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Project Idiap
Name: Idiap

Publications of project Idiap
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2024
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
A Unified Model for Gaze Following and Social Gaze Prediction, Anshul Gupta, Samy Tafasca, Naravich Chutisilp and Jean-Marc Odobez, in: The 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
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COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, Bogdan Vlasenko, Sargam Vyas and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, 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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D-LGP: Dynamic Logic-Geometric Program for Reactive Task and Motion Planning, Teng Xue, Razmjoo Amirreza and Sylvain Calinon, in: IEEE International Conference on Robotics and Automation, 2024
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Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, Xin Quan, Marco Valentino, Louise A Dennis and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models, Julia Rozanova, Marco Valentino and Andre Freitas, in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024
Extending the Cooperative Dual-Task Space in Conformal Geometric Algebra, Tobias Löw and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Robotics and Automation, 2024
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From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition, Anjith George and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024
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Generalized Policy Iteration using Tensor Approximation for Hybrid Control, Suhan Shetty, Teng Xue and Sylvain Calinon, in: International Conference on Learning Representations (ICLR), 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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Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, Yingji Zhang, Danilo Carvalho, Marco Valentino, Ian Pratt-Hartmann and Andre Freitas, in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration, Ketan Kotwal and Sébastien Marcel, in: IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, IEEE/CVF, 2024
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Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, Marco Valentino, Danilo Carvalho and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees, Sina Sajadmanesh and Daniel Gatica-Perez, in: The 17th ACM International Conference on Web Search and Data Mining, 2024
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Understanding the effects of language-specific class imbalance in multilingual fine-tuning, Vincent Jung and Lonneke van der Plas, in: Findings of the European chapter of Association for Computational Linguistics, 2024, 2024
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Vulnerability of Face Age Verification to Replay Attacks, Pavel Korshunov, Anjith George, Gokhan Ozbulak and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024
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2023
A VAE for Transformers with Nonparametric Variational Information Bottleneck, James Henderson and Fabio Fehr, in: The Eleventh International Conference on Learning Representations, 2023
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Affordance segmentation of hand-occluded containers from exocentric images, Tommaso Apicella, Alessio Xompero, Edoardo Ragusa, Riccardo Berta, Andrea Cavallaro and Paolo Gastaldo, in: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
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Black-box Attacks on Image Activity Prediction and its Natural Language Explanations, Alina Elena Baia, Valentina Poggioni and Andrea Cavallaro, in: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
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BLESS: Benchmarking Large Language Models on Sentence Simplification, Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego and Matthew Shardlow, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 2023
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Can Language Models Learn Analogical Reasoning? Investigating Training Objectives and Comparisons to Human Performance, Molly R. Petersen and Lonneke van der Plas, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Association for Computational Linguistics, 2023
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Characterizing Swiss Alpine Lakes: from Wikipedia to Citizen Science, Yuanhui Lin and Daniel Gatica-Perez, in: ACM Journal on Computing and Sustainable Societies, 2023
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ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour, Samy Tafasca, Anshul Gupta and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
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Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction, Martin Fajcik, Petr Motlicek and Pavel Smrz, in: Association for Computational Linguistics, Findings of the Association for Computational Linguistics: ACL 2023:10184–10205, 2023
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Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation, Teng Xue, Hakan Girgin, Teguh Santoso Lembono and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), pages 4999-5005, 2023
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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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Document-level Text Simplification with Coherence Evaluation, Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla and Sophia Ananiadou, in: Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability, 2023
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EFaR 2023: Efficient Face Recognition Competition, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal and Sébastien Marcel, in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023
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Efficient Grapevine Structure Estimation in Vineyards Conditions, Théophile Gentilhomme, Michael Villamizar, Jérome Corre and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, Paris, pages 712--720, 2023
