TaskBridge: Bridging Unsupervised Tabular Anomaly Detection and In-Context Learning via Virtual Tasks

arXiv:2609.36968 · cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Comments: 34 pages

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• In-Context Learning — 1× in this paper · explained in 4 episodes

Sources

• From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection
• TabLib: A Dataset of 627M Tables with Context
• TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
• TabPFN-3: Technical Report
• From Tables to Time: Extending TabPFN-v2 to Time Series Forecasting
• TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference
• Transformers Can Do Bayesian Inference
• FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
• ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes
• No Need to Train Your RDB Foundation Model

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