AI RESEARCH
TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference
arXiv CS.LG
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ArXi:2603.14171v1 Announce Type: new Anomaly detection for tabular data has been a long-standing unsupervised learning problem that remains a major challenge for current deep learning models. Recently, in-context learning has emerged as a new paradigm that has shifted efforts from task-specific optimization to large-scale pre