Search Results for author:
Found 2 papers, 1 papers with code
Fair Ranking under Disparate Uncertainty
While ranking can make human evaluation more effective by focusing attention on the most promising options, we argue that it can introduce unfairness if the uncertainty of the underlying relevance model differs between groups of options.
Semi-Parametric Inducing Point Networks and Neural Processes
We introduce semi-parametric inducing point networks (SPIN), a general-purpose architecture that can query the training set at inference time in a compute-efficient manner.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
