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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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Detection-Based Multi-Human Tracking Using a CRF Model, Alexandre Heili, Cheng Chen and Jean-Marc Odobez, in: The Eleventh IEEE International Workshop on Visual Surveillance, 2011
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Development of Bilingual ASR System for MediaParl Corpus, Petr Motlicek, David Imseng, Milos Cernak and Namhoon Kim, in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), Singapore, ISCA, 2014
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Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction, Sergio Burdisso, Srikanth Madikeri and Petr Motlicek, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, pages 5421–5440, Association for Computational Linguistics, 2024
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Dictionary Learning for Sparse Representation of Neural Network Exemplars in Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015, pages 1093, 2015
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Differentiable rasterization of minimum-time sigma-lognormal trajectories, D. Berio, Sylvain Calinon, R. Plamondon and F. F. Leymarie, in: In Proc. 22nd Conference of the International Graphonomics Society (IGS), 2025
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Differentiating the Multipoint Expected Improvement for Optimal Batch Design, Sébastien Marmin, Clément Chevalier and David Ginsbourger, in: Machine Learning, Optimization, and Big Data, pages 37-48, Springer International Publishing, 2015
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DiffuCOMET: Contextual Commonsense Knowledge Diffusion, Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji and Antoine Bosselut, in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Bangkok, Thailand, pages 4809–4831, Association for Computational Linguistics, 2024
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Diffusion Transformer for Adaptive Text-to-Speech, Haolin Chen and Philip N. Garner, in: Proc. 12th ISCA Speech Synthesis Workshop (SSW 12), 2023
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Diffusion Twigs with Loop Guidance for Conditional Graph Generation, Giangiacomo Mercatali, Yogesh Verma, Andre Freitas and Vikas Garg, in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
Digi2Real: Bridging the Realism Gap in Synthetic Data Face Recognition via Foundation Models, Anjith George and Sébastien Marcel, in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2025
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Direct Non-Invasive Brain Computer Interfaces, R. Grave de Peralta Menendez, S. L. González Andino, José del R. Millán, T. Pun and C. M. Michel, in: Proceedings of the 9th International Conference on Functional Mapping of the Human Brain, 2003
Disambiguating Discourse Connectives for Statistical Machine Translation, Thomas Meyer, Najeh Hajlaoui and Andrei Popescu-Belis, in: IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(7):1184-1197, 2015
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Disambiguating Temporal-Contrastive Discourse Connectives for Machine Translation, Thomas Meyer, in: Proceedings of ACL-HLT 2011 Student Session, Association for Computational Linguistics, Portland, OR, pages 46--51, 2011
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Discourse Phenomena in Machine Translation, Lesly Miculicich, École polytechnique fédérale de Lausanne, 2020
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Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns, Andrei Popescu-Belis, Thomas Meyer, Jeevanthi Liyanapathirana, Bruno Cartoni and Sandrine Zufferey, in: Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), pages 5, 2012
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Discourse-level Features for Statistical Machine Translation, Thomas Meyer, École Polytechnique Fédérale de Lausanne (EPFL), 2014
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Discovering Eating Routines in Context with a Smartphone App, Daniel Gatica-Perez, Joan-Isaac Biel, David Labbe and Nathalie Martin, in: Ubicomp/Iswc'19 Adjunct: Proceedings Of The 2019 Acm International Joint Conference On Pervasive And Ubiquitous Computing And Proceedings Of The 2019 Acm International Symposium On Wearable Computers, London, pages 422-429, 2019
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Discovering Human Places of Interest from Multimodal Mobile Phone Data, Raul. Montoliu and Daniel Gatica-Perez, in: Proceedings of 9th International Conference on on Mobile and Ubiquitous Multimedia (MUM,',','), Limassol, Cyprus, 2010
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