Rethinking Evaluation in ASR: Are Our Models Robust Enough? von Likhomanenko, Tatiana, Xu, Qiantong, Pratap, Vineel, Tomasello, Paden, Kahn, Jacob, Avidov, Gilad, Collobert, Ronan, Synnaeve, Gabriel

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Flashlight: Enabling Innovation in Tools for Machine Learning von Kahn, Jacob, Pratap, Vineel, Likhomanenko, Tatiana, Xu, Qiantong, Hannun, Awni, Cai, Jeff, Tomasello, Paden, Lee, Ann, Grave, Edouard, Avidov, Gilad, Steiner, Benoit, Liptchinsky, Vitaliy, Synnaeve, Gabriel, Collobert, Ronan

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Scaling Up Online Speech Recognition Using ConvNets von Pratap, Vineel, Xu, Qiantong, Kahn, Jacob, Avidov, Gilad, Likhomanenko, Tatiana, Hannun, Awni, Liptchinsky, Vitaliy, Synnaeve, Gabriel, Collobert, Ronan

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Rethinking Evaluation in ASR: Are Our Models Robust Enough? von Likhomanenko, Tatiana, Xu, Qiantong, Vineel Pratap, Paden Tomasello, Kahn, Jacob, Avidov, Gilad, Collobert, Ronan, Synnaeve, Gabriel

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Flashlight: Enabling Innovation in Tools for Machine Learning von Kahn, Jacob, Vineel Pratap, Likhomanenko, Tatiana, Xu, Qiantong, Hannun, Awni, Cai, Jeff, Paden Tomasello, Lee, Ann, Grave, Edouard, Avidov, Gilad, Steiner, Benoit, Liptchinsky, Vitaliy, Synnaeve, Gabriel, Collobert, Ronan

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Scaling Up Online Speech Recognition Using ConvNets von Vineel Pratap, Xu, Qiantong, Kahn, Jacob, Avidov, Gilad, Likhomanenko, Tatiana, Hannun, Awni, Liptchinsky, Vitaliy, Synnaeve, Gabriel, Collobert, Ronan

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The value of spatial experience and group size for ant colonies in direct competition von Subach, Aziz, Avidov, Bar, Dorfman, Arik, Bega, Darar, Gilad, Tomer, Kvetny, Mark, Reshef, May Hershkovitz, Foitzik, Susanne, Scharf, Inon

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