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Enhancing Multi-modal Classification of Violent Events using Image Captioning, Daniel Vallejo-Aldana, A. Pastor López-Monroy and Esaú VILLATORO-TELLO, in: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), CEUR Workshop Proceedings, Jaén, Spain, 2023
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ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields, Mohammad Mahdi Johari, Camilla Carta and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), pages 17408-17419, 2023
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Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework, David Alonso del Barrio and Daniel Gatica-Perez, in: 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23), June 12, 2023, Thessaloniki, Greece, 2023
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Framing the News: From Human Perception to Large Language Model Inferences, David Alonso del Barrio and Daniel Gatica-Perez, in: International Conference on Multimedia Retrieval (ICMR '23), June 12--15, 2023, Thessaloniki, Greece, 2023
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HyperMixer: An MLP-based Low Cost Alternative to Transformers, Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, Francois Fleuret and James Henderson, in: Proc. of the 61st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Toronto, Canada, pages 15632-15654, 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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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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Learning Joint Space Reference Manifold for Reliable Physical Assistance, Amirreza Razmjoo, Tilen Brecelj, Kristina Savevska, Ales Ude, Tadej Petric and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 10412-10417, 2023
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Learning to Abstract with Nonparametric Variational Information Bottleneck, Melika Behjati, Fabio Fehr and James Henderson, in: The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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Multi-image deconvolution of thermal images with a boundary condition weighting scheme, Florian Piras, François Marelli, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: Target and Background Signatures IX, International Society for Optics and Photonics, Amsterdam, pages 149-158, SPIE, 2023
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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
Novel Methods For Detection And Analysis Of Atypical Aspects In Speech, Julian Fritsch, École Polytechnique Fédérale de Lausanne, 2023
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On Interventional Probing in High Dimensions: An NLI Case Study, Julia Rozanova, Marco Valentino, Lucas Cordeiro and Andre Freitas, in: Findings of the 17th European Chapter of the Association for Computational Linguistics, 2023
On matching data and model in LF-MMI-based dysarthric speech recognition, Enno Hermann, École polytechnique fédérale de Lausanne, 2023
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Programming industrial robots from few demonstrations., Sylvain Calinon, in: Human-Robot Collaboration: Unlocking the potential for industrial applications, pages 9-37, Institution of Engineering and Technology (IET), 2023
Quantified Canine: Inferring Dog Personality From Wearables, Lakmal Buddika Meegahapola, Marios Constantinides, Zoran Radivojevic, Hongwei Li, Daniele Quercia and Michael S. Eggleston, in: Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI) 2023, Association for Computing Machinery, 2023
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Reactive Anticipatory Robot Skills with Memory, Hakan Girgin, Julius Jankowski and Sylvain Calinon, in: Robotic Research, pages 436-451, Springer, 2023
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Referencing in YouTube Knowledge Communication Videos, Haeeun Kim and Daniel Gatica-Perez, in: ACM International Conference on Interactive Media Experiences (IMX '23), June 2023, Nantes, France, 2023
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Robust Execution of Assembly Policies Using a Pose Invariant Task Representation, Bojan Nemec, Matevz Hrovat, Mihael Simonič, Suhan Shetty, Sylvain Calinon and Ales Ude, in: 20th International Conference on Ubiquitous Robots (UR), Honolulu, HI, USA, IEEE, 2023
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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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Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adults, Laura Stegner, Emmanuel Senft and Bilge Mutlu, in: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
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Sparse Autoencoders for Speech Modeling and Recognition, Selen Hande Kabil, École polytechnique fédérale de Lausanne, 2023
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Text Representation Learning for Low Cost Natural Language Understanding, Florian Mai, École polytechnique fédérale de Lausanne, 2023
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The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation, Mutian He and Philip N. Garner, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pages 4408-4423, Association for Computational Linguistics, 2023
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The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias, Anjith George and Sébastien Marcel, in: IEEE International Joint Conference on Biometrics (IJCB 2023), 2023
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Transformers, Tables and Frame Semantics, Mario Ramirez, Alex Bogatu, Norman Paton and Andre Freitas, in: International Conference on Semantic Computing, 2023
Whole-Body Ergodic Exploration with a Manipulator Using Diffusion, Cem Bilaloglu, Tobias Löw and Sylvain Calinon, in: IEEE Robotics and Automation Letters, 8(12):8581-8587, 2023
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2022
A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings, Anshul Gupta, Samy Tafasca and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
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Active Learning by Feature Mixing, Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel and Javen Qinfeng Shi, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
