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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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Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting, Haolin Chen and Philip N. Garner, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
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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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Beamforming with a Maximum Negentropy Criterion, Kenichi Kumatani, John McDonough, Barbara Rauch, Dietrich Klakow, Philip N. Garner and Weifeng Li, in: IEEE Transactions on Audio Speech and Language Processing, 17(5), 2009
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BEAT: An Open-Science Web Platform, André Anjos, Laurent El Shafey and Sébastien Marcel, in: Thirty-fourth International Conference on Machine Learning, Sydney, Australia, 2017
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Benchmarking Non-Parametric Statistical Tests, Mikaela Keller, Samy Bengio and Siew Yeung Wong, in: Advances in Neural Information Processing Systems, NIPS 18. MIT Press, 2005
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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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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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Bimanual Skill Learning with Pose and Joint Space Constraints, J. Silverio, Sylvain Calinon, L. Rozo and D. G. Caldwell, in: Proc. of the IEEE-RAS Intl Conf. on Humanoid Robots (Humanoids), 2018
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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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