CleverCatch integrates domain expert rules into a weak supervision neural model via shared embeddings and synthetic training data, reporting modest gains over anomaly detection baselines on real prescription data.
Available: https://arxiv.org/abs/1906.02694
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AnomalyMatch applied to JWST data identified 58 gravitational lenses, 37 new, graded by experts and spanning redshifts to zphot ~2.1.
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CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection
CleverCatch integrates domain expert rules into a weak supervision neural model via shared embeddings and synthetic training data, reporting modest gains over anomaly detection baselines on real prescription data.
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High-Redshift Gravitational Lens Discoveries in JWST NIRCam Using AnomalyMatch
AnomalyMatch applied to JWST data identified 58 gravitational lenses, 37 new, graded by experts and spanning redshifts to zphot ~2.1.