An anomaly detection approach for backdoored neural networks: face recognition as a case study, Alexander Unnervik and Sébastien Marcel, in: 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022), Darmstadt, Germany, 2022
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An Empirical Comparison of Semantic Similarity Methods for Analyzing down-streaming Automatic Minuting task, Aditya Upadhyay, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh and Petr Motlicek, in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36), In ACL Anthology Proceedings, 2022
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An End-to-End Multilingual System for Automatic Minuting of Multi-Party Dialogues, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh and Petr Motlicek, in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36) , In proceedings of ACL Anthology, 2022
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Are GAN-based Morphs Threatening Face Recognition?, Eklavya Sarkar, Pavel Korshunov, Laurent Colbois and Sébastien Marcel, in: International Conference on Acoustics, Speech and Signal Processing, 2022
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Autoencoders Reloaded, Hervé Bourlard and Selen Hande Kabil, in: Springer Biological Cybernetics, 2022
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Automatic Minuting: A Pipeline Method for Generating Minutes, Kartik Shinde, Tirthankar Ghosal, Muskaan Singh and Ondrej Bojar, in: Pacific Asia Conference on Language, Information and Computation (PACLIC 36), In proceedings of ACL Anthology, 2022
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Automatic pathological speech assessment, Parvaneh Janbakhshi, École polytechnique fédérale de Lausanne, 2022
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Automatic Summarization for Creative Writing: Denoising Auto-Encoder based Pipeline Method for Generating Summary of Movie Scripts, Aditya Upadhyay, Nidhir Bhavsar, Aakash Bhatnagar, Muskaan Singh and Petr Motlicek, in: Automatic Summarization for Creative Writing, International Conference on Computational Linguistics (COLING 2022), 2022
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Bayesian Recurrent Units and the Forward Backward Algorithm, Alexandre Bittar and Philip N. Garner, in: Proc. Interspeech 2022, pages 4137-4141, 2022
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Bio-Medical Multi-label Scientific Literature Classification using LWAN and Dual-attention module, Deepanshu Khanna, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh and Petr Motlicek, in: PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION (PACLIC 2022), In Proceedings of ACL Anthology, 2022
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Case-Based Abductive Natural Language Inference, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022
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Classifying the Social Media Author Profile Through a Multimodal Representation, Miguel Á. Álvarez-Carmona, Esaú VILLATORO-TELLO, Luis Villaseñor Pineda and Manuel Montes-y-Gómez, in: Intelligent Technologies: Concepts, Applications, and Future Directions. Studies in Computational Intelligence, Springer, 2022
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Conversational Speech Recognition Needs Data? Experiments with Austrian German, Julian Linke, Philip N. Garner, Gernot Kubin and Barbara Schuppler, in: Proceedings of the 13th Language Resources and Evaluation Conference, European Language Resources Association, pages 4684--4691, 2022
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Decomposing Natural Logic Inferences for Neural NLI, Julia Rozanova, Deborah Mendes, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: BlackBoxNLP: Workshop on analyzing and interpreting neural networks for NLP, 2022
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
drozBot: Using Ergodic Control to Draw Portraits, Tobias Löw, Jérémy Maceiras and Sylvain Calinon, in: IEEE Robotics and Automation Letters:7, 2022
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Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings, Esaú VILLATORO-TELLO, Srikanth Madikeri, Petr Motlicek, Aravind Ganapathiraju and Alexei V. Ivanov, in: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2022
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Fairness Index Measures to Evaluate Bias in Biometric Recognition, Ketan Kotwal and Sébastien Marcel, in: International Conference on Pattern Recognition Workshops, 2022
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GeoNeRF: Generalizing NeRF with Geometry Priors, Mohammad Mahdi Johari, Yann Lepoittevin and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Graph Refinement for Coreference Resolution, Lesly Miculicich and James Henderson, in: Findings of Association for >Computational Linguistics: ACL 2022, 2022
Health Talk: Understanding Practices of Popular Professional YouTubers, Thanh-Trung Phan, Chloé Michoud, Lucia Volpato, María del Río Carral and Daniel Gatica-Perez, in: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia, 2022
HMIST: Hierarchical Multilingual Isometric Speech Translation using Multi-Task Learning Framework for Automatic Dubbing, Nidhir Bhavsar, Aakash Bhatnagar, Muskaan Singh and Petr Motlicek, in: PACIFIC ASIA CONFERENCE ON LANGUAGE, INFORMATION AND COMPUTATION (PACLIC 2022), In Proceedings of ACL Anthology, 2022
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How Did Europe’s Press Cover Covid-19 Vaccination News? A Five-Country Analysis, David Alonso del Barrio and Daniel Gatica-Perez, in: MAD '22: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, 2022
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IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach, Sergio Burdisso, Zuluaga-Gomez. Juan, Esaú VILLATORO-TELLO, Martin Fajcik, Muskaan Singh, Pavel Smrz and Petr Motlicek, in: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022), 2022
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IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model, Martin Fajcik, Muskaan Singh, Zuluaga-Gomez. Juan, Esaú VILLATORO-TELLO, Sergio Burdisso, Petr Motlicek and Pavel Smrz, in: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022), 2022
