TASTE: Task-Aware Out-of-Distribution Detection via Stein Operators
TASTE proposes a task-aware framework using Stein operators to detect out-of-distribution data. It links distribution shifts directly to how sensitive a model's internal workings are to those shifts, providing interpretable per-sample and per-pixel diagnostics for anomalies.