Generative flows with invertible attentions

Generative flows with invertible attentions

Flow-based generative models have shown an excellent ability to explicitly learn the probability density function of data via a sequence of invertible transformations. Yet, learning attentions in generative flows remains understudied, while it has made breakthroughs in other domains. To fill the gap...

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書目詳細資料
Main Authors:	SUKTHANKER, Rhea Sanjay, HUANG, Zhiwu, KUMAR, Suryansh, TIMOFTE, Radu, VAN GOOL, Luc
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2022
主題:	flow-based generative models invertible attention Artificial Intelligence and Robotics Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/7612 https://ink.library.smu.edu.sg/context/sis_research/article/8615/viewcontent/01_Generative_Flows_With_Invertible_Attentions_CVPR_2022_paper.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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