| Sentence encoders on stilts: Supplementary training on intermediate labeled-data tasks J Phang, T Févry, SR Bowman arXiv preprint arXiv:1811.01088, 2018 | 114 | 2018 |
| 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 | 94 | 2019 |
| Unsupervised Sentence Compression using Denoising Auto-Encoders T Fevry, J Phang CoNLL 2018, 2018 | 37 | 2018 |
| 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, ... | 23 | 2019 |
| Entities as experts: Sparse memory access with entity supervision T Févry, LB Soares, N FitzGerald, E Choi, T Kwiatkowski EMNLP 2020, 2020 | 14 | 2020 |
| Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking T Févry, N FitzGerald, LB Soares, T Kwiatkowski AKBC 2020, 2020 | 6 | 2020 |
| 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 | 4 | 2020 |
| 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 | 2 | 2019 |
| Rethinking embedding coupling in pre-trained language models HW Chung, T Févry, H Tsai, M Johnson, S Ruder ICLR 2021, 2020 | | 2020 |
Jason PhangNew York UniversityVerified email at nyu.edu
