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International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020)

Dysarthric Speech Recognition with Lattice-Free MMI, Enno Hermann and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 6109-6113, 2020
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ACL (2020)


International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020)

Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs, Julian Fritsch, S. Pavankumar Dubagunta and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020
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Machine Learning for Engineering Modeling, Simulation, and Design Workshop at Neural Information Processing Systems 2020 (2020)

Exact Preimages of Neural Network Aircraft Collision Avoidance Systems, Kyle Matoba and Francois Fleuret, in: Machine Learning for Engineering Modeling, Simulation, and Design Workshop at Neural Information Processing Systems 2020, 2020
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Proceedings of the International Conference on Neural Information Processing Systems (2020)

Fast Transformers with Clustered Attention, Apoorv Vyas, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of the International Conference on Neural Information Processing Systems, 2020

Robotics: Science and Systems (2020)


International Join Conference on Biometrics (2020)


In Proc. Conference on Robot Learning (CoRL) (2020)


Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (2020)

Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020
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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings (2020)

Graph-to-Graph Transformer for Transition-based Dependency Parsing, Alireza Mohammadshahi and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, ACL, Online, pages 3278–3289, Association for Computational Linguistics, 2020
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Proceedings of the GermEval 2020 Shared Task on the Classification and Regression of Cognitive and Motivational style from Text (2020)

Idiap & UAM participation at GermEval 2020: Classification and Regression of Cognitive and Motivational Style from Text, Esaú Villatoro-Tello, Shantipriya Parida, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the GermEval 2020 Shared Task on the Classification and Regression of Cognitive and Motivational style from Text, 2020
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Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020) (2020)

Idiap and UAM Participation at MEX-A3T Evaluation Campaign, Esaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Shantipriya Parida, Sajit Kumar and Petr Motlicek, in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), pages 6, CEUR Workshop Proceedings, 2020
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Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS) (2020)

Idiap Submission to Swiss-German Language Detection Shared Task, Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Petr Motlicek and Qingran Zhan, in: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), CEUR Workshop Proceedings, 2020
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45th International Conference on Acoustics, Speech, and Signal Processing (2020)


Proceedings of ICASSP 2020 (2020)


INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB 2020) (2020)


In Proceedings of Interspeech 2020 (2020)


International Conference on Robotics and Automation (2020)


Proc. Int. Conf. on Mobile and Ubiquitous Multimedia (2020)

Learning Urban Nightlife Routines from Mobile Data, Ada Pozo, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proc. Int. Conf. on Mobile and Ubiquitous Multimedia, Essen, Germany, 2020
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Proc. ACM/IEEE Intl Conf. on Human-Robot Interaction (HRI) (2020)

Learning, Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction, M. Panteris, S. Manschitz and Sylvain Calinon, in: Proc. ACM/IEEE Intl Conf. on Human-Robot Interaction (HRI), pages 386-388, 2020
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Symposium on Eye Tracking Research and Applications (2020)

ManiGaze: a Dataset for Evaluating Remote Gaze Estimator in Object Manipulation Situations, Remy Siegfried, Bozorgmehr Aminian and Jean-Marc Odobez, in: Symposium on Eye Tracking Research and Applications, Stuttgart, Germany, pages 5, ACM, 2020
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Proceedings of the 7th Workshop on Asian Translation (2020)


Proceedings of the 37th International Conference on Machine Learning (2020)

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning, Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi and Francois Fleuret, in: Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, 2020
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Proceedings of the 7th Workshop on Asian Translation (2020)


Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference (2020)

Partially-supervised Mention Detection, Lesly Miculicich and James Henderson, in: Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, 2020
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IEEE International Conference on Robotics and Automation (2020)


Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (2020)

Plug and Play Autoencoders for Conditional Text Generation, Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith and James Henderson, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Online, 2020
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19th International Conference on Mobile and Ubiquitous Multimedia (2020)

Protecting Mobile Food Diaries from Getting too Personal, Lakmal Buddika Meegahapola, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: 19th International Conference on Mobile and Ubiquitous Multimedia, Essen, Germany, pages 212–222, Association for Computing Machinery, 2020
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IEEE International Conference on Acoustics, Speech, and Signal Processing (2020)


Asian Conference on Computer Vision (2020)


IEEE/RSJ International Conference on Intelligent Robots and Systems (2020)


2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020)

Spatial Attention for Far-Field Speech Recognition with Deep Beamforming Neural Networks, Weipeng He, Lu Lu, Biqiao Zhang, Jay Mahadeokar, Kaustubh Kalgaonkar and Christian Fuegen, in: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, pages 7499-7503, 2020
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Interspeech (2020)


International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020)

SYNTHETIC SPEECH REFERENCES FOR AUTOMATIC PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020
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Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication (2020)

The MuMMER data set for Robot Perception in multi-party HRI Scenarios, Olivier Canévet, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication, 2020
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Proceedings of the International Conference on Computational Creativity (2020)

The societal and ethical relevance of computational Creativity, Michele Loi, Eleonora Viganò and Lonneke van der Plas, in: Proceedings of the International Conference on Computational Creativity, 2020

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)

The Unstoppable Rise of Computational Linguistics in Deep Learning, James Henderson, in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Online, pages 6294-6306, Association for Computational Linguistics, 2020
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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020)

Towards Multilingual Sign Language Recognition, Sandrine Tornay, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
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Proceedings of International Conference on Machine Learning (2020)


Proc. ACM Int. Conf. on Multimodal Interaction (ICMI) (2020)


Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (2020)

Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement, Thanh-Trung Phan, Florian Labhart, Skanda Muralidhar and Daniel Gatica-Perez, in: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

Unsupervised Representation Learning for Gaze Estimation, Yu Yu and Jean-Marc Odobez, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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International Conference on Robotics and Automation (2020)


Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (2019)

#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram, Thanh-Trung Phan, Skanda Muralidhar and Daniel Gatica-Perez, in: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, Trento, Italy, 2019
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In Proceedings of ICASSP 2019 (2019)

A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, Srikanth Madikeri, Subhadeep Dey and Petr Motlicek, in: In Proceedings of ICASSP 2019, Brighton, ENGLAND, pages 5786-5790, 2019
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2019 ACM Symposium on Eye Tracking Research and Applications (2019)

A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos, Remy Siegfried, Yu Yu and Jean-Marc Odobez, in: 2019 ACM Symposium on Eye Tracking Research and Applications, pages 5, ACM, 2019
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A Learning-Based Framework for Quantized Compressed Sensing (2019)

A Learning-Based Framework for Quantized Compressed Sensing, Rabeeh Karimi Mahabadi, Junhong lin and Volkan Cevher, in: A Learning-Based Framework for Quantized Compressed Sensing, 2019
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Journal of Physics: Conference Series (2019)


In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) (2019)

Abstract Text Summarization: A Low Resource Challenge, Shantipriya Parida and Petr Motlicek, in: In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), HongKong, China, pages 5, Association for Computational Linguistics (ACL), 2019
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