Jason Phang
Jason Phang
Zweryfikowany adres z nyu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Sentence encoders on stilts: Supplementary training on intermediate labeled-data tasks
J Phang, T Févry, SR Bowman
arXiv preprint arXiv:1811.01088, 2018
1172018
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
1122019
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
A Warstadt, Y Cao, I Grosu, W Peng, H Blix, Y Nie, A Alsop, S Bordia, ...
arXiv preprint arXiv:1909.02597, 2019
422019
Unsupervised sentence compression using denoising auto-encoders
T Fevry, J Phang
arXiv preprint arXiv:1809.02669, 2018
402018
Do attention heads in bert track syntactic dependencies?
PM Htut, J Phang, S Bordia, SR Bowman
arXiv preprint arXiv:1911.12246, 2019
312019
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
Y Pruksachatkun, J Phang, H Liu, PM Htut, X Zhang, RY Pang, C Vania, ...
arXiv preprint arXiv:2005.00628, 2020
272020
jiant 1.2: 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, ...
Note: http://jiant. info/Cited by: footnote 4, 2019
232019
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Y Shen, N Wu, J Phang, J Park, K Liu, S Tyagi, L Heacock, SG Kim, L Moy, ...
Medical image analysis 68, 101908, 2021
92021
English intermediate-task training improves zero-shot cross-lingual transfer too
J Phang, PM Htut, Y Pruksachatkun, H Liu, C Vania, K Kann, I Calixto, ...
arXiv preprint arXiv:2005.13013, 2020
92020
jiant: A software toolkit for research on general-purpose text understanding models
Y Pruksachatkun, P Yeres, H Liu, J Phang, PM Htut, A Wang, I Tenney, ...
arXiv preprint arXiv:2003.02249, 2020
82020
Globally-aware multiple instance classifier for breast cancer screening
Y Shen, N Wu, J Phang, J Park, G Kim, L Moy, K Cho, KJ Geras
International Workshop on Machine Learning in Medical Imaging, 18-26, 2019
82019
The NYU breast cancer screening dataset v1
N Wu, J Phang, J Park, Y Shen, SG Kim, L Heacock, L Moy, K Cho, ...
New York Univ., New York, NY, USA, Tech. Rep, 2019
62019
Improving localization-based approaches for breast cancer screening exam classification
T Févry, J Phang, N Wu, S Kim, L Moy, K Cho, KJ Geras
arXiv preprint arXiv:1908.00615, 2019
32019
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
L Gao, S Biderman, S Black, L Golding, T Hoppe, C Foster, J Phang, H He, ...
arXiv preprint arXiv:2101.00027, 2020
12020
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability
J Phang, J Park, KJ Geras
arXiv preprint arXiv:2010.09750, 2020
12020
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms
N Wu, Z Huang, Y Shen, J Park, J Phang, T Makino, S Kim, K Cho, ...
arXiv preprint arXiv:2009.09282, 2020
2020
Do Attention Heads in BERT Track Syntactic Dependencies?
P Mon Htut, J Phang, S Bordia, SR Bowman
arXiv e-prints, arXiv: 1911.12246, 2019
2019
Screening Mammogram Classification with Prior Exams
J Park, J Phang, Y Shen, N Wu, S Kim, L Moy, K Cho, KJ Geras
arXiv preprint arXiv:1907.13057, 2019
2019
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