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Convolutional Normalization: Improving Deep Convolutional Network
  Robustness and Training
v1v2 (latest)

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training

Neural Information Processing Systems (NeurIPS), 2021
1 March 2021
Sheng Liu
Xiao Li
Yuexiang Zhai
Chong You
Zhihui Zhu
C. Fernandez‐Granda
Qing Qu
ArXiv (abs)PDFHTMLGithub (30★)

Papers citing "Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training"

12 / 12 papers shown
Impact of Architectural Modifications on Deep Learning Adversarial
  Robustness
Impact of Architectural Modifications on Deep Learning Adversarial Robustness
Firuz Juraev
Mohammed Abuhamad
Simon S. Woo
George K Thiruvathukal
Tamer Abuhmed
AAML
355
2
0
03 May 2024
Convolutional Monge Mapping Normalization for learning on sleep data
Convolutional Monge Mapping Normalization for learning on sleep data
Théo Gnassounou
Rémi Flamary
Alexandre Gramfort
OOD
333
0
0
30 May 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OODVLM
738
27
0
10 May 2023
Closed-Loop Transcription via Convolutional Sparse Coding
Closed-Loop Transcription via Convolutional Sparse Coding
Xili Dai
Kai Chen
Shengbang Tong
Jingyuan Zhang
Xingjian Gao
...
Yuexiang Zhai
Xiaojun Yuan
H. Shum
L. Ni
Yi Ma
DiffMDRL
280
6
0
18 Feb 2023
Robust One-Class Classification with Signed Distance Function using
  1-Lipschitz Neural Networks
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Louis Bethune
Paul Novello
Thibaut Boissin
Guillaume Coiffier
M. Serrurier
Quentin Vincenot
Andres Troya-Galvis
331
12
0
26 Jan 2023
Revisiting Sparse Convolutional Model for Visual Recognition
Revisiting Sparse Convolutional Model for Visual RecognitionNeural Information Processing Systems (NeurIPS), 2022
Xili Dai
Mingyang Li
Pengyuan Zhai
Shengbang Tong
Xingjian Gao
Shao-Lun Huang
Zhihui Zhu
Chong You
Yi Ma
FAtt
285
39
0
24 Oct 2022
Kernel Normalized Convolutional Networks
Kernel Normalized Convolutional Networks
Reza Nasirigerdeh
Reihaneh Torkzadehmahani
Daniel Rueckert
Georgios Kaissis
343
2
0
20 May 2022
Feedback Gradient Descent: Efficient and Stable Optimization with
  Orthogonality for DNNs
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsAAAI Conference on Artificial Intelligence (AAAI), 2022
Fanchen Bu
D. Chang
269
7
0
12 May 2022
How Powerful is Graph Convolution for Recommendation?
How Powerful is Graph Convolution for Recommendation?
Yifei Shen
Yongji Wu
Yao Zhang
Caihua Shan
Jun Zhang
Khaled B. Letaief
Dongsheng Li
GNN
281
131
0
17 Aug 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels
To Smooth or Not? When Label Smoothing Meets Noisy LabelsInternational Conference on Machine Learning (ICML), 2021
Jiaheng Wei
Hangyu Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
Yang Liu
NoLa
767
103
0
08 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features
A Geometric Analysis of Neural Collapse with Unconstrained FeaturesNeural Information Processing Systems (NeurIPS), 2021
Zhihui Zhu
Tianyu Ding
Jinxin Zhou
Xiao Li
Chong You
Jeremias Sulam
Qing Qu
359
251
0
06 May 2021
Pay attention to your loss: understanding misconceptions about
  1-Lipschitz neural networks
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networksNeural Information Processing Systems (NeurIPS), 2021
Louis Bethune
Thibaut Boissin
M. Serrurier
Franck Mamalet
Corentin Friedrich
Alberto González Sanz
535
34
0
11 Apr 2021
1
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