Loop engineering, a new phrase circulating among AI developers, is becoming a way to describe how software teams are trying to get more value from coding agents: not by writing better one-off prompts, ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

Abstract: Recent researches have made a great progress in domain adaptive object detectors. These detectors aim to learn explicit domain-invariant features by adversarially mitigating domain ...

Abstract: Single domain generalization (SDG) aims to transfer models trained on a single source domain to multiple unseen target domains while against the unknown domain shifts. The main challenge ...