2 papers
cs.CV2023
Explicit and Implicit Knowledge Distillation via Unlabeled Data
Yuzheng Wang, Zuhao Ge, Zhaoyu Chen +4
Data-free knowledge distillation is a challenging model lightweight task for scenarios in which the original dataset is not available. Previous methods require a lot of extra compu…
cs.LG2020
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
Qing Tian, Yanan Zhu, Chuang Ma +1
Unsupervised domain adaptation (UDA) is an emerging research topic in the field of machine learning and pattern recognition, which aims to help the learning of unlabeled target dom…