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On denoising autoencoders trained to minimise binary cross-entropy

On denoising autoencoders trained to minimise binary cross-entropy

28 August 2017
Antonia Creswell
Kai Arulkumaran
Anil A. Bharath
ArXivPDFHTML

Papers citing "On denoising autoencoders trained to minimise binary cross-entropy"

4 / 4 papers shown
Title
DialogVCS: Robust Natural Language Understanding in Dialogue System
  Upgrade
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
Zefan Cai
Xin Zheng
Tianyu Liu
Xu Wang
H. Meng
Jiaqi Han
Gang Yuan
Binghuai Lin
Baobao Chang
Yunbo Cao
26
4
0
24 May 2023
Instance-Dependent Noisy Label Learning via Graphical Modelling
Instance-Dependent Noisy Label Learning via Graphical Modelling
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
39
27
0
02 Sep 2022
Comparing representations of biological data learned with different AI
  paradigms, augmenting and cropping strategies
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies
A. Dmitrenko
M. M. Masiero
N. Zamboni
SSL
16
2
0
07 Mar 2022
Automated Human Claustrum Segmentation using Deep Learning Technologies
Automated Human Claustrum Segmentation using Deep Learning Technologies
A. Albishri
Syed Jawad Hussain Shah
Anthony Schmiedler
S. Kang
Yugyung Lee
30
4
0
18 Nov 2019
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