arXiv 2609.31620 · cs.CV · 2026-09-25
FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders
Hongyang Du, Yunfei Xie, Junjie Ye, Jiawei Yang, Xiaoyan Cong, Haodong Zhang, Yongchao Huang, Haiyu Wu 等 16 人
USC Physical Superintelligence (PSI) Lab
在最新榜 #85 本站收录于 2026-10-21
一句话要点
FuseReg 用可训练的层融合加正则，缓解表征自编码器在重建和生成之间的取舍。
FuseReg learns regularised layer fusion to ease the reconstruction-generation trade-off in representation autoencoders.
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主题与学科
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
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