Author

Zebin Duan

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Preprint Jul 2026

Bootstrapping Self-Supervised Learning of Binary Classification Using Error Bounds: A Case Study on a Robotic Insertion Task

A data engine which gathers data and improves its performance while executing the task, and demonstrates the ability to learn and reduce the need for expensive verifications over time, while staying within the set error-rate.

Zebin Duan, Norbert Krüger, Juan Heredia et al. · 0 citations