Convolutional Normalization: Improving Deep Convolutional Network
Robustness and Training

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training

1 March 2021

Sheng Liu

C. Fernandez‐Granda

Qing Qu

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

8 / 8 papers shown

Title
Impact of Architectural Modifications on Deep Learning Adversarial Robustness Firuz Juraev Mohammed Abuhamad Simon S. Woo George K Thiruvathukal Tamer Abuhmed AAML 51 0 0 03 May 2024
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Y. Ma FAtt 35 27 0 24 Oct 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu D. Chang 28 6 0 12 May 2022
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 28 100 0 17 Aug 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu 27 194 0 06 May 2021
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 233 348 0 14 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016