Zobrazeno 1 - 10
of 8 531
pro vyhledávání: '"Ustun A."'
Machine learning models are often used to automate or support decisions in applications such as lending and hiring. In such settings, consumer protection rules mandate that we provide a list of "principal reasons" to consumers who receive adverse dec
Externí odkaz:
http://arxiv.org/abs/2410.22598
Autor:
Zhang, Qizhen, Gritsch, Nikolas, Gnaneshwar, Dwaraknath, Guo, Simon, Cairuz, David, Venkitesh, Bharat, Foerster, Jakob, Blunsom, Phil, Ruder, Sebastian, Ustun, Ahmet, Locatelli, Acyr
The Mixture of Experts (MoE) framework has become a popular architecture for large language models due to its superior performance over dense models. However, training MoEs from scratch in a large-scale regime is prohibitively expensive. Existing met
Externí odkaz:
http://arxiv.org/abs/2408.08274
Autor:
Jeong, Hyewon, Jabbour, Sarah, Yang, Yuzhe, Thapta, Rahul, Mozannar, Hussein, Han, William Jongwon, Mehandru, Nikita, Wornow, Michael, Lialin, Vladislav, Liu, Xin, Lozano, Alejandro, Zhu, Jiacheng, Kocielnik, Rafal Dariusz, Harrigian, Keith, Zhang, Haoran, Lee, Edward, Vukadinovic, Milos, Balagopalan, Aparna, Jeanselme, Vincent, Matton, Katherine, Demirel, Ilker, Fries, Jason, Rashidi, Parisa, Beaulieu-Jones, Brett, Xu, Xuhai Orson, McDermott, Matthew, Naumann, Tristan, Agrawal, Monica, Zitnik, Marinka, Ustun, Berk, Choi, Edward, Yeom, Kristen, Gursoy, Gamze, Ghassemi, Marzyeh, Pierson, Emma, Chen, George, Kanjilal, Sanjat, Oberst, Michael, Zhang, Linying, Singh, Harvineet, Hartvigsen, Tom, Zhou, Helen, Okolo, Chinasa T.
The third ML4H symposium was held in person on December 10, 2023, in New Orleans, Louisiana, USA. The symposium included research roundtable sessions to foster discussions between participants and senior researchers on timely and relevant topics for
Externí odkaz:
http://arxiv.org/abs/2403.01628
Existing approaches to Theory of Mind (ToM) in Artificial Intelligence (AI) overemphasize prompted, or cue-based, ToM, which may limit our collective ability to develop Artificial Social Intelligence (ASI). Drawing from research in computer science,
Externí odkaz:
http://arxiv.org/abs/2402.13272
Autor:
Watson-Daniels, Jamelle, Calmon, Flavio du Pin, D'Amour, Alexander, Long, Carol, Parkes, David C., Ustun, Berk
Machine learning models in modern mass-market applications are often updated over time. One of the foremost challenges faced is that, despite increasing overall performance, these updates may flip specific model predictions in unpredictable ways. In
Externí odkaz:
http://arxiv.org/abs/2402.07745
Autor:
Nagaraj, Sujay, Gerych, Walter, Tonekaboni, Sana, Goldenberg, Anna, Ustun, Berk, Hartvigsen, Thomas
Many sequential classification tasks are affected by label noise that varies over time. Such noise can cause label quality to improve, worsen, or periodically change over time. We first propose and formalize temporal label noise, an unstudied problem
Externí odkaz:
http://arxiv.org/abs/2402.04398
Modern recommender systems may output considerably different recommendations due to small perturbations in the training data. Changes in the data from a single user will alter the recommendations as well as the recommendations of other users. In appl
Externí odkaz:
http://arxiv.org/abs/2402.03481
Autor:
Keren Ladin, John Cuddeback, O. Kenrik Duru, Sharad Goel, William Harvey, Jinny G. Park, Jessica K. Paulus, Joyce Sackey, Richard Sharp, Ewout Steyerberg, Berk Ustun, David van Klaveren, Saul N. Weingart, David M. Kent
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much hope ha
Externí odkaz:
https://doaj.org/article/8225c57a8b2d4aebbf837ef224076579
Autor:
Nazan Vanli Tonyali, Kemal Sarsmaz, Burak Bayraktar, Neval Cayonu Kahraman, Serap Topkara Sucu, Gizem Aktemur, Betul Tokgoz Cakir, Zeynep Seyhanli, Gulsan Karabay, Ayberk Cakir, Yaprak Ustun
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background This study investigates the role of Delta Neutrophil Index (DNI), an inflammation marker, in late-onset fetal growth restriction (LO-FGR) and its prediction of composite adverse neonatal outcomes. Methods A retrospective study was
Externí odkaz:
https://doaj.org/article/cd600c8258b84345aa62090723456253
Publikováno v:
Journal of Nursology, Vol 27, Iss 3, Pp 248-258 (2024)
Objective: In this study, it was aimed to make a validity and reliability study by adapting the questionnaire on communicating bad news to be used to evaluate the knowledge and skills of nurses and midwives in breaking bad news.Methods: The questionn
Externí odkaz:
https://doaj.org/article/862957203f2a468e96b92da1f9f6174c