7 citations · 12 across the 11 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023
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:…
cs.LG2023
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…
cs.LG2023
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…