From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

17 October 2023

Quentin Bouniot

Charlotte Laclau

Oliver Struckmeier

Markus Heinonen

Ville Kyrki

Papers citing "From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport"

6 / 6 papers shown

Title
Reliability of CKA as a Similarity Measure in Deep Learning Mohammad-Javad Davari Stefan Horoi A. Natik Guillaume Lajoie Guy Wolf Eugene Belilovsky AAML 52 23 0 28 Oct 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 280 4,299 0 29 Apr 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 942 18,450 0 17 Apr 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 267 9,292 0 19 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 231 9,849 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 9,997 0 01 Sep 2014