Active learning with a self-organizing map outlier filter selects 6,700 DESI spectra, yielding QuasarNET weights that match eBOSS-trained performance with about one tenth the training data.
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Using Active Learning to Improve Quasar Identification for the DESI Spectra Processing Pipeline
Active learning with a self-organizing map outlier filter selects 6,700 DESI spectra, yielding QuasarNET weights that match eBOSS-trained performance with about one tenth the training data.