Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Evelyn Duesterwald"'
Autor:
Michelle Brachman, Zahra Ashktorab, Michael Desmond, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi, Qian Pan, Aabhas Sharma
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-27
Human data labeling with multiple labelers and the resulting conflict resolution remains the norm for many enterprise machine learning pipelines. Conflict resolution can be a time-intensive and costly process. Our goal was to study how human-AI colla
Autor:
Michael Desmond, Michelle Brachman, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi, Qian Pan, Carolina Spina
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:13161-13163
We demonstrate an AI assisted data labeling system which applies unsupervised and semi-supervised machine learning to facilitate accurate and efficient labeling of large data sets. Our system (1) applies representative data sampling and active learni
Autor:
Kristina Brimijoin, Zahra Ashktorab, Darrell C. Reimer, Michael Muller, Qian Pan, Josh Andres, Werner Geyer, Michael Desmond, Michelle Brachman, Evelyn Duesterwald, Aabhas Sharma, Casey Dugan, Narendra Nath Joshi, Christine T. Wolf
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-27
Human labeling of training data is often a time-consuming, expensive part of machine learning. In this paper, we study "batch labeling", an AI-assisted UX paradigm, that aids data labelers by allowing a single labeling action to apply to multiple rec
Autor:
Qian Pan, Narendra Nath Joshi, Christine T. Wolf, Josh Andres, Michael Desmond, Aabhas Sharma, Evelyn Duesterwald, Casey Dugan, Michael Muller, Kristina Brimijoin, Zahra Ashktorab
Publikováno v:
CHI
Ground-truth labeling is an important activity in machine learning. Many studies have examined how crowdworkers apply labels to records in machine learning datasets. However, there have been few studies that have examined the work of domain experts w
Autor:
Kristina Brimijoin, Zahra Ashktorab, Michael Desmond, Aabhas Sharma, Qian Pan, Michael Muller, Catherine Finegan-Dollak, Casey Dugan, Narendra Nath Joshi, Evelyn Duesterwald, Michelle Brachman
Publikováno v:
26th International Conference on Intelligent User Interfaces.
Labeling data is an important step in the supervised machine learning lifecycle. It is a laborious human activity comprised of repeated decision making: the human labeler decides which of several potential labels to apply to each example. Prior work
Autor:
Matthew Halpern, Behzad Boroujerdian, Todd W. Mummert, Vijay Janapa Reddi, Evelyn Duesterwald
Publikováno v:
ISPASS
Today's cloud service architectures follow a "one size fits all" deployment strategy where the same service version instantiation is provided to the end users. However, consumers are broad and different applications have different accuracy and respon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a038630c296f203d8861657551d62f66
Publikováno v:
Onward!
There is a paradigm shift in web-based services towards conversational user interfaces. Companies increasingly offer conversational interfaces, or chatbots, to let their customers or employees interact with their services in a more flexible and mobil
Publikováno v:
PLDI
We describe the design and implementation of Dynamo, a software dynamic optimization system that is capable of transparently improving the performance of a native instruction stream as it executes on the processor. The input native instruction stream
Publikováno v:
IBM Journal of Research and Development. 50:239-248
Our research is aimed at characterizing, understanding, and exploiting the interactions between hardware and software to improve system performance. We have developed a paradigm for continuous program optimization (CPO) that assists in and automates
Publikováno v:
ICSE Companion
Traditional integrated development environments (IDEs) provide developers with robust environments for writing, testing, debugging, and deploying code. As the world becomes increasingly networked and more services are delivered via the cloud, it is o