A 330k-parameter RetNet-based model tags b-jets with validation AUC 0.956 on CMS Open Data, beating an MLP baseline and approaching larger state-of-the-art taggers trained on 100x more data.
Journal of Instrumentation, 13(05):P05011, may 2018
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B-Jet Tagging with Retentive Networks: A Novel Approach and Comparative Study
A 330k-parameter RetNet-based model tags b-jets with validation AUC 0.956 on CMS Open Data, beating an MLP baseline and approaching larger state-of-the-art taggers trained on 100x more data.