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Imitation of Manipulation Skills Using Multiple Geometries, Boyang Ti, Yongsheng Gao, Jie Zhao and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2022
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Local estimation of parametric point spread functions in thermal images via convolutional neural networks, Florian Piras, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: SPIE sensors + imaging, Target and Background Signatures VIII, Berlin, Germany, pages 1227009 1--8, SPIE, 2022
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Memory of Motion for Initializing Optimization in Robotics, Teguh Santoso Lembono, École Polytechnique Fédérale de Lausanne, 2022
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Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers, Luis Espinosa Anke, Alexander Shvets, Alireza Mohammadshahi, James Henderson and Leo Wanner, in: Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, Seattle, USA, pages 89–100, 2022
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Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers, Seema Wazarkar, muskan garg, Muskaan Singh and Ondrej Bojar, in: International Conference on Language Resources and Evaluation (LREC 2022), 2022
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On the detection of morphing attacks generated by GANs, Laurent Colbois and Sébastien Marcel, in: 21st International Conference of the Biometrics Special Interest Group (BIOSIG 2022), 2022
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Passive Bimanual Skills Learning from Demonstration with Motion Graph Attention Networks, Z. Dong, Z. Li, Y. Yan, Sylvain Calinon and F. Chen, in: IEEE Robotics and Automation Letters (RA-L), 7(2):4917-4923, 2022
Reactive Anticipatory Robot Skills with Memory, Hakan Girgin, Julius Jankowski and Sylvain Calinon, in: The International Symposium on Robotics Research, 2022
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Robust Unsupervised Gaze Calibration using Conversation and Manipulation Attention Priors, Remy Siegfried and Jean-Marc Odobez, in: ACM Transactions on Multimedia Computing, Communications, and Applications, 18(1):26, 2022
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Shallow Discourse Parsing for Open Information Extraction and Text Simplification, Christina Niklaus, Andre Freitas and Siegfried Handschuh, in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022
Social Robot Co-Design Canvases: A Participatory Design Framework, Minja Axelsson, Raquel Oliveira, Mattia Racca and V. Kyrki, in: ACM Transactions on Human-Robot Interaction, 11(1), 2022
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Symmetry-induced Disentanglement on Graphs, Giangiacomo Mercatali, Vikas Garg and Andre Freitas, in: Advances in Neural Information Processing Systems 35, 2022
TextGraphs 2022 Shared Task on Natural Language Premise Selection, Marco Valentino, Deborah Mendes, Mokanarangan Thayaparan, Andre Freitas and Dmitry Ustalov, in: Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022
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Towards Accessible Sign Language Learning and Assessment, Neha Tarigopula, Sandrine Tornay, Skanda Muralidhar and Mathew Magimai.-Doss, in: ACM International Conference on Multimodal Interaction, Bangalore, INDIA, pages 626-631, 2022
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Two Simple and Domain-independent Approaches for Early Detection of Anorexia, Sergio Burdisso, Leticia Cagnina, Marcelo Errecalde and Manuel Montes-y-Gómez, in: Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project, pages 159-182, Springer International Publishing, 2022
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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
Vision-Language Pretraining: Current Trends and the Future, Aishwarya Agrawal, Damien Teney and Aida Nematzadeh, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2022
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Visually Grounded Interpretation of Noun-Noun Compounds in English, Inga Lang, Lonneke van der Plas, Malvina Nissim and Albert Gatt, in: Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, Association for Computational Linguistics, 2022
Voyager: Data Discovery for Onboarding in Data Science, Alex Bogatu, Norman Paton, Mark Douthwaite and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2022
Why Scholars Are Diagramming Neural Network Models, Guy Marshall, Caroline Jay and Andre Freitas, in: 13th International Conference on the Theory and Application of Diagrams, 2022
2021
A Bayesian Approach to Recurrence in Neural Networks, Philip N. Garner and Sibo Tong, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(8):2527--2537, 2021
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A Bayesian Interpretation of the Light Gated Recurrent Unit, Alexandre Bittar and Philip N. Garner, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
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A COMPARISON OF METHODS FOR OOV-WORD RECOGNITION ON A NEW PUBLIC DATASET, Rudolf Braun, Srikanth Madikeri and Petr Motlicek, in: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, Toronto, Ontario, Canada, 2021
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A Differential Approach for Gaze Estimation, Gang Liu, Yu Yu and Jean-Marc Odobez, in: IEEE Transaction on Pattern Analysis and Machine Intelligence, 43(3):1092--1098, 2021
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A Laser-based Dual-arm System for Precise Control of Collaborative Robots, J. Silverio, G. Clivaz and Sylvain Calinon, in: IEEE International Conference on Robotics and Automation, 2021
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An Attention Mechanism for Deep Q-Networks with Applications in Robotic Pushing, Marco Ewerton, Sylvain Calinon and Jean-Marc Odobez, in: Proc. of Workshop on Emerging paradigms for robotic manipulation: from the lab to the productive world, ICRA, 2021
AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: 45th International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, pages 7328–7332, 2021
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Challenges for Using Impact Regularizers to Avoid Negative Side Effects, David Lindner, Kyle Matoba and Alexander Meulemans, in: SafeAI 2021 - AAAI's Workshop on Artificial Intelligence Safety, 2021
