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Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, Behrooz Razeghi, Parsa Rahimi and Sébastien Marcel, in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024
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Heterogeneous Face Recognition Using Domain Invariant Units, Anjith George and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2024
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Multitask Speech Recognition and Speaker Change Detection for Unknown Number of Speakers, Shashi Kumar, Srikanth Madikeri, Nigmatulina Iuliia, Esaú Villatoro-Tello, Petr Motlicek, Karthik Pandia D S, S. Pavankumar Dubagunta and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12592-12596, IEEE, 2024
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Fine-tuning Self-Supervised Models For Language Identification Using Orthonormal Constraint, Amrutha Prasad, Andrés Carofilis, Geoffroy Vanderreydt, Driss Khalil, Srikanth Madikeri, Petr Motlicek and Schüpbach Christof, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), pages 11921-11925, 2024
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Online Learning of Continuous Signed Distance Fields Using Piecewise Polynomials, Ante Marić, Yiming Li and Sylvain Calinon, in: IEEE Robotics and Automation Letters (RA-L), 9(6):6020-6026, 2024
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Probability-Aware Word-Confusion-Network-to-Text Alignment Approach for Intent Classification, Esaú Villatoro-Tello, Srikanth Madikeri, Bidisha Sharma, Driss Khalil, Shashi Kumar, Nigmatulina Iuliia, Petr Motlicek and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12617-12621, IEEE, 2024
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CONTEXTUAL BIASING METHODS FOR IMPROVING RARE WORD DETECTION IN AUTOMATIC SPEECH RECOGNITION, Mrinmoy Bhattacharjee, Nigmatulina Iuliia, Amrutha Prasad, Pradeep Rangappa, Srikanth Madikeri, Petr Motlicek, Hartmut Helmke and Matthias Kleinert, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Korea, 2024
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Demystifying the Scribes behind the Voynich Manuscript using Computational Linguistic Techniques, Kevin Farrugia, Colin Layfield and Lonneke van der Plas, in: Proceedings of the 1st International Conference on the Voynich Manuscript, 2022
UM-DFKI Maltese Speech Translation, Aiden Williams, Kurt Abela, Rishu Kumar, Martin Bär, Hannah Billinghurst, Kurt Micallef, Ahnaf Mozib Samin, Andrea DeMarco, Lonneke van der Plas and Claudia Borg, in: Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), 2022
Data-driven Urban Building Energy Modeling with Machine Learning in Satom (CH), Ahad Montazeri, Jérôme Kämpf and Guglielmina Mutani, in: 6th International IEEE Conference AND Workshop in Obuda on Electrical and Power Engineering, 2023
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023
Transformers, Tables and Frame Semantics, Mario Ramirez, Alex Bogatu, Norman Paton and Andre Freitas, in: International Conference on Semantic Computing, 2023
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023
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Learning Disentangled Representations for Natural Language Definitions, Danilo Carvalho, Giangiacomo Mercatali, Yingji Zhang and Andre Freitas, in: In Findings of the European chapter of Association for Computational Linguistics, 2023
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Bi-directional Training for Composed Image Retrieval via Text Prompt Learning, Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney and Stephen Gould, in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
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A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, Jordan Meadows, Marco Valentino, Damien Teney and Andre Freitas, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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Learning diverse features in vision transformers for improved generalization, Armand Mihai Nicolicioiu, Andrei Liviu Nicolicioiu, Bogdan Alexe and Damien Teney, in: ICML 2023: The Second Workshop on Spurious Correlations, Invariance and Stability, 2023
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