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Hiroaki Ozaki

2 accepted papers

2023

How does the task complexity of masked pretraining objectives affect downstream performance?

ACL 2023findings

Masked language modeling (MLM) is a widely used self-supervised pretraining objective, where a model needs to predict an original token that is replaced with a mask given contexts. Although simpler and computationally efficient pretraining objectives, e.g., predicting the first character of a masked…

2022

Rethinking Fano’s Inequality in Ensemble Learning

ICML 2022spotlight

We propose a fundamental theory on ensemble learning that evaluates a given ensemble system by a well-grounded set of metrics. Previous studies used a variant of Fano’s inequality of information theory and derived a lower bound of the classification error rate on the basis of the accuracy and divers…