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Cost–effective Variational Active Entity Resolution, Alex Bogatu, Norman Paton, Mark Douthwaite, Stuart Davie and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2021
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Cross Modal Focal Loss for RGBD Face Anti-Spoofing, Anjith George and Sébastien Marcel, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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Deep Learning Approaches for Auditory Perception in Robotics, Weipeng He, École polytechnique fédérale de Lausanne, 2021
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DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation, Mohammad Mahdi Johari, Camilla Carta and Francois Fleuret, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 6039-6048, 2021
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Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders, Giangiacomo Mercatali and Andre Freitas, in: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Does My Representation Capture X? Probe-Ably, Deborah Mendes, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (Demonstration track), 2021
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Encoding Explanatory Knowledge for Zero-shot Science Question Answering, Zili Zhou, Marco Valentino, Donal Landers and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
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Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing, Lakmal Buddika Meegahapola, Florian Labhart, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 5(3):26, 2021
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Explainable Inference Over Grounding-Abstract Chains for Science Questions, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2021
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Explainable Natural Language Reasoning via Conceptual Unification, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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Fairness in Biometrics: a figure of merit to assess biometric verification systems, Tiago de Freitas Pereira and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
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Fusion of Acoustic and Linguistic Information Using Supervised Autoencoder for Improved Emotion Recognition, Bogdan Vlasenko, RaviShankar Prasad and Mathew Magimai.-Doss, in: 2nd Multimodal Sentiment Analysis Challenge (MuSe '21), October 24, 2021, Virtual Event, China, 2021
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[DOI]
Gradient-based Methods for Deep Model Interpretability, Suraj Srinivas, École polytechnique fédérale de Lausanne, 2021
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[DOI]
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models, Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney and Stephen Gould, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
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Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning, Christos Theodoropoulos, James Henderson, Andrei Catalin Coman and Marie-Francine Moens, in: Proceedings of the 25th Conference on Computational Natural Language Learning, Online, pages 337-348, Association for Computational Linguistics, 2021
Improving Generalization of Deepfake Detection with Data Farming and Few-Shot Learning, Pavel Korshunov and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
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LATTICE-FREE MMI ADAPTATION OF SELF-SUPERVISED PRETRAINED ACOUSTIC MODELS, Apoorv Vyas, Srikanth Madikeri and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
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Learning Optimal Impedance Control During Complex 3D Arm Movements, A. Naceri, T. Schumacher, Q. Li, Sylvain Calinon and H. Ritter, in: IEEE Robotics and Automation Letters (RA-L), 6(2):1248-1255, 2021
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Learning to Translate Low-Resourced Swiss German Dialectal Speech into Standard German Text, Abbas Khosravani, Philip N. Garner and Alexandros Lazaridis, in: IEEE Automatic Speech Recognition and Understanding Workshop, Colombia, Cartagena, IEEE, 2021
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Motion Mappings for Continuous Bilateral Teleoperation, Xiao Gao, J. Silverio, E. Pignat, Sylvain Calinon, Miao Li and Xiaohui Xiao, in: IEEE Robotics and Automation Letters, 6(3):5048-5055, 2021
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Multi-Adversarial Learning for Cross-Lingual Word Embeddings, Haozhou Wang, James Henderson and Paola Merlo, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, pages 463-472, 2021
Multi-channel Face Presentation Attack Detection Using Deep Learning, Anjith George and Sébastien Marcel, in: Deep Learning-Based Face Analytics, Springer International Publishing, 2021
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Multimodal Neural Machine Translation System for English to Bengali, Shantipriya Parida, Subhadarshi Panda, Satya Prakash Biswal, Ketan Kotwal, Arghyadeep Sen, Satya Ranjan Dash and Petr Motlicek, in: Proceedings of the First Workshop on Multimodal Machine Translation for Low Resource Languages (MMTLRL 2021), Online (Virtual Mode), pages 31--39, INCOMA Ltd., 2021
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Neural Network Adaptation and Data Augmentation for Multi-Speaker Direction-of-Arrival Estimation, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:1303-1317, 2021
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NLPHut's Participation at WAT2021, Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlicek and Ondrej Bojar, in: Proceedings of the 8th Workshop on Asian Translation (WAT2021), pages 146--154, Association for Computational Linguistics, 2021
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On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing, Anjith George and Sébastien Marcel, in: International Joint Conference on Biometrics (IJCB 2021), 2021
