Thibault Févry
Thibault Févry
Unknown affiliation
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Deep neural networks improve radiologists’ performance in breast cancer screening
N Wu, J Phang, J Park, Y Shen, Z Huang, M Zorin, S Jastrzębski, T Févry, ...
IEEE transactions on medical imaging 39 (4), 1184-1194, 2019
1222019
Sentence encoders on stilts: Supplementary training on intermediate labeled-data tasks
J Phang, T Févry, SR Bowman
arXiv preprint arXiv:1811.01088, 2018
1202018
Unsupervised Sentence Compression using Denoising Auto-Encoders
T Fevry, J Phang
CoNLL 2018, 2018
412018
jiant 1.1: A software toolkit for research on general-purpose text understanding models
A Wang, IF Tenney, Y Pruksachatkun, K Yu, J Hula, P Xia, R Pappagari, ...
232019
Entities as experts: Sparse memory access with entity supervision
T Févry, LB Soares, N FitzGerald, E Choi, T Kwiatkowski
EMNLP 2020, 2020
182020
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
T Févry, N FitzGerald, LB Soares, T Kwiatkowski
AKBC 2020, 2020
72020
Learning cross-context entity representations from text
J Ling, N FitzGerald, Z Shan, LB Soares, T Févry, D Weiss, T Kwiatkowski
arXiv preprint arXiv:2001.03765, 2020
72020
Improving localization-based approaches for breast cancer screening exam classification
T Févry, J Phang, N Wu, SG Kim, L Moy, K Cho, KJ Geras
MIDL 2019 Extended Abstract, 2019
32019
Rethinking embedding coupling in pre-trained language models
HW Chung, T Févry, H Tsai, M Johnson, S Ruder
ICLR 2021, 2020
12020
Do Transformer Modifications Transfer Across Implementations and Applications?
S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ...
arXiv preprint arXiv:2102.11972, 2021
2021
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