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Representation Learning for Sequence Data with Deep Autoencoding
  Predictive Components

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components

7 October 2020
Junwen Bai
Weiran Wang
Yingbo Zhou
Caiming Xiong
    SSL
    AI4TS
ArXivPDFHTML

Papers citing "Representation Learning for Sequence Data with Deep Autoencoding Predictive Components"

6 / 6 papers shown
Title
Multifactor Sequential Disentanglement via Structured Koopman
  Autoencoders
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman
Ilana D Naiman
Omri Azencot
CoGe
19
21
0
30 Mar 2023
Compressed Predictive Information Coding
Compressed Predictive Information Coding
Rui Meng
Tianyi Luo
K. Bouchard
17
1
0
03 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
22
106
0
02 Mar 2022
Contrastively Disentangled Sequential Variational Autoencoder
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
4
40
0
22 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
11
10
0
18 Oct 2021
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
171
288
0
25 Jan 2020
1