Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Zachary C. Lipton"'
Autor:
Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10, Pp 359-375 (2022)
AbstractWhile many methods purport to explain predictions by highlighting salient features, what aims these explanations serve and how they ought to be evaluated often go unstated. In this work, we introduce a framework to quantify the value of expla
Externí odkaz:
https://doaj.org/article/f777d8bfd156496f83f1cdcc09d24f38
Autor:
Mohamed A. Adam, Helen Zhou, Jonathan Byrd, Anya L. Greenberg, Yvonne M. Kelly, Lauren Hall, Heather L. Jones, James F. Pingpank, Zachary C. Lipton, David L. Bartlett, Haroon M. Choudry
Publikováno v:
Annals of Surgical Oncology.
Autor:
Zachary C. Lipton
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Publikováno v:
Communications of the ACM. 64:44-47
Media platforms today benefit from: (1) discretion to organize content, (2) algorithms for curating user-posted content, and (3) absolution from liability. This favorable regulatory environment res...
Publikováno v:
Canadian Journal of Philosophy. 52:44-60
Machine learning algorithms are increasingly used to shape high-stake allocations, sparking research efforts to orient algorithm design towards ideals of justice and fairness. In this research on algorithmic fairness, normative theorizing has primari
Publikováno v:
Queue. 19:11-15
Ever since social activity on the Internet began migrating from the wilds of the open web to the walled gardens erected by so-called platforms, debates have raged about the responsibilities that these platforms ought to bear. And yet, despite intense
Autor:
Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alex J. Smola
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:408-417
Autoregressive models using Transformers have emerged as the dominant approach for music generation with the goal of synthesizing minute-long compositions that exhibit large-scale musical structure. These models are commonly trained by minimizing the
Publikováno v:
AMIA Annu Symp Proc
Since the COVID-19 pandemic began, the United States’s case fatality rate (CFR) has plummeted. Using national and Florida data, we unpack the drop in CFR between April and December 2020, accounting for such confounders as expanded testing, age dist
Publikováno v:
Neurobiol Aging
Numerous studies have established that estimated brain age, as derived from statistical models trained on healthy populations, constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases. In this work, w
Autor:
Alex Reinhart, Logan Brooks, Maria Jahja, Aaron Rumack, Jingjing Tang, Sumit Agrawal, Wael Al Saeed, Taylor Arnold, Amartya Basu, Jacob Bien, Ángel A. Cabrera, Andrew Chin, Eu Jing Chua, Brian Clark, Sarah Colquhoun, Nat DeFries, David C. Farrow, Jodi Forlizzi, Jed Grabman, Samuel Gratzl, Alden Green, George Haff, Robin Han, Kate Harwood, Addison J. Hu, Raphael Hyde, Sangwon Hyun, Ananya Joshi, Jimi Kim, Andrew Kuznetsov, Wichada La Motte-Kerr, Yeon Jin Lee, Kenneth Lee, Zachary C. Lipton, Michael X. Liu, Lester Mackey, Kathryn Mazaitis, Daniel J. McDonald, Phillip McGuinness, Balasubramanian Narasimhan, Michael P. O’Brien, Natalia L. Oliveira, Pratik Patil, Adam Perer, Collin A. Politsch, Samyak Rajanala, Dawn Rucker, Chris Scott, Nigam H. Shah, Vishnu Shankar, James Sharpnack, Dmitry Shemetov, Noah Simon, Benjamin Y. Smith, Vishakha Srivastava, Shuyi Tan, Robert Tibshirani, Elena Tuzhilina, Ana Karina Van Nortwick, Valérie Ventura, Larry Wasserman, Benjamin Weaver, Jeremy C. Weiss, Spencer Whitman, Kristin Williams, Roni Rosenfeld, Ryan J. Tibshirani
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, vol 118, iss 51
Proceedings of the National Academy of Sciences of the United States of America, vol 118, iss 51
Significance To study the COVID-19 pandemic, its effects on society, and measures for reducing its spread, researchers need detailed data on the course of the pandemic. Standard public health data streams suffer inconsistent reporting and frequent, u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07f48f7101edf7a1872601726a2305dd
https://doi.org/10.1101/2021.07.12.21259660
https://doi.org/10.1101/2021.07.12.21259660