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A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation


Jan 07, 2022
Irene Li, Thomas George, Alexander Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev


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CLICKER: A Computational LInguistics Classification Scheme for Educational Resources


Dec 16, 2021
Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir Radev

* 7 pages, 5 figures, 4 tables 

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Continual Learning in Deep Networks: an Analysis of the Last Layer


Jun 03, 2021
Timothée Lesort, Thomas George, Irina Rish


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Implicit Regularization in Deep Learning: A View from Function Space


Aug 03, 2020
Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien

* 24 pages. A preliminary version of this work has been presented at the NeurIPS 2019 Workshops on "Machine Learning with Guarantees" and "Science meets Engineering of Deep Learning" 

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Revisiting Loss Modelling for Unstructured Pruning


Jun 22, 2020
César Laurent, Camille Ballas, Thomas George, Nicolas Ballas, Pascal Vincent


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Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis


Jun 11, 2018
Thomas George, César Laurent, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent


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