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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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Joint Speaker Verification and Anti-Spoofing in the i-Vector Space, Aleksandr Sizov, Elie Khoury, Tomi Kinnunen, Zhizheng Wu and Sébastien Marcel, in: IEEE Transactions on Information Forensics and Security, 10(4):821-832, 2015
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Order Matters: A Distributed Sampling Method for Multi-Object Tracking, Kevin C. Smith, in: British Machine Vision Conference (BMVC), 2004
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Tracking the Multi Person Wandering Visual Focus of Attention, Kevin C. Smith, Silèye O. Ba, Daniel Gatica-Perez and Jean-Marc Odobez, in: International Conference on Multimodal Interfaces (ICMI06), 2006
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Detecting Abandoned Luggage Items in a Public Space, Kevin C. Smith, Pedro Quelhas and Daniel Gatica-Perez, in: IEEE Performance Evaluation of Tracking and Surveillance Workshop (PETS), 2006
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Multi-Person Tracking in Meetings: A Comparative Study, Kevin C. Smith, Sascha Schreiber, Vítezslav Beran, Igor Potúcek, Gerhard Rigoll and Daniel Gatica-Perez, in: Multimodal Interaction and Related Machine Learning Algorithms (MLMI), 2006
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Posterior Features for Template-based ASR, Serena Soldo, Mathew Magimai.-Doss, Joel Praveen Pinto and Hervé Bourlard, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, 2011
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Gradient-based Methods for Deep Model Interpretability, Suraj Srinivas, École polytechnique fédérale de Lausanne, 2021
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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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Knowledge Transfer with Jacobian Matching, Suraj Srinivas and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning, 2018
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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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Speech Recognition with Auxiliary Information, Todd Andrew Stephenson, École Polytechnique Fédérale de Lausanne, Computer Science Department, 2003
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Automatic Speech Recognition using Dynamic Bayesian Networks with both Acoustic and Articulatory Variables, Todd Andrew Stephenson, Hervé Bourlard, Samy Bengio and Andrew Morris, in: 6th International Conference on Spoken Language Processing: ICSLP~2000 (Interspeech~2000), 2000
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Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, Todd Andrew Stephenson, Jaume Escofet, Mathew Magimai.-Doss and Hervé Bourlard, in: 2002 IEEE International Workshop on Neural Networks for for Signal Processing (NNSP~2002), 2002
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Speech recognition with auxiliary information, Todd Andrew Stephenson, Mathew Magimai.-Doss and Hervé Bourlard, in: IEEE Trans. on Speech and Audio Processing, 4, 2004
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