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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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Processing Megapixel Images with Deep Attention-Sampling Models, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of International Conference on Machine Learning, 2019
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Not All Samples Are Created Equal: Deep Learning with Importance Sampling, Angelos Katharopoulos and Francois Fleuret, in: Proceedings of International Conference on Machine Learning, 2018
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Haptic Feedback Compared with Visual Feedback for BCI, L. Kauhanen, T. Palomäki, P. Jylänki, F. Aloise, Marnix Nuttin and José del R. Millán, in: Proceedings of the 3rd International Brain-Computer Interface Workshop & Training Course 2006, 2006
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A Neural Network for Text Representation, Mikaela Keller and Samy Bengio, in: International Conference on Artificial Neural Networks, ICANN, 2005
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Theme Topic Mixture Model: A Graphical Model for Document Representation, Mikaela Keller and Samy Bengio, in: Pascal Workshop on Text Mining and Understanding, 2004
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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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Towards introducing long-term statistics in MUSE for robust speech recognition, Christopher Kermorvant and Chafic Mokbel, in: Automatic Speech Recognition and Understanding (ASRU) workshop, 1999
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A comparison of two strategies for ASR in additive noise : Missing Data and Spectral Subtraction, Christopher Kermorvant and Andrew Morris, in: 6th European Conference on Speech Communication and Technology --- Eurospeech'99, 1999
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A Kernel Wrapper for Phoneme Sequence Recognition, Joseph Keshet and Dan Chazan, in: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, John Wiley and Sons, 2009
Discriminative Keyword Spotting, Joseph Keshet, David Grangier and Samy Bengio, in: Speech Communication, 51(4), 2009
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