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Self-Supervised Speech Representation Learning: A Review



Abdelrahman Mohamed , Hung-yi Lee , Lasse Borgholt , Jakob D. Havtorn , Joakim Edin , Christian Igel , Katrin Kirchhoff , Shang-Wen Li , Karen Livescu , Lars Maaløe , Tara N. Sainath , Shinji Watanabe


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Remember to correct the bias when using deep learning for regression!



Christian Igel , Stefan Oehmcke

* 8 pages, 3 figures, 2 tables 

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A Brief Overview of Unsupervised Neural Speech Representation Learning



Lasse Borgholt , Jakob Drachmann Havtorn , Joakim Edin , Lars Maaløe , Christian Igel

* The 2nd Workshop on Self-supervised Learning for Audio and Speech Processing (SAS) at AAAI 

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Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass



Stefan Oehmcke , Lei Li , Jaime Revenga , Thomas Nord-Larsen , Katerina Trepekli , Fabian Gieseke , Christian Igel


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Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?



Lasse Borgholt , Jakob Drachmann Havtorn , Mostafa Abdou , Joakim Edin , Lars Maaløe , Anders Søgaard , Christian Igel

* Under review as a conference paper at ICASSP 2022 

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Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote



Yi-Shan Wu , Andrés R. Masegosa , Stephan S. Lorenzen , Christian Igel , Yevgeny Seldin

* arXiv admin note: text overlap with arXiv:2007.13532 

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Information Bottleneck: Exact Analysis of (Quantized) Neural Networks



Stephan Sloth Lorenzen , Christian Igel , Mads Nielsen


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Do End-to-End Speech Recognition Models Care About Context?



Lasse Borgholt , Jakob Drachmann Havtorn , Željko Agić , Anders Søgaard , Lars Maaløe , Christian Igel

* Published in the proceedings of INTERSPEECH 2020, pp. 4352-4356 

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On Scaling Contrastive Representations for Low-Resource Speech Recognition



Lasse Borgholt , Tycho Max Sylvester Tax , Jakob Drachmann Havtorn , Lars Maaløe , Christian Igel

* {\copyright} 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts



Svetlana Kutuzova , Oswin Krause , Douglas McCloskey , Mads Nielsen , Christian Igel


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