Table · dataset · 2026
Supplementary Material: On the importance of multiple training seeds for evaluating machine unlearning
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<p dir="ltr">Supplementary Material for the ECML-PKDD WipeOut-2 workshop accepted paper: "On the importance of multiple training seeds for evaluating machine unlearning"<br><br>© The Author(s), CC BY-NC 4.0</p>
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Where it is published
- DOI doi.org/10.17028/rd.lboro.33940567.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
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- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Fairness, accountability, transparency, trust and ethics of computer systems · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
Provenance · 1 source records, 17 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/33940567 | 4 d ago | JSON v1 |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |