A Group-Theoretic Framework for Data Augmentation

25 July 2019

Papers citing "A Group-Theoretic Framework for Data Augmentation"

8 / 8 papers shown

Title
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 33 4 0 06 Jun 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 19 1 0 03 Mar 2023
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 127 78 0 01 Oct 2021
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 16 131 0 03 Nov 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 156 308 0 05 Nov 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 30 141 0 11 Jun 2018
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 158 175 0 04 Nov 2016