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Unsupervised Learning of Disentangled and Interpretable Representations
  from Sequential Data

Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data

22 September 2017
Wei-Ning Hsu
Yu Zhang
James R. Glass
    BDL
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"

47 / 47 papers shown
Title
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning
Runwu Shi
Katsutoshi Itoyama
K. Nakadai
SSL
DRL
39
1
0
31 Dec 2024
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
29
0
0
07 Oct 2024
Cross-Utterance Conditioned VAE for Speech Generation
Cross-Utterance Conditioned VAE for Speech Generation
Y. Li
Cheng Yu
Guangzhi Sun
Weiqin Zu
Zheng Tian
...
Wei Pan
Chao Zhang
Jun Wang
Yang Yang
Fanglei Sun
11
2
0
08 Sep 2023
Multifactor Sequential Disentanglement via Structured Koopman
  Autoencoders
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman
Ilana D Naiman
Omri Azencot
CoGe
22
21
0
30 Mar 2023
Learning Interpretable Low-dimensional Representation via Physical
  Symmetry
Learning Interpretable Low-dimensional Representation via Physical Symmetry
Xuanjie Liu
Daniel Y. Chin
Yichen Huang
Gus Xia
24
3
0
05 Feb 2023
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method
  Using Variational Autoencoder and Adversarial Training
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
21
5
0
16 Nov 2022
Learning Invariant Representation and Risk Minimized for Unsupervised
  Accent Domain Adaptation
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
Chendong Zhao
Jianzong Wang
Xiaoyang Qu
Haoqian Wang
Jing Xiao
SSL
30
1
0
15 Oct 2022
AudioGen: Textually Guided Audio Generation
AudioGen: Textually Guided Audio Generation
Felix Kreuk
Gabriel Synnaeve
Adam Polyak
Uriel Singer
Alexandre Défossez
Jade Copet
Devi Parikh
Yaniv Taigman
Yossi Adi
DiffM
17
289
0
30 Sep 2022
Learning Subject-Invariant Representations from Speech-Evoked EEG Using
  Variational Autoencoders
Learning Subject-Invariant Representations from Speech-Evoked EEG Using Variational Autoencoders
Lies Bollens
T. Francart
Hugo Van hamme
DRL
BDL
9
14
0
01 Jul 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
128
349
0
21 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with
  Application to Mispronunciations Localization
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization
Wei Wei
Hengguan Huang
Xiangming Gu
Hao Wang
Ye Wang
BDL
22
0
0
05 May 2022
Improved far-field speech recognition using Joint Variational
  Autoencoder
Improved far-field speech recognition using Joint Variational Autoencoder
Shashi Kumar
S. Rath
Abhishek Pandey
DRL
10
0
0
24 Apr 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning
A Brief Overview of Unsupervised Neural Speech Representation Learning
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
Lars Maaløe
Christian Igel
BDL
AI4TS
SSL
19
11
0
01 Mar 2022
Benchmarking Generative Latent Variable Models for Speech
Benchmarking Generative Latent Variable Models for Speech
Jakob Drachmann Havtorn
Lasse Borgholt
Søren Hauberg
J. Frellsen
Lars Maaløe
18
3
0
22 Feb 2022
Noise-robust voice conversion with domain adversarial training
Noise-robust voice conversion with domain adversarial training
Hongqiang Du
Lei Xie
Haizhou Li
11
11
0
26 Jan 2022
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech
  Processing
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen
Chengyi Wang
Zhengyang Chen
Yu-Huan Wu
Shujie Liu
...
Yao Qian
Jian Wu
Micheal Zeng
Xiangzhan Yu
Furu Wei
SSL
77
1,698
0
26 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
19
40
0
22 Oct 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech
  Spectrogram Modeling
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
Xiaoyu Bie
Laurent Girin
Simon Leglaive
Thomas Hueber
Xavier Alameda-Pineda
18
12
0
11 Jun 2021
Learning Robust Latent Representations for Controllable Speech Synthesis
Learning Robust Latent Representations for Controllable Speech Synthesis
Shakti Kumar
Jithin Pradeep
Hussain Zaidi
DRL
28
6
0
10 May 2021
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised
  Pre-Training
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Wei-Ning Hsu
Anuroop Sriram
Alexei Baevski
Tatiana Likhomanenko
Qiantong Xu
...
Jacob Kahn
Ann Lee
R. Collobert
Gabriel Synnaeve
Michael Auli
SSL
14
235
0
02 Apr 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
18
119
0
03 Dec 2020
Mutual Information Based Method for Unsupervised Disentanglement of
  Video Representation
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
Aditya Sreekar
Ujjwal Tiwari
A. Namboodiri
DRL
15
4
0
17 Nov 2020
Unsupervised Learning of Disentangled Speech Content and Style
  Representation
