AI RESEARCH
Not Every Subject Should Stay: Machine Unlearning for Noisy Engagement Recognition
arXiv CS.CV
•
ArXi:2605.04713v1 Announce Type: new Engagement recognition datasets are typically subject-indexed and often contain noisy, subjective supervision, making post-hoc dataset revision a practical problem. Existing noisy-label and data-cleaning methods largely operate at the sample level before or during