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On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning, Marc Tanti, Lonneke van der Plas, Claudia Borg and Albert Gatt, in: Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution), Shantipriya Parida, Subhadarshi Panda, Amulya Ratna Dash, Esaú VILLATORO-TELLO, A. Seza Dogruöz, Rosa M. Ortega-Mendoza, Amadeo Hernández, Yashvardhan Sharma and Petr Motlicek, in: Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas, pages 218–223, Association for Computational Linguistics, 2021
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Open-Set Speaker Identification pipeline in live criminal investigations, Mael Fabien and Petr Motlicek, in: 1st ISCA Symposium on Security and Privacy in Speech Communication, 2021
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Optics Versus Computation: Influence of Illumination and Reconstruction Model Accuracy in Focal-Plane-Scanning Optical Projection Tomography, François Marelli and Michael Liebling, in: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, pages 567-570, IEEE, 2021
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Perspectives and limitations of visible-thermal image pair synthesis via generative adversarial networks, Danick Panchard, François Marelli, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: Security + Defence, Target and Background Signatures VII, Proc. of SPIE, online only, pages 1186509-1--1186509-8, SPIE, 2021
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Phoneme based Respiratory Analysis of Read Speech, Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik and Mathew Magimai.-Doss, in: Proceedings of European Signal Processing Conference (EUSIPCO), 2021
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Probabilistic Iterative LQR for Short Time Horizon MPC, Teguh Santoso Lembono and Sylvain Calinon, in: International Conference on Intelligent Robots and Systems, pages 579-585, 2021
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Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety, Hartmut Helmke, Matthias Kleinert, Shruthi Shetty, Oliver Ohneiser, heiko Ehr, Hörður Arilíusson, Teodor S. Simiganoschi, Amrutha Prasad, Petr Motlicek, Karel Vesely, Karel Ondřej, Pavel Smrz, Julia Harfmann and Christian Windisch, in: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), The United States Federal Aviation Administration (FAA), EUROCONTROL, pages 10, 2021
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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021
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ROXSD: a Simulated Dataset of Communication in Organized Crime, Hoang H. Nguyen, Mael Fabien, Petr Motlicek, Shantipriya Parida and Kvetoslav Maly, in: 1st ISCA Symposium on Security and Privacy in Speech Communication, 2021
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Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework, Amlan Mohanty, Debasish Kumar Mallick, Shantipriya Parida and Satya Ranjan Dash, in: Machine Learning for Healthcare Applications, John Wiley & Sons, Inc. USA and Scrivener Publishing LLC, USA, 2021
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Sequential Robot Imitation Learning from Observations, A. K. Tanwani, A. Yan, J. Lee, Sylvain Calinon and K. Goldberg, in: International Journal of Robotics Research (IJRR), 2021
STAR: Cross-modal Statement Representation for Selecting Relevant Mathematical Premises, Deborah Mendes and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Subjective and objective evaluation of deepfake videos, Pavel Korshunov and Sébastien Marcel, in: The international Conference on Acoustics, Speech, and Signal Processing, 2021
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Switching Contexts: Transportability Measures for NLP, Guy Marshall, Mokanarangan Thayaparan, Philip Osborne and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
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The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task, James Barry, Alireza Mohammadshahi, Joachim Wagner, Jennifer Foster and James Henderson, in: Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies, Online, pages 204-212, Association for Computational Linguistics, 2021
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Unification-based Reconstruction of Multi-hop Explanations for Science Questions, Marco Valentino, Mokanarangan Thayaparan and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics, 2021
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Unshuffling data for improved generalization in visual question answering, Damien Teney, Ehsan Abbasnejad and Anton van den Hengel, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
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Visual Focus of Attention Estimation in 3D Scene with an Arbitrary Number of Targets, Remy Siegfried and Jean-Marc Odobez, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 9, IEEE, 2021
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What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP, Oskar Wysocki, Malina Florea, Donal Landers and Andre Freitas, in: EMNLP, 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021
Zurich Like New: Analyzing Open Urban Multimodal Data, Marcel Granero-Moya, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, 2021
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2020
A memory of motion for visual predictive control tasks, Antonio Paolillo, Teguh Santoso Lembono and Sylvain Calinon, in: International Conference on Robotics and Automation, 2020
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A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language, Sandrine Tornay, Necati Cihan Camgoz, Richard Bowden and Mathew Magimai.-Doss, in: Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion), 2020
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Active Improvement of Control Policies with Bayesian Gaussian Mixture Model, Hakan Girgin, E. Pignat, N. Jaquier and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, 2020
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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An HMM Approach with Inherent Model Selection for Sign Language and Gesture Recognition, Sandrine Tornay, Oya Aran and Mathew Magimai.-Doss, in: Proceedings of the International Conference on Language Resources and Evaluation LREC 2020, 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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Automatic pathological speech intelligibility assessment exploiting subspace-based analyses, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1717 - 1728, 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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CNN Patch Pooling for Detecting 3D Mask Presentation Attacks in NIR, Ketan Kotwal and Sébastien Marcel, in: IEEE International Conference on Image Processing, 2020
