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Flashlight: Enabling Innovation in Tools for Machine Learning


Jan 29, 2022
Jacob Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert


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Star Temporal Classification: Sequence Classification with Partially Labeled Data


Jan 28, 2022
Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert


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Parallel Composition of Weighted Finite-State Transducers


Oct 06, 2021
Shubho Sengupta, Vineel Pratap, Awni Hannun


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CrypTen: Secure Multi-Party Computation Meets Machine Learning


Sep 02, 2021
Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten


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The History of Speech Recognition to the Year 2030


Jul 30, 2021
Awni Hannun


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The Role of Evolution in Machine Intelligence


Jun 21, 2021
Awni Hannun


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Gradient Matching for Domain Generalization


Apr 20, 2021
Yuge Shi, Jeffrey Seely, Philip H. S. Torr, N. Siddharth, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve


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Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems


Mar 22, 2021
Ruihan Wu, Chuan Guo, Awni Hannun, Laurens van der Maaten


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Measuring Data Leakage in Machine-Learning Models with Fisher Information


Feb 23, 2021
Awni Hannun, Chuan Guo, Laurens van der Maaten


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Data Appraisal Without Data Sharing


Dec 11, 2020
Mimee Xu, Laurens van der Maaten, Awni Hannun

* Presented at NeurIPS Workshop for Privacy-Preserving Machine Learning Workshop (PPML 2020) 

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