
0
12 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin
Xin Jin
Hongyu Zhu
Hongchao Liao
M. El-Yacoubi
Xinbo Gao
UQCV
26
5
0
10 Jul 2024
Probabilistic learning rate scheduler with provable convergence
Probabilistic learning rate scheduler with provable convergence
Dahlia Devapriya
Thulasi Tholeti
Janani Suresh
Sheetal Kalyani
32
0
0
10 Jul 2024
Enhanced Model Robustness to Input Corruptions by Per-corruption
  Adaptation of Normalization Statistics
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics
Elena Camuffo
Umberto Michieli
Simone Milani
J. Moon
Mete Ozay
39
1
0
08 Jul 2024
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference
  in Edge Computing
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing
Tong Zhou
Jiahui Zhao
Yukui Luo
Xi Xie
Wujie Wen
Caiwen Ding
Xiaolin Xu
37
15
0
08 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced
  Semi-Supervised Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
40
0
0
07 Jul 2024
Leveraging Topological Guidance for Improved Knowledge Distillation
Leveraging Topological Guidance for Improved Knowledge Distillation
Eun Som Jeon
Rahul Khurana
Aishani Pathak
P. Turaga
49
0
0
07 Jul 2024
Topological Persistence Guided Knowledge Distillation for Wearable
  Sensor Data
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
Eun Som Jeon
Hongjun Choi
A. Shukla
Yuan Wang
Hyunglae Lee
M. Buman
P. Turaga
27
3
0
07 Jul 2024
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
Isha Garg
Christian Koguchi
Eshan Verma
Daniel Ulbricht
24
0
0
05 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input
  Marginal Density
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density
Peiyu Yang
Naveed Akhtar
Mubarak Shah
Ajmal Saeed Mian
AAML
23
1
0
05 Jul 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey
Predictive Coding Networks and Inference Learning: Tutorial and Survey
B. V. Zwol
Ro Jefferson
E. V. D. Broek
50
0
0
04 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
57
0
0
04 Jul 2024
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample
  Contrastive Loss for Semi-supervised Image Classification
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
Xuerong Zhang
Li Huang
Jing Lv
Ming Yang
34
1
0
04 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive
  Learning
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
Saandeep Aathreya
Shaun J. Canavan
OODD
34
0
0
03 Jul 2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and
  Localization
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
Hanxi Li
Jingqi Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Chunhua Shen
26
0
0
03 Jul 2024
Domain-independent detection of known anomalies
Domain-independent detection of known anomalies
Jonas Buhler
Jonas Fehrenbach
Lucas Steinmann
Christian Nauck
Marios Koulakis
26
0
0
03 Jul 2024
Parameter-Selective Continual Test-Time Adaptation
Parameter-Selective Continual Test-Time Adaptation
Jiaxu Tian
Fan Lyu
TTA
CLL
49
1
0
02 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning
  Models
A Method to Facilitate Membership Inference Attacks in Deep Learning Models
Zitao Chen
Karthik Pattabiraman
MIACV
MLAU
AAML
MIALM
67
1
0
02 Jul 2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
Yun Liang
Zhiguang Hu
Junjie Huang
Donglin Di
Anyang Su
Lei Fan
45
2
0
01 Jul 2024
How Does Overparameterization Affect Features?
How Does Overparameterization Affect Features?
Ahmet Cagri Duzgun
Samy Jelassi
Yuanzhi Li
28
0
0
01 Jul 2024
Diffusion Models and Representation Learning: A Survey
Diffusion Models and Representation Learning: A Survey
Michael Fuest
Pingchuan Ma
Ming Gui
Johannes S. Fischer
Vincent Tao Hu
Bjorn Ommer
DiffM
30
19
0
30 Jun 2024
Consistency Purification: Effective and Efficient Diffusion Purification
  towards Certified Robustness
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
Yiquan Li
Zhongzhu Chen
Kun Jin
Jiongxiao Wang
Bo Li
Chaowei Xiao
DiffM
31
1
0
30 Jun 2024
On the Trade-off between Flatness and Optimization in Distributed
  Learning
On the Trade-off between Flatness and Optimization in Distributed Learning
Ying Cao
Zhaoxian Wu
Kun Yuan
Ali H. Sayed
28
1
0
28 Jun 2024
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully
  Test-time Adaptation
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation
Yushun Tang
Shuoshuo Chen
Zhehan Kan
Yi Zhang
Qinghai Guo
Zhihai He
43
2
0
27 Jun 2024
Instance Temperature Knowledge Distillation
Instance Temperature Knowledge Distillation
Zhengbo Zhang
Yuxi Zhou
Jia Gong
Jun Liu
Zhigang Tu
21
2
0
27 Jun 2024
Fast Optimizer Benchmark
Fast Optimizer Benchmark
Simon Blauth
Tobias Bürger
Zacharias Häringer
Jörg Franke
Frank Hutter
34
0
0
26 Jun 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in
  Dialect Identification
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification
Yaqian Hao
Chenguang Hu
Yingying Gao
Shilei Zhang
Junlan Feng
21
0
0
26 Jun 2024
On Calibration of Speech Classification Models: Insights from
  Energy-Based Model Investigations
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations
Yaqian Hao
Chenguang Hu
Yingying Gao
Shilei Zhang
Junlan Feng
26
1
0
26 Jun 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway
  Detection
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Yi Li
Plamen Angelov
Zhengxin Yu
Alvaro Lopez Pellicer
Neeraj Suri
26
2
0
22 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
36
2
0
22 Jun 2024
DataFreeShield: Defending Adversarial Attacks without Training Data
DataFreeShield: Defending Adversarial Attacks without Training Data
Hyeyoon Lee
Kanghyun Choi
Dain Kwon
Sunjong Park
Mayoore S. Jaiswal
Noseong Park
Jonghyun Choi
Jinho Lee
30
0
0
21 Jun 2024
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