出来 发表于 2025-3-30 11:35:10
Miki Sekoissue. To address this bottleneck, we propose a similarity-based Auxiliary Unlabeled Guidance Network (AUGNet), extracting auxiliary information from unlabeled images as a supplement of the original support guidance. First, the Auxiliary Information Generation module (AIG) refines unlabeled informataerial 发表于 2025-3-30 15:24:28
http://reply.papertrans.cn/43/4286/428521/428521_52.pngparallelism 发表于 2025-3-30 17:18:32
ne Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024...The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: ..Part I - theory of neural networks and machin