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Compositionality in English deverbal compounds:The role of the head, Gianina Iordachioaia, Lonneke van der Plas and Glorianna Jagfeld, in: The role of constituents in multiword expressions. Phraseology and Multiword Expressions, Language Science Press, Berlin, 2020
Detection of disguised speech in forensic science by humans and automatic systems, Michela Pettinato, Université de Lausanne Ecole des Sciences Criminelles, 2020
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Detection of S1 and S2 locations in phonocardiogram signals using zero frequency filter, RaviShankar Prasad, Gürkan Yilmaz, Olivier Chetelat and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 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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Discourse Phenomena in Machine Translation, Lesly Miculicich, École polytechnique fédérale de Lausanne, 2020
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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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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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Fast Transformers with Clustered Attention, Apoorv Vyas, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of the International Conference on Neural Information Processing Systems, 2020
Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control, Sylvain Calinon, in: IEEE Robotics and Automation Magazine (RAM), 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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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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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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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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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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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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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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Neural Network based End-to-End Query by Example Spoken Term Detection, Dhananjay Ram, Lesly Miculicich and Hervé Bourlard, in: IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2020
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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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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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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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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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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics(under submission), 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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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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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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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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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
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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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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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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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, rabeeh karimi mahabadi, Junhong lin and Volkan Cevher, in: A Learning-Based Framework for Quantized Compressed Sensing, 2019
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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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Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers, Matthias Kleinert, Hartmut Helmke, Gerald Siol, heiko Ehr, Dietrich Klakow, Mittul Singh, Petr Motlicek, Kern Christian, Cerna Aneta and Hlousek Petr, in: Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, San Diego, California, USA, pages 820 - 826, 2019
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Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, United Kingdom, pages 770-774, 2019
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Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task, Alireza Mohammadshahi, Karl Aberer and Rémi Lebret, 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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AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, Petr Motlicek, Hynek Hermansky, Srikanth Madikeri, Amrutha Prasad and Sriram Ganapathy, in: 11th International workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Universita Degli Studi Firenze, Firenze, Italy, 2019
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An End-to-end Network to Synthesize Intonation Using a Generalized Command Response Model, François Marelli, Bastian Schnell, Hervé Bourlard, T. Dutoit and Philip N. Garner, in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, pages 7040-7044, IEEE, 2019
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An Introduction to Vein Presentation Attacks and Detection, André Anjos, Pedro Tome and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing, Springer International Publishing, 2019
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Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models, Julian Fritsch, Sebastian Wankerl and Elmar Nöth, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Bayesian Gaussian mixture model for robotic policy imitation, Emmanuel Pignat and Sylvain Calinon, in: IEEE Robotics and Automation Letters, 4(4):4452 - 4458, 2019
