Understanding the Covariance Structure of Convolutional Filters

Understanding the Covariance Structure of Convolutional Filters

7 October 2022

J. Zico Kolter

Papers citing "Understanding the Covariance Structure of Convolutional Filters"

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Title
Initializing Models with Larger Ones Zhiqiu Xu Yanjie Chen Kirill Vishniakov Yida Yin Zhiqiang Shen Trevor Darrell Lingjie Liu Zhuang Liu 28 17 0 30 Nov 2023
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 395 0 24 Jan 2022
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping James Martens Andy Ballard Guillaume Desjardins G. Swirszcz Valentin Dalibard Jascha Narain Sohl-Dickstein S. Schoenholz 83 43 0 05 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 198 477 0 01 Oct 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 220 347 0 14 Jun 2018