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


Feb 17, 2021
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


Feb 01, 2021
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


Jan 18, 2021
Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel


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A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model


Jun 26, 2020
Steffen Czolbe, Oswin Krause, Ingemar Cox, Christian Igel


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On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions


Jun 26, 2020
Kai Brügge, Asja Fischer, Christian Igel


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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset


May 26, 2020
Arjun D. Desai, Francesco Caliva, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew Torigian, Jutta Ellermann, Mehmet Akcakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O`Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry E. Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

* Submitted to Radiology: Artificial Intelligence; Fixed typos 

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Label-similarity Curriculum Learning


Nov 15, 2019
Urun Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel


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One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation


Nov 05, 2019
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel

* Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 11765, pp. 30-38, Springer, 2019 

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U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging


Oct 24, 2019
Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel

* To appear in Advances in Neural Information Processing Systems (NeurIPS), 2019 

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Knowledge distillation for semi-supervised domain adaptation


Aug 16, 2019
Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai

* MLCN MICCAI workshop 

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On PAC-Bayesian Bounds for Random Forests


Oct 23, 2018
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin


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PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation


Oct 03, 2018
Mauricio Orbes Arteaga, Lauge Sørensen, Jorge Cardoso, Marc Modat, Sebastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai


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Training Big Random Forests with Little Resources


Feb 18, 2018
Fabian Gieseke, Christian Igel

* 9 pages, 9 Figures 

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A Strongly Quasiconvex PAC-Bayesian Bound


Aug 24, 2017
Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin


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Population-Contrastive-Divergence: Does Consistency help with RBM training?


Jun 28, 2017
Oswin Krause, Asja Fischer, Christian Igel

* An updated version is under review 

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Sacrificing information for the greater good: how to select photometric bands for optimal accuracy


Jul 06, 2016
Kristoffer Stensbo-Smidt, Fabian Gieseke, Christian Igel, Andrew Zirm, Kim Steenstrup Pedersen

* 20 pages, 13 figures, 3 tables. v2: Significant changes to match revised version, including new photo-z estimation experiment 

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Bigger Buffer k-d Trees on Multi-Many-Core Systems


Dec 09, 2015
Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes


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Recent Results on No-Free-Lunch Theorems for Optimization


Mar 31, 2003
Christian Igel, Marc Toussaint

* 10 pages, LaTeX, see http://www.neuroinformatik.rub.de/PROJECTS/SONN/ 

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Neutrality: A Necessity for Self-Adaptation


Apr 16, 2002
Marc Toussaint, Christian Igel

* Proceedings of the Congress on Evolutionary Computation (CEC 2002), 1354-1359. 
* 6 pages, 3 figures, LaTeX 

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On Classes of Functions for which No Free Lunch Results Hold


Aug 21, 2001
Christian Igel, Marc Toussaint

* 8 pages, 1 figure, see http://www.neuroinformatik.ruhr-uni-bochum.de/ 

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