The standard narrative is that policing and imprisonment are necessary tools to keep the public safe from criminals. But it ...

Industrial AI may be all the rage, but it’s useless-to-dangerous without standardized, relevant data to work from. And yet, ...

Abstract: Test-time domain adaptation adjusts a source domain model to accommodate previously unseen domain shifts in a target domain during inference. In real-world scenarios, domain shifts ...

Batch normalization (BN) is used by default in many modern deep neural networks due to its effectiveness in accelerating training convergence and boosting inference performance. Recent studies suggest ...