492 citations · 499 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification
Anish Thite, Mohan Dodda, Pulak Agarwal +1
Deep Neural Networks (DNN's) are a widely-used solution for a variety of machine learning problems. However, it is often necessary to invest a significant amount of a data scientis…
cs.NE2022★ 5 cited
Evolving SimGANs to Improve Abnormal Electrocardiogram Classification
Gabriel Wang, Anish Thite, Rodd Talebi +3
Machine Learning models are used in a wide variety of domains. However, machine learning methods often require a large amount of data in order to be successful. This is especially…
cs.CL2020★ 492 cited
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao, Stella Biderman, Sid Black +9
Recent work has demonstrated that increased training dataset diversity improves general cross-domain knowledge and downstream generalization capability for large-scale language mod…