139 citations · 361 across the 17 of their papers we have counts for
4 papers · 1 filter
An Introduction to Vision-Language Modeling
Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay +38
Following the recent popularity of Large Language Models (LLMs), several attempts have been made to extend them to the visual domain. From having a visual assistant that could guid…
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Abbas, Kushal Tirumala, Dániel Simig +2
Progress in machine learning has been driven in large part by massive increases in data. However, large web-scale datasets such as LAION are largely uncurated beyond searches for e…
Investigating Generalization by Controlling Normalized Margin
Alexander R. Farhang, Jeremy Bernstein, Kushal Tirumala +2
Weight norm and margin participate in learning theory via the normalized margin . Since standard neural net optimizers do not control normalized margin, it is…
Ensemble Machine Learning Methods for Modeling COVID19 Deaths
R. Bathwal, P. Chitta, K. Tirumala +1
Using a hybrid of machine learning and epidemiological approaches, we propose a novel data-driven approach in predicting US COVID-19 deaths at a county level. The model gives a mor…