Identifying Incorrect Annotations in Multi-Label Classification Data · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2211.13895/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTIdentifying Incorrect Annotations in Multi-Label Classification Data — mentioned by cmauck10https://news.ycombinator.com/item?id=33791381urn:hackerpapers:mention:2211.13895:33791381Tue, 29 Nov 2022 18:38:26 GMT<p>When image/document data has multiple labels, many label errors and/or missing tags make it hard to train highly accurate ML models. We&#x27;re excited to share with the HN community our newest research on algorithms to automatically find label errors in multi-label classification datasets. Research:https://arxiv.org/abs/2211.13895</p><p><a href="https://hackerpaper.kaipfister.de/p/2211.13895/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG