7 citations · 12 across the 11 of their papers we have counts for
4 papers · 1 filter
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data
Konstantinos Pitas, Julyan Arbel
We present a method to improve the calibration of deep ensembles in the small training data regime in the presence of unlabeled data. Our approach is extremely simple to implement:…
A Primer on Bayesian Neural Networks: Review and Debates
Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova +1
Neural networks have achieved remarkable performance across various problem domains, but their widespread applicability is hindered by inherent limitations such as overconfidence i…
The fine print on tempered posteriors
Konstantinos Pitas, Julyan Arbel
We conduct a detailed investigation of tempered posteriors and uncover a number of crucial and previously undiscussed points. Contrary to previous results, we first show that for r…
Europepolls: A Dataset of Country-Level Opinion Polling Data for the European Union and the UK
Konstantinos Pitas
I propose an open dataset of country-level historical opinion polling data for the European Union and the UK. The dataset aims to fill a gap in available opinion polling data for t…