Grounding inductive biases in natural images:invariance stems from
variations in data

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Grounding inductive biases in natural images:invariance stems from variations in data

9 June 2021

Diane Bouchacourt

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Papers citing "Grounding inductive biases in natural images:invariance stems from variations in data"

18 / 18 papers shown

Title
Tracking translation invariance in CNNs Johannes C. Myburgh Coenraad Mouton Marelie Hattingh Davel 24 13 0 13 Apr 2021
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 84 70 0 22 Oct 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 81 96 0 06 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 267 4,101 0 17 Jun 2020
U $^2$ -Net: Going Deeper with Nested U-Structure for Salient Object Detection Xuebin Qin Zichen Zhang Chenyang Huang Masood Dehghan Osmar R. Zaiane Martin Jägersand 90 1,666 0 18 May 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 132 324 0 25 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 242 320 0 07 Feb 2020
Fixing the train-test resolution discrepancy Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou 139 424 0 14 Jun 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 95 798 0 25 Apr 2019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 96 298 0 28 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 224 316 0 05 Nov 2018
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 84 86 0 16 Aug 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 82 562 0 30 May 2018
Quantifying Translation-Invariance in Convolutional Neural Networks Eric Kauderer-Abrams 65 113 0 10 Dec 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 145 1,074 0 12 Nov 2017
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 176 1,946 0 24 Feb 2016
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 122 537 0 21 Nov 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,460 0 24 Jun 2012