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Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Bareeva, Dilyara, Yolcu, Galip Ümit, Hedström, Anna, Schmolenski, Niklas, Wiegand, Thomas, Samek, Wojciech, Lapuschkin, Sebastian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
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