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
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
Xu He
Qiaochu Huang
Zhensong Zhang
Zhiwei Lin
Zhiyong Wu
Sicheng Yang
Minglei Li
Zhiyi Chen
Songcen Xu
Xiaofei Wu
75
16
0
02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with
  Anisotropic & Isotropic Pseudo Replay
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Yuhang Zhou
Zhongyun Hua
AAMLCLL
96
4
0
02 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised
  Learning
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng
Linyuan Zhou
Han Li
Jinming Su
Xiaoming Wei
Xiaoming Xu
78
5
0
01 Apr 2024
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic
  Distribution Alignment
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
Jia Guo
Haonan Han
Shuai Lu
Weihang Zhang
Huiqi Li
62
0
0
31 Mar 2024
94% on CIFAR-10 in 3.29 Seconds on a Single GPU
94% on CIFAR-10 in 3.29 Seconds on a Single GPU
Keller Jordan
VLM
70
5
0
30 Mar 2024
Revisiting Random Weight Perturbation for Efficiently Improving
  Generalization
Revisiting Random Weight Perturbation for Efficiently Improving Generalization
Tao Li
Qinghua Tao
Weihao Yan
Zehao Lei
Yingwen Wu
Kun Fang
Mingzhen He
Xiaolin Huang
AAML
114
6
0
30 Mar 2024
Efficient Data-Free Model Stealing with Label Diversity
Efficient Data-Free Model Stealing with Label Diversity
Yiyong Liu
Rui Wen
Michael Backes
Yang Zhang
AAML
69
2
0
29 Mar 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution
  Shifts
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
Yuzheng Wang
Dingkang Yang
Zhaoyu Chen
Yang Liu
Siao Liu
Wenqiang Zhang
Lihua Zhang
Lizhe Qi
73
9
0
28 Mar 2024
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress
  Disorder Detection using Audio Recording of Clinical Interviews
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews
M. Dia
G. Khodabandelou
Alice Othmani
81
6
0
28 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via
  Layer-Wise Model Updates
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Natalie Lang
Alejandro Cohen
Nir Shlezinger
FedML
85
6
0
27 Mar 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian
Harsh Rangwani
S. Takemori
Kunal Samanta
Yuhei Umeda
Venkatesh Babu Radhakrishnan
75
0
0
27 Mar 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from
  Federated Learning
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
Joshua C. Zhao
Ahaan Dabholkar
Atul Sharma
Saurabh Bagchi
FedML
62
2
0
26 Mar 2024
Bidirectional Consistency Models
Bidirectional Consistency Models
Liangchen Li
Jiajun He
DiffM
153
15
0
26 Mar 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
Shuyang Cheng
Guanhong Tao
Yingqi Liu
Guangyu Shen
Shengwei An
Shiwei Feng
Xiangzhe Xu
Kaiyuan Zhang
Shiqing Ma
Xiangyu Zhang
AAML
68
5
0
25 Mar 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
155
3
0
25 Mar 2024
A Codesign of Scheduling and Parallelization for Large Model Training in
  Heterogeneous Clusters
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters
Chunyu Xue
Weihao Cui
Han Zhao
Quan Chen
Shulai Zhang
Peng Yang
Jing Yang
Shaobo Li
Minyi Guo
84
2
0
24 Mar 2024
Adversarial Guided Diffusion Models for Adversarial Purification
Adversarial Guided Diffusion Models for Adversarial Purification
Guang Lin
Zerui Tao
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
100
5
0
24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for
  Neural Networks
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
81
1
0
23 Mar 2024
Cell Variational Information Bottleneck Network
Zhonghua Zhai
Chen Ju
Jinsong Lan
Shuai Xiao
47
0
0
22 Mar 2024
Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
Pavan Turaga
Theodore P. Pavlic
CML
93
0
0
21 Mar 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition
Tackling Noisy Labels with Network Parameter Additive Decomposition
Jingyi Wang
Xiaobo Xia
Long Lan
Xinghao Wu
Jun-chen Yu
Wenjing Yang
Bo Han
Tongliang Liu
NoLa
76
9
0
20 Mar 2024
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model
Ultra-High-Resolution Image Synthesis with Pyramid Diffusion Model
Jiajie Yang
62
0
0
19 Mar 2024
TransformMix: Learning Transformation and Mixing Strategies from Data
TransformMix: Learning Transformation and Mixing Strategies from Data
Tsz-Him Cheung
Dit-Yan Yeung
54
1
0
19 Mar 2024
DMAD: Dual Memory Bank for Real-World Anomaly Detection
DMAD: Dual Memory Bank for Real-World Anomaly Detection
Jianlong Hu
Xu Chen
Zhenye Gan
Jinlong Peng
Shengchuan Zhang
Jiangning Zhang
Yabiao Wang
Chengjie Wang
Liujuan Cao
Rongrong Ji
81
5
0
19 Mar 2024
Friendly Sharpness-Aware Minimization
Friendly Sharpness-Aware Minimization
Tao Li
Pan Zhou
Zhengbao He
Xinwen Cheng
Xiaolin Huang
AAML
82
17
0
19 Mar 2024
Posterior Uncertainty Quantification in Neural Networks using Data
  Augmentation
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
Luhuan Wu
Sinead Williamson
UQCV
91
7
0
18 Mar 2024
PAON: A New Neuron Model using Padé Approximants
PAON: A New Neuron Model using Padé Approximants
Onur Keleş
A. Murat Tekalp
57
1
0
18 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With
  FGSM
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Linyu Tang
Lei Zhang
AAML
87
5
0
18 Mar 2024
Automated data processing and feature engineering for deep learning and
  big data applications: a survey
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
84
60
0
18 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced
  Semi-Supervised Learning
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee
Heeyoung Kim
91
3
0
15 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions
Revisiting Adversarial Training under Long-Tailed Distributions
Xinli Yue
Ningping Mou
Qian Wang
Lingchen Zhao
AAML
109
7
0
15 Mar 2024
Efficiently Computing Similarities to Private Datasets
Efficiently Computing Similarities to Private Datasets
A. Backurs
Zinan Lin
S. Mahabadi
Sandeep Silwal
Jakub Tarnawski
93
6
0
13 Mar 2024
Random Search as a Baseline for Sparse Neural Network Architecture
  Search
Random Search as a Baseline for Sparse Neural Network Architecture Search
Rezsa Farahani
61
0
0
13 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
126
7
0
13 Mar 2024
Do Deep Neural Network Solutions Form a Star Domain?
