2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Large Deviations for Accelerating Neural Networks Training
Sreelekha Guggilam, Varun Chandola, Abani Patra
Artificial neural networks (ANNs) require tremendous amount of data to train on. However, in classification models, most data features are often similar which can lead to increase…
cs.CY2022
Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data
Pranav Sankhe, Seventy F. Hall, Melanie Sage +3
Youth in the American foster care system are significantly more likely than their peers to face a number of negative life outcomes, from homelessness to incarceration. Administrati…
cs.DB2016★ 2 cited
Summarizing Large Query Logs in Ettu
Gokhan Kul, Duc Luong, Ting Xie +4
Database access logs are large, unwieldy, and hard for humans to inspect and summarize. In spite of this, they remain the canonical go-to resource for tasks ranging from performanc…