Open smoolintch opened 4 weeks ago
Trusted_Multi_View_Classification.pdf Trusted Multi-View Classification withDynamic Evidential Fusion.pdf NeurIPS-2021-trustworthy-multimodal-regression-with-mixture-of-normal-inverse-gamma-distributions-Paper.pdf CVPR-2022Han_Multimodal_Dynamics_Dynamical_Fusion_for_Trustworthy_Multimodal_Classification_CVPR_2022_paper.pdf 目前在精读的方向是基于不确定性的数据融合方式,之后边读边想怎么为我所用
differential transformer.pdf 这篇文章介绍了微软和清华最新公布的差分注意力机制,根据文章的意思,这一机制相比原本的attention可以更加注重于关注有联系的上下文,我准备这两天学习一下这个,感觉是有机会放到多模态融合中的。
这是一条发展脉络,也是我目前学习的主要方向 TRUSTED MULTI-VIEW CLASSIFICATION.pdf Han_Multimodal_Dynamics_Dynamical_Fusion_for_Trustworthy_Multimodal_Classification_CVPR_2022_paper.pdf QMF2023ICML Provable dynamic fusion for low-quality.pdf PDF2024ICML Predictive Dynamic Fusion.pdf
基于不确定性的数据融合方式
Trusted_Multi_View_Classification.pdf Trusted Multi-View Classification withDynamic Evidential Fusion.pdf NeurIPS-2021-trustworthy-multimodal-regression-with-mixture-of-normal-inverse-gamma-distributions-Paper.pdf CVPR-2022Han_Multimodal_Dynamics_Dynamical_Fusion_for_Trustworthy_Multimodal_Classification_CVPR_2022_paper.pdf 目前在精读的方向是基于不确定性的数据融合方式,之后边读边想怎么为我所用