| A deep learning mammography-based model for improved breast cancer risk prediction A Yala, C Lehman, T Schuster, T Portnoi, R Barzilay Radiology 292 (1), 60-66, 2019 | 521 | 2019 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR 2023, 2022 | 448 | 2022 |
| Mammographic breast density assessment using deep learning: clinical implementation CD Lehman, A Yala, T Schuster, B Dontchos, M Bahl, K Swanson, ... Radiology 290 (1), 52-58, 2019 | 220 | 2019 |
| Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing T Schuster, O Ram, R Barzilay, A Globerson NAACL 2019, 2019 | 198 | 2019 |
| Towards debiasing fact verification models T Schuster, DJ Shah, YJS Yeo, D Filizzola, E Santus, R Barzilay EMNLP 2019, 2019 | 173 | 2019 |
| Ul2: Unifying language learning paradigms Y Tay, M Dehghani, VQ Tran, X Garcia, J Wei, X Wang, HW Chung, ... ICLR 2023, 2022 | 165* | 2022 |
| A deep learning model to triage screening mammograms: a simulation study A Yala, T Schuster, R Miles, R Barzilay, C Lehman Radiology 293 (1), 38-46, 2019 | 157 | 2019 |
| ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... ICLR 2022, 2021 | 130 | 2021 |
| Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence T Schuster, A Fisch, R Barzilay NAACL 2021, 2021 | 113 | 2021 |
| Transformer memory as a differentiable search index Y Tay, VQ Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... NeurIPS 2022, 2022 | 105 | 2022 |
| The limitations of stylometry for detecting machine-generated fake news T Schuster, R Schuster, DJ Shah, R Barzilay Computational Linguistics 46 (2), 499-510, 2020 | 100 | 2020 |
| Confident Adaptive Language Modeling T Schuster, A Fisch, J Gupta, M Dehghani, D Bahri, VQ Tran, Y Tay, ... Neurips 2022, 2022 | 56 | 2022 |
| Conformal risk control AN Angelopoulos, S Bates, A Fisch, L Lei, T Schuster arXiv preprint arXiv:2208.02814, 2022 | 42 | 2022 |
| Automatic Fact-guided Sentence Modification DJ Shah, T Schuster, R Barzilay AAAI 2020, 2019 | 38 | 2019 |
| Attributed question answering: Evaluation and modeling for attributed large language models B Bohnet, VQ Tran, P Verga, R Aharoni, D Andor, LB Soares, J Eisenstein, ... arXiv preprint arXiv:2212.08037, 2022 | 36 | 2022 |
| Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R Schuster, T Schuster, Y Meri, V Shmatikov IEEE S&P 2020, 2020 | 36 | 2020 |
| Consistent Accelerated Inference via Confident Adaptive Transformers T Schuster, A Fisch, T Jaakkola, R Barzilay EMNLP 2021, 2021 | 35 | 2021 |
| Few-shot Conformal Prediction with Auxiliary Tasks A Fisch, T Schuster, T Jaakkola, R Barzilay ICML 2021, 2021 | 35 | 2021 |
| Efficient Conformal Prediction via Cascaded Inference with Expanded Admission A Fisch, T Schuster, T Jaakkola, R Barzilay ICLR 2021, 2021 | 34 | 2021 |
| Deep learning model to assess cancer risk on the basis of a breast MR image alone T Portnoi, A Yala, T Schuster, R Barzilay, B Dontchos, L Lamb, C Lehman American Journal of roentgenology 213 (1), 227-233, 2019 | 30 | 2019 |
Donald MetzlerGoogleVerified email at google.com
