4 citations · 7 across the 14 of their papers we have counts for
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cs.LG2024★ 3 cited
Causal Estimation of Memorisation Profiles
Pietro Lesci, Clara Meister, Thomas Hofmann +2
Understanding memorisation in language models has practical and societal implications, e.g., studying models' training dynamics or preventing copyright infringements. Prior work de…
cs.LG2024★ 4 cited
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci, Andreas Vlachos
Active learning for imbalanced classification tasks is challenging as the minority classes naturally occur rarely. Gathering a large pool of unlabelled data is thus essential to ca…