2 papers
cs.LG2021
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
Vincent Mai, Waleed Khamies, Liam Paull
Heteroscedastic regression is the task of supervised learning where each label is subject to noise from a different distribution. This noise can be caused by the labelling process,…
cs.RO2019
Deep Active Localization
Sai Krishna, Keehong Seo, Dhaivat Bhatt +3
Active localization is the problem of generating robot actions that allow it to maximally disambiguate its pose within a reference map. Traditional approaches to this use an inform…