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BookTubing Across Regions: Examining Differences based on Nonverbal and Verbal Cues, Chinchu Thomas, Dinesh Jayagopi and Daniel Gatica-Perez, in: Proc. ACM Int. Conf. on Interactive Experiences for Television and Online Video (TVX), Salford, ENGLAND, 2019
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CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model, Florian Mai, Lukas Galke and Ansgar Scherp, in: International Conference on Learning Representations, New Orleans, Louisiana, USA, 2019
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CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning, José Vázquez-Canteli, Jérôme Kämpf, Gregor Henze and Zoltán Nagy, in: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, New-York, USA, pages 356-357, ACM, 2019
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Deep Residual Output Layers for Neural Language Generation, Nikolaos Pappas and James Henderson, in: Proceedings of the 36th International Conference on Machine Learning (ICML), 2019
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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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EMPIRICAL EVALUATION AND COMBINATION OF PUNCTUATION PREDICTION MODELS APPLIED TO BROADCAST NEWS, Alexandre Nanchen and Philip N. Garner, in: Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019
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End-to-End Accented Speech Recognition, Thibault Viglino, Petr Motlicek and Milos Cernak, in: International Conference on Speech and Language Processing, Interspeech, ISCA, Graz, Austria, pages 2140-2144, 2019
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Full-Gradient Representation for Neural Network Visualization, Suraj Srinivas and Francois Fleuret, in: Advances in Neural Information Processing Systems, 2019
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Generalized temporal sampling with active illumination in optical microscopy, Christian Jaques and Michael Liebling, in: Proceeding of the SPIE Conference Optics and Photonics, Wavelets and Sparsity XVIII, SPIE, San Diego, California, United States, SPIE, 2019
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GILE: A Generalized Input-Label Embedding for Text Classification, Nikolaos Pappas and James Henderson, in: Transactions of the Association for Computational Linguistics (TACL), 2019
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Heterogeneous Face Recognition Using Domain Specific Units, Tiago de Freitas Pereira, André Anjos and Sébastien Marcel, in: IEEE Transactions on Information Forensics and Security:13, 2019
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Idiap Abstract Text Summarization System for German Text Summarization Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 4th edition of the Swiss Text Analytics Conference, 2019
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Idiap NMT System for WAT 2019 Multimodal Translation Task, Shantipriya Parida and Petr Motlicek, in: Proceedings of the 6th Workshop on Asian Translation, Hong Kong, China, pages 175–180, Association for Computational Linguistics, 2019
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Implicit discourse relation classification with syntax-aware contextualized word representations, D. N. Popa, J. Perez, James Henderson and E. Gaussier, in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, 2019
Improving Children Speech Recognition through Feature Learning from Raw Speech Signal, S. Pavankumar Dubagunta, Selen Hande Kabil and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Improving dual-arm assembly by master-slave compliance, M. Suomalainen, Sylvain Calinon, E. Pignat and V. Kyrki, in: Proc. IEEE Intl Conf. on Robotics and Automation, pages 8676-8682, 2019
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Improving speech embedding using crossmodal transfer learning with audio-visual data, Nam Le and Jean-Marc Odobez, in: Multimedia Tools and Applications, 78(11):15681-15704, 2019
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Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures, D. Berio, F. F. Leymarie and Sylvain Calinon, in: Mixture Models and Applications, pages 23-38, Springer, 2019
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Joint estimation of RETF vector and power spectral densities for speech enhancement based on alternating least squares, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: IEEE International Conference on Acoustics, Speech and Signal Processing, pages 795--799, 2019
Language Independent Query by Example Spoken Term Detection, Dhananjay Ram, École Polytechnique Fédérale de Lausanne, 2019
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Learning an event sequence embedding for event-based deep stereo, Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler and Michael Hirsch, in: Proceedings of the IEEE International Conference on Computer Vision, 2019
Learning Control, Sylvain Calinon and D. Lee, in: Humanoid Robotics: a Reference, pages 1261-1312, Springer, 2019
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Learning from Demonstration (Programming by Demonstration), Sylvain Calinon, in: Encyclopedia of Robotics, Springer, 2019
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Learning Task Priorities from Demonstrations, J. Silverio, Sylvain Calinon, L. Rozo and D. G. Caldwell, in: IEEE Transactions on Robotics, 35(1):78-94, 2019
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Learning voice source related information for depression detection, S. Pavankumar Dubagunta, Bogdan Vlasenko and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series, Sylvain Calinon, in: Mixture Models and Applications, pages 39-57, Springer, 2019
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Multi-Spectral Widefield Microscopy of the Beating Heart through Post-Acquisition Synchronization and Unmixing, Christian Jaques, Linda Bapst-Wicht, Daniel F. Schorderet and Michael Liebling, in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, pages 1382-1385, 2019
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