Do Deep Neural Network Solutions Form a Star Domain?
Ankit Sonthalia
Alexander Rubinstein
Ehsan Abbasnejad
Seong Joon Oh
MoMe
594
4
5
12 Mar 2024
Uncertainty-guided Contrastive Learning for Single Source Domain
  Generalisation
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation
Anastasios Arsenos
D. Kollias
Evangelos Petrongonas
Christos Skliros
Stefanos D. Kollias
76
14
0
12 Mar 2024
Enhancing Transfer Learning with Flexible Nonparametric Posterior
  Sampling
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee
G. Nam
Edwin Fong
Juho Lee
BDL
80
6
0
12 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models
Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu
Ling Yang
Jun-Hai Yong
Hongzhi Yin
Jiawei Jiang
Meng Xiao
Wentao Zhang
Bin Wang
74
4
0
11 Mar 2024
PeerAiD: Improving Adversarial Distillation from a Specialized Peer
  Tutor
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
Jaewon Jung
Hongsun Jang
Jaeyong Song
Jinho Lee
OODAAML
261
6
0
11 Mar 2024
Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method
  and Diffusion Models for Osteoporosis Diagnosis
Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method and Diffusion Models for Osteoporosis Diagnosis
Wenchi Ke
DiffMMedIm
27
0
0
11 Mar 2024
Enhanced Sparsification via Stimulative Training
Enhanced Sparsification via Stimulative Training
Shengji Tang
Weihao Lin
Hancheng Ye
Peng Ye
Chong Yu
Baopu Li
Tao Chen
60
2
0
11 Mar 2024
On the Diminishing Returns of Width for Continual Learning
On the Diminishing Returns of Width for Continual Learning
E. Guha
V. Lakshman
CLL
68
6
0
11 Mar 2024
Towards Decoupling Frontend Enhancement and Backend Recognition in
  Monaural Robust ASR
Towards Decoupling Frontend Enhancement and Backend Recognition in Monaural Robust ASR
Yufeng Yang
Ashutosh Pandey
DeLiang Wang
57
4
0
11 Mar 2024
Are Classification Robustness and Explanation Robustness Really Strongly
  Correlated? An Analysis Through Input Loss Landscape
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape
Tiejin Chen
Wenwang Huang
Linsey Pang
Dongsheng Luo
Hua Wei
OOD
64
0
0
09 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly
  for Anomaly Detection
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang
Min Xu
Xiuzhuang Zhou
121
61
0
09 Mar 2024
Frequency Attention for Knowledge Distillation
Frequency Attention for Knowledge Distillation
Cuong Pham
Van-Anh Nguyen
Trung Le
Dinh Q. Phung
Gustavo Carneiro
Thanh-Toan Do
73
18
0
09 Mar 2024
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Warren Morningstar
Alex Bijamov
Chris Duvarney
Luke Friedman
Neha Kalibhat
...
Philip Mansfield
Renan A. Rojas-Gomez
Karan Singhal
Bradley Green
Sushant Prakash
SSL
77
12
0
08 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on
  Training Sets
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
Lorenzo Brigato
Stavroula Mougiakakou
69
0
0
08 Mar 2024
Hide in Thicket: Generating Imperceptible and Rational Adversarial
  Perturbations on 3D Point Clouds
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
Tianrui Lou
Xiaojun Jia
Jindong Gu
Li Liu
Siyuan Liang
Bangyan He
Xiaochun Cao
66
11
0
08 Mar 2024
Privacy Amplification for the Gaussian Mechanism via Bounded Support
Privacy Amplification for the Gaussian Mechanism via Bounded Support
Shengyuan Hu
Saeed Mahloujifar
Virginia Smith
Kamalika Chaudhuri
Chuan Guo
FedML
74
1
0
07 Mar 2024
Previous
123...91011...818283
Next