March 5, 2024, 2:48 p.m. | Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang, Xiaochun Cao

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.01427v1 Announce Type: new
Abstract: Knowledge distillation involves transferring soft labels from a teacher to a student using a shared temperature-based softmax function. However, the assumption of a shared temperature between teacher and student implies a mandatory exact match between their logits in terms of logit range and variance. This side-effect limits the performance of student, considering the capacity discrepancy between them and the finding that the innate logit relations of teacher are sufficient for student to learn. To address …

abstract arxiv cs.cv distillation function knowledge labels match performance softmax standardization terms type variance

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Software Engineer, Generative AI (C++)

@ SoundHound Inc. | Toronto, Canada