Rafael Poyiadzi — accepted AI-conference papers

2024

Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood

Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raul Santos-Rodriguez

AAAI 2024technical

In supervised learning, automatically assessing the quality of the labels before any learning takes place remains an open research question. In certain particular cases, hypothesis testing procedures have been proposed to assess whether a given instance-label dataset is contaminated with class-condi…

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2019

Active Learning with Label Proportions

Rafael Poyiadzi, Raúl Santos-Rodríguez, Niall Twomey

ICASSP 2019accepted

Active Learning (AL) refers to the setting where the learner has the ability to perform queries to an oracle to acquire the true label of an instance or, sometimes, a set of instances. Even though Active Learning has been studied extensively, the setting is usually restricted to assume that the orac…

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