Unsupervised Learning of Disentangled Speech Content and Style Representation
Andros Tjandra
Ruoming Pang
Yu Zhang
Shigeki Karita
BDL
DRL
17
15
0
24 Oct 2020
THIN: THrowable Information Networks and Application for Facial
  Expression Recognition In The Wild
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
Estèphe Arnaud
Arnaud Dapogny
Kévin Bailly
CVBM
12
23
0
15 Oct 2020
Dynamic Future Net: Diversified Human Motion Generation
Dynamic Future Net: Diversified Human Motion Generation
Wenheng Chen
He-Nan Wang
Yi Yuan
Tianjia Shao
Kun Zhou
3DH
30
22
0
25 Aug 2020
An Overview of Voice Conversion and its Challenges: From Statistical
  Modeling to Deep Learning
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning
Berrak Sisman
Junichi Yamagishi
Simon King
Haizhou Li
BDL
27
316
0
09 Aug 2020
Privacy-preserving Voice Analysis via Disentangled Representations
Privacy-preserving Voice Analysis via Disentangled Representations
Ranya Aloufi
Hamed Haddadi
David E. Boyle
DRL
13
58
0
29 Jul 2020
Contrastive Predictive Coding Supported Factorized Variational
  Autoencoder for Unsupervised Learning of Disentangled Speech Representations
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations
Janek Ebbers
Michael Kuhlmann
Tobias Cord-Landwehr
Reinhold Haeb-Umbach
DRL
CoGe
SSL
23
4
0
26 May 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement
  and Data Generation
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
Yizhe Zhu
Martin Renqiang Min
Asim Kadav
H. Graf
CoGe
DRL
19
95
0
23 May 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
Mengyue Yang
Furui Liu
Zhitang Chen
Xinwei Shen
Jianye Hao
Jun Wang
OOD
CoGe
CML
41
44
0
18 Apr 2020
Variational inference formulation for a model-free simulation of a
  dynamical system with unknown parameters by a recurrent neural network
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
K. Yeo
D. E. C. Grullon
Fan-Keng Sun
Duane S. Boning
Jayant Kalagnanam
BDL
16
3
0
02 Mar 2020
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
178
313
0
07 Feb 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
26
81
0
02 Jan 2020
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating
  Mechanisms
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Daeryong Kim
B. Suh
14
50
0
03 Nov 2019
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung
James R. Glass
SSL
15
173
0
23 Oct 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled
  Representations
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
Jan Stühmer
Richard E. Turner
Sebastian Nowozin
DRL
BDL
CoGe
111
25
0
05 Sep 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence
  Representations
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
DRL
23
76
0
02 Apr 2019
Domain Mismatch Robust Acoustic Scene Classification using Channel
  Information Conversion
Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion
Seongkyu Mun
Suwon Shon
11
21
0
04 Dec 2018
Unsupervised learning with contrastive latent variable models
Unsupervised learning with contrastive latent variable models
Kristen A. Severson
S. Ghosh
Kenney Ng
SSL
DRL
11
37
0
14 Nov 2018
A General Method for Amortizing Variational Filtering
A General Method for Amortizing Variational Filtering
Joseph Marino
Milan Cvitkovic
Yisong Yue
16
34
0
13 Nov 2018
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle
  Encounters
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
Wenhao Ding
Wenshuo Wang
Ding Zhao
22
13
0
15 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent
  Representations
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari
Harold Soh
CoGe
CML
UD
DRL
19
31
0
12 Sep 2018
Phonetic-and-Semantic Embedding of Spoken Words with Applications in
  Spoken Content Retrieval
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval
Yi-Chen Chen
Sung-Feng Huang
Chia-Hao Shen
Hung-yi Lee
Lin-Shan Lee
38
37
0
21 Jul 2018
Disentangling Controllable and Uncontrollable Factors of Variation by
  Interacting with the World
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
16
10
0
19 Apr 2018
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech
  Domain Adaptation
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation
Ehsan Hosseini-Asl
Yingbo Zhou
Caiming Xiong
R. Socher
16
54
0
27 Mar 2018
Factorised spatial representation learning: application in
  semi-supervised myocardial segmentation
Factorised spatial representation learning: application in semi-supervised myocardial segmentation
A. Chartsias
T. Joyce
G. Papanastasiou
S. Semple
M. Williams
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
DRL
51
69
0
19 Mar 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
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