Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
Hearsay: Vision-Language Medical Diagnoses Without an Image
Siddharth Vohra
When asked to describe a medical image that was never attached, frontier vision-language models do not abstain: they confabulate a diagnosis. We show that this confabulation is not…
cs.CV2020
Investigating the Effect of Intraclass Variability in Temporal Ensembling
Siddharth Vohra, Manikandan Ravikiran
Temporal Ensembling is a semi-supervised approach that allows training deep neural network models with a small number of labeled images. In this paper, we present our preliminary s…