5 citations · 10 across the 9 of their papers we have counts for
3 papers · 1 filter
Adaptive Sampling for Deep Learning via Efficient Nonparametric Proxies
Shabnam Daghaghi, Benjamin Coleman, Benito Geordie +1
Data sampling is an effective method to improve the training speed of neural networks, with recent results demonstrating that it can even break the neural scaling laws. These resul…
Efficient Inference via Universal LSH Kernel
Zichang Liu, Benjamin Coleman, Anshumali Shrivastava
Large machine learning models achieve unprecedented performance on various tasks and have evolved as the go-to technique. However, deploying these compute and memory hungry models…
Bloom Origami Assays: Practical Group Testing
Louis Abraham, Gary Becigneul, Benjamin Coleman +3
We study the problem usually referred to as group testing in the context of COVID-19. Given n samples collected from patients, how should we select and test mixtures of samples to…