Author

H. Afshar

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Preprint Aug 2026

Hide&Seek: Learning to Explain in an End-to-End Differentiable Network

This paper presents Hide&Seek, an end-to-end differentiable model for instance-wise feature selection and prediction under a single objective without information leakage that outperforms existing state-of-the-art models across a range of experiments and is fast to train.

Tal Ellinson, H. Afshar, S. Cripps · 0 citations