Genko 原稿Back to edition

Monday, 2 Nov 2026 · stat.ML · cs.LG · crossfield

Bayes-Consistent Losses for Adaptive Inference in Classification

Adaptive inference systems balance accuracy and inference cost by routing inputs to models with varying capabilities.

By Shirley Xiaoqi Liu, Florence Regol, Antonios Valkanas et al · 1-minute read

Explainer · on the wire

The explainer for this story is still on the wire.

The claim, the mechanism, and the figures land here once generated.

Source · arXiv

arxiv.org/abs/2610.39709stat.ML · cs.LG

More from this edition

Surprise Alone Learns Lies: Evidence-Gated Continual Learning for LLMs from Streaming ClaimsHow Specific Do I Need to Be? Effects of User Query Underspecification on Deep Research AgentsYoutu-Parsing-Omni: One Encoder, One Schema, All ModalitiesIncentivizing Self-Learning in Large Language Models via Reinforcement Learning
Bayes-Consistent Losses for Adaptive Inference in Classification — Genko 2 Nov 2026