Concepedia

Shiori Sagawa

SS

17

Publications

3.3K

Citations

14

H-Index

2014

Active since

Affiliations

Columbia University(Current)

Stanford University

D. E. Shaw Research

Stanford Medicine

University of California, Berkeley

Shiori Sagawa is an author at Columbia University specializing in engineering, deep learning, and machine learning.

Top concepts

EngineeringData ScienceDeep LearningMachine LearningComputer ScienceSupervised LearningStatisticsStatistical InferenceNatural Language ProcessingMachine Translation

Publications per year

2014–2023

17

Publications

17

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli et al. · arXiv (Cornell University) · 2021 · 2.1K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto et al. · arXiv (Cornell University) · 2019 · 364 citations · Full text

Engineering, Machine Learning, Shift Detection +20

Distributionally Robust Neural Networks

Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto et al. · International Conference on Learning Representations · 2020 · 110 citations

Artificial Intelligence, Engineering, Machine Learning +16

The architecture of EGFR’s basal complexes reveals autoinhibition mechanisms in dimers and oligomers

Laura C. Zanetti-Domingues, Dimitris Korovesis, Sarah R. Needham et al. · Nature Communications · 2018 · 91 citations · Full text

Distributionally Robust Language Modeling

Yonatan Oren, Shiori Sagawa, Tatsunori Hashimoto et al. · 2019 · 83 citations · Full text

Natural Language Processing, Applied Linguistics, Engineering +13

Rows per page

1–5 of 17