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Found 2 papers, 1 papers with code
Training set cleansing of backdoor poisoning by self-supervised representation learning
Using a feature embedding found by self-supervised representation learning, a data cleansing method, which combines sample filtering and re-labeling, is developed.
Transfer Learning with Jukebox for Music Source Separation
In this work, we demonstrate how a publicly available, pre-trained Jukebox model can be adapted for the problem of audio source separation from a single mixed audio channel.
Ranked #12 on
Music Source Separation
on MUSDB18-HQ
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