Maximum Class Separation as Inductive Bias in One Matrix

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Maximum Class Separation as Inductive Bias in One Matrix

17 June 2022

Tejaswi Kasarla

Gertjan J. Burghouts

Max van Spengler

Elise van der Pol

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Papers citing "Maximum Class Separation as Inductive Bias in One Matrix"

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Title
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation Di Xie Jiang Xiong Shiliang Pu 119 183 0 06 Mar 2017
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 126 711 0 14 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 81 1,456 0 07 Dec 2016
Regularizing CNNs with Locally Constrained Decorrelations Pau Rodríguez López Jordi Gonzalez Guillem Cucurull J. M. Gonfaus F. X. Roca 70 133 0 07 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,472 0 07 Oct 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 7,995 0 23 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 171 1,945 0 24 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 121 364 0 08 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
Multiclass Learning with Simplex Coding Youssef Mroueh T. Poggio Lorenzo Rosasco Jean-Jacques E. Slotine 110 52 0 06 Sep 2012