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subeeshvasu / Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels
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Recommand our ICLR oral paper #43

Closed hbzju closed 2 years ago

hbzju commented 2 years ago

Hi,

Thanks for your wonderful collection of awesome papers with label-noise label learning! We would like to recommend our newly released paper PiCO: Contrastive Label Disambiguation for Partial Label Learning, which has been accepted by ICLR 2022 as an oral presentation. Our work studied an important corrupted-label learning problem that mitigates the inherent label ambiguity in the annotation procedure. We believe our work is appropriate to be included in this repo!

Best. Haobo

subeeshvasu commented 2 years ago

Done :)