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The Voice of Personality: Mapping Nonverbal Vocal Behavior into Trait Attributions, , and , in: Proceedings of ACM Multimedia Workshop on Social Signal Processing, 2010 |
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Modeling Structured Data in Attention-based Models, , EPFL, 2023 |
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Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task, , and , in: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), Hong Kong, pages 27-33, Association for Computational Linguistics, 2019 |
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Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, and , in: Procceedings of 8th Workshop on Representation Learning for NLP, 2023 |
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Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling, and , in: Arxiv, 2021 |
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, and , in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021 |
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, and , in: Transactions of the Association for Computational Linguistics(under submission), 2020 |
Graph-to-Graph Transformer for Transition-based Dependency Parsing, and , in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020 |
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, and , in: Transactions of the Association for Computational Linguistics, 2020 |
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Graph-to-Graph Transformer for Transition-based Dependency Parsing, and , 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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SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages, , , , , and , in: The 2022 Conference on Empirical Methods in Natural Language Processing, 2022 |
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What Do Compressed Multilingual Machine Translation Models Forget?, , , , , and , in: The 2022 Conference on Empirical Methods in Natural Language Processing, 2022 |
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RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question, , , , , , and , in: Association for Computational Linguistics: ACL 2023, Toronto, Canada, 2023 |
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Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework, , , and , in: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc. USA and Scrivener Publishing LLC, USA, 2021 |
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Incremental Enrollment of Speech Recognizers, and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'99,',','), Phoenix, Arizona, USA, 1999 |
Learning the structure of image collections with latent aspect models, , École Polytechnique Fédérale de Lausanne, 2007 |
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Learning the structure of image collections with latent aspect models, , Idiap-RR-06-2007 |
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Modeling semantic aspects for cross-media image indexing, and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007 |
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Modeling semantic aspects for cross-media image indexing, and , Idiap-RR-56-2005 |
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PLSA-based Image Auto-Annotation: Constraining the Latent Space, and , in: Proc. ACM Int. Conf. on Multimedia (ACM MM), 2004 |
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PLSA-based Image Auto-Annotation: Constraining the Latent Space, and , Idiap-RR-30-2004 |
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On Image Auto-Annotation with Latent Space Models, and , in: Proc. ACM Int. Conf. on Multimedia (ACM MM), 2003 |
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On Automatic Annotation of Images with Latent Space Models, and , Idiap-RR-31-2003 |
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Constructing visual models with a latent space approach, , , and , in: the Springer series of Lecture Notes in Computer Science, 2006 |
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Constructing visual models with a latent space approach, , , and , Idiap-RR-14-2005 |
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Contextual classification of image patches with latent aspect models, , , and , in: EURASIP Journal on Image and Video Processing, Special Issue on Patches in Vision, 2009 |
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Integrating co-occurrence and spatial contexts on patch-based scene segmentation, , , and , in: Beyond Patches Workshop, in conjunction with CVPR, 2006 |
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Integrating co-occurrence and spatial contexts on patch-based scene segmentation, , , and , Idiap-RR-30-2005 |
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Data-driven Urban Building Energy Modeling with Machine Learning in Satom (CH), , and , in: 6th International IEEE Conference AND Workshop in Obuda on Electrical and Power Engineering, 2023 |
Data-driven urban building energy modeling in Satom (CH): The energy savings potential and use of available renewable energy sources., , and , Politecnico di Torino, 2023 |
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Discovering Places of Interest in Everyday Life from Smartphone Data, , and , in: Multimedia Tools and Applications, 2012 |
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Discovering Human Places of Interest from Multimodal Mobile Phone Data, and , in: Proceedings of 9th International Conference on on Mobile and Ubiquitous Multimedia (MUM,',','), Limassol, Cyprus, 2010 |
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The Juicer LVCSR Decoder - User Manual for Juicer version 0.5.0, , Idiap-Com-03-2006 |
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The IDIAP Smart Meeting Room, , Idiap-Com-07-2002 |
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TODE: A Decoder for Continuous Speech Recognition, , Idiap-Com-09-2002 |
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Juicer: A Weighted Finite-State Transducer speech decoder, , , , , and , in: 3rd Joint Workshop on Multimodal Interaction and Related Machine LEarning Algorithms MLMI'06, 2006 |
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Juicer: A Weighted Finite-State Transducer speech decoder, , , , , and , Idiap-RR-21-2006 |
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Microphone Array Speech Recognition : Experiments on Overlapping Speech in Meetings, and , in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003 |
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Microphone Array Speech Recognition : Experiments on Overlapping Speech in Meetings, and , Idiap-RR-41-2002 |
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A Bayesian approach to machine learning model comparison, , Idiap-Com-01-2023 |
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Keystroke Biometrics Ongoing Competition, , , , , , , and , in: IEEE Access, 4:7736-7746, 2016 |
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The use of Boolean concepts in general classification contexts, , Ecole Polytechnique Federale de Lausanne, 2000 |
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The use of Boolean concepts in general classification contexts, , Idiap-RR-46-2000 |
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Neural Networks with Adaptive Learning Rate and Momentum Terms, and , Idiap-RR-04-1995 |
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Image Classification by Neural Networks for the Quality Control of Watches, , and , Idiap-RR-10-1996 |
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Image Classification by Neural Networks for the Quality Control of Watches, , and , in: Proceedings ISAI /IFIS 1996, ITESM, Cancun, Mexico, ITESM, 1996 |
Data binarization by discriminant elimination, , and , Idiap-RR-04-1999 |
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Data binarization by discriminant elimination, , and , in: Proceedings of the ICML-99 Workshop: From Machine Learning to Knowledge Discovery in Databases, 1999 |
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Improved Pairwise Coupling Classification With Correcting Classifiers, and , Idiap-RR-09-1997 |
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Improved Pairwise Coupling Classification With Correcting Classifiers, and , in: Machine Learning: ECML-98, Springer, 1998 |
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