no code implementations • 19 Jul 2023 • Rodrigo Castellon, Achintya Gopal, Brian Bloniarz, David Rosenberg
The generation of synthetic tabular data that preserves differential privacy is a problem of growing importance.
1 code implementation • 26 May 2023 • Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David Rosenberg
Autoregressive language models are trained by minimizing the cross-entropy of the model distribution Q relative to the data distribution P -- that is, minimizing the forward cross-entropy, which is equivalent to maximum likelihood estimation (MLE).
no code implementations • 30 Mar 2023 • Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, Gideon Mann
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering.
no code implementations • 30 Oct 2021 • YiFan Li, Garrett Yoon, Mustafa Nasir-Moin, David Rosenberg, Sean Neifert, Douglas Kondziolka, Eric Karl Oermann
Numerous COVID-19 clinical decision support systems have been developed.
no code implementations • 2 Mar 2021 • Ramakanth Pasunuru, David Rosenberg, Gideon Mann, Mohit Bansal
Since these are sequence models, we must choose an ordering of the objects in the graphics programs for likelihood training.
no code implementations • 21 Nov 2018 • Siddharth Karamcheti, Gideon Mann, David Rosenberg
While these fuzzers have been able to find vulnerabilities in many widely used programs, they are not efficient; of the millions of inputs executed by AFL in a typical fuzzing run, only a handful discover unseen behavior or trigger a crash.
no code implementations • 24 Aug 2018 • Siddharth Karamcheti, Gideon Mann, David Rosenberg
Fuzz testing, or "fuzzing," refers to a widely deployed class of techniques for testing programs by generating a set of inputs for the express purpose of finding bugs and identifying security flaws.
no code implementations • 21 Apr 2017 • Mathieu Cliche, David Rosenberg, Dhruv Madeka, Connie Yee
Charts are an excellent way to convey patterns and trends in data, but they do not facilitate further modeling of the data or close inspection of individual data points.
Optical Character Recognition Optical Character Recognition (OCR)