Tal Schuster
Cited by
Cited by
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
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
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
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
Towards debiasing fact verification models
T Schuster, DJ Shah, YJS Yeo, D Filizzola, E Santus, R Barzilay
EMNLP 2019, 2019
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
Ul2: Unifying language learning paradigms
Y Tay, M Dehghani, VQ Tran, X Garcia, J Wei, X Wang, HW Chung, ...
ICLR 2023, 2022
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
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
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
T Schuster, A Fisch, R Barzilay
NAACL 2021, 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
Confident Adaptive Language Modeling
T Schuster, A Fisch, J Gupta, M Dehghani, D Bahri, VQ Tran, Y Tay, ...
Neurips 2022, 2022
Automatic Fact-guided Sentence Modification
DJ Shah, T Schuster, R Barzilay
AAAI 2020, 2019
Conformal risk control
AN Angelopoulos, S Bates, A Fisch, L Lei, T Schuster
arXiv preprint arXiv:2208.02814, 2022
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
R Schuster, T Schuster, Y Meri, V Shmatikov
IEEE S&P 2020, 2020
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
A Fisch, T Schuster, T Jaakkola, R Barzilay
ICLR 2021, 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
T Schuster, A Fisch, T Jaakkola, R Barzilay
EMNLP 2021, 2021
Few-shot Conformal Prediction with Auxiliary Tasks
A Fisch, T Schuster, T Jaakkola, R Barzilay
ICML 2021, 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
Are we safe yet? the limitations of distributional features for fake news detection
T Schuster, R Schuster, DJ Shah, R Barzilay
arXiv preprint arXiv:1908.09805, 2019
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