Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis

1 November 2018

Papers citing "Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis"

6 / 6 papers shown

Title
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning J. Kender Bishwaranjan Bhattacharjee Parijat Dube Brian M. Belgodere 36 0 0 07 Jul 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood Piotr Tempczyk Rafał Michaluk Łukasz Garncarek Przemysław Spurek Jacek Tabor Adam Goliñski 110 28 0 29 Jun 2022
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond M. Ponti Fernando Pereira dos Santos Leo Sampaio Ferraz Ribeiro G. B. Cavallari 56 16 0 06 Sep 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning Chia-Yi Hsu Pin-Yu Chen Songtao Lu Sijia Liu Chia-Mu Yu AAML 80 11 0 02 Mar 2021
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning Pietro Spadaccino F. Cuomo 26 19 0 02 Dec 2020
Generalization of feature embeddings transferred from different video anomaly detection domains Fernando Pereira dos Santos Leo Sampaio Ferraz Ribeiro M. Ponti 31 41 0 28 Jan 2019