"Task-relevant autoencoding" enhances machine learning for human
neuroscience

"Task-relevant autoencoding" enhances machine learning for human neuroscience

17 August 2022

Seyedmehdi Orouji

V. Taschereau-Dumouchel

Cody Cushing

Mouslim Cherkaoui

Hakwan Lau

Megan A. K. Peters

Papers citing ""Task-relevant autoencoding" enhances machine learning for human neuroscience"

5 / 5 papers shown

Title
Learning shared neural manifolds from multi-subject FMRI data Je-chun Huang E. L. Busch Tom Wallenstein Michał Gerasimiuk Andrew Benz Guillaume Lajoie Guy Wolf Nicholas B. Turk-Browne Smita Krishnaswamy 58 17 0 22 Dec 2021
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 246 8,856 0 25 Aug 2017
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 245 11,145 0 14 Mar 2016
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 84 2,226 0 18 Nov 2015
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 83 2,738 0 20 Jun 2014