no code implementations • 25 May 2022 • Anish Thite, Mohan Dodda, Pulak Agarwal, Jason Zutty
Deep Neural Networks (DNN's) are a widely-used solution for a variety of machine learning problems.
no code implementations • 12 May 2022 • Gabriel Wang, Anish Thite, Rodd Talebi, Anthony D'Achille, Alex Mussa, Jason Zutty
We show that by using an evolved SimGAN to refine simulated healthy ECG data to mimic real-world abnormal ECGs, we can improve the accuracy of abnormal ECG classifiers.
20 code implementations • 31 Dec 2020 • Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, Connor Leahy
Recent work has demonstrated that increased training dataset diversity improves general cross-domain knowledge and downstream generalization capability for large-scale language models.
Ranked #3 on Language Modelling on The Pile