19 citations · 46 across the 6 of their papers we have counts for
3 papers · 1 filter
Fix your Models by Fixing your Datasets
Atindriyo Sanyal, Vikram Chatterji, Nidhi Vyas +3
The quality of underlying training data is very crucial for building performant machine learning models with wider generalizabilty. However, current machine learning (ML) tools lac…
Namesakes: Ambiguously Named Entities from Wikipedia and News
Oleg Vasilyev, Aysu Altun, Nidhi Vyas +3
We present Namesakes, a dataset of ambiguously named entities obtained from English-language Wikipedia and news articles. It consists of 58862 mentions of 4148 unique entities and…
Training With Data Dependent Dynamic Learning Rates
Shreyas Saxena, Nidhi Vyas, Dennis DeCoste
Recently many first and second order variants of SGD have been proposed to facilitate training of Deep Neural Networks (DNNs). A common limitation of these works stem from the fact…