4 papers · 1 filter
A Shared Encoder Is Not a Shared Task: Conditional Comparison for Deep Expert Pools
Kentaro Oda
Sharing a deep encoder does not, by itself, fix the central confound of task-comparison scores. We show that cross-evaluated heads on a frozen shared representation inherit the ext…
Separating Covariate Shift from Mechanism Change with Two Discriminators: CJSD, a Conditional Discrepancy with an Exact Covariate-Concept Decomposition
Kentaro Oda
After the inputs X are known, how much additional information does the label Y carry about which dataset a sample came from? That single quantity -- estimable as the difference of…
What Changed? Drift Detection with Real, Virtual, and Incomparable Diagnosis
Kentaro Oda
Sharing a deep encoder does not, by itself, fix the central confound of task-comparison scores. We show that cross-evaluated heads on a frozen shared representation inherit the ext…
Evidence Before Expansion: Reuse, Spawn, or Defer in Lifelong Expert Pools
Kentaro Oda
Streaming systems that maintain a pool of expert models must repeatedly decide whether to reuse an existing expert for arriving data, spawn a new one, or defer. We present a decisi…