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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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Fast Transformers with Clustered Attention, Apoorv Vyas, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of the International Conference on Neural Information Processing Systems, 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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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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BertAA: BERT fine-tuning for Authorship Attribution, Mael Fabien, Esaú Villatoro-Tello, Petr Motlicek and Shantipriya Parida, in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
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An Integrated and strategic evaluation of automatic blind controls to achieve energy and occupant's comfort objectives, Chantal Basurto and Jérôme Kämpf, in: Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization (Virtual), Loughborough, UK, 2020
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Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders, Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Mael Fabien and Petr Motlicek, in: Proceedings of the 17th International Conference on Natural Language Processing, 2020
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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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Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing, Lakmal Buddika Meegahapola, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: 19th International Conference on Mobile and Ubiquitous Multimedia, ACM, Essen, Germany, pages 162–166, Association for Computing Machinery, 2020
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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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Spectro-temporal sparsity characterization for dysarthric speech detection, Ina Kodrasi and Hervé Bourlard, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1210-1222, 2020
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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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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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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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