11 citations · 33 across the 11 of their papers we have counts for
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eess.AS2023★ 3 cited
Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification
Theo Lepage, Reda Dehak
Most state-of-the-art self-supervised speaker verification systems rely on a contrastive-based objective function to learn speaker representations from unlabeled speech data. We ex…
cs.CL2023★ 2 cited
A benchmark for toxic comment classification on Civil Comments dataset
Corentin Duchene, Henri Jamet, Pierre Guillaume +1
Toxic comment detection on social media has proven to be essential for content moderation. This paper compares a wide set of different models on a highly skewed multi-label hate sp…