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pro vyhledávání: '"Šeputis, Dominykas"'
Large pre-trained vision-language models, such as CLIP, have demonstrated state-of-the-art performance across a wide range of image classification tasks, without requiring retraining. Few-shot CLIP is competitive with existing specialized architectur
Externí odkaz:
http://arxiv.org/abs/2409.02958
In this work, we identify open research opportunities in applying Neural Temporal Point Process (NTPP) models to industry scale customer behavior data by carefully reproducing NTPP models published up to date on known literature benchmarks as well as
Externí odkaz:
http://arxiv.org/abs/2208.08623
Autor:
Šeputis, Dominykas
In this work we identify open research opportunities in applying Neural Temporal Point Process (NTPP) models to industry scale customer behaviour data. By carefully reproducing NTPP models published up to date on known literature benchmarks. As well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4036::e24521b7849fea8b0dfeab2c53c21ceb
https://repository.vu.lt/VU:ELABAETD146236112&prefLang=en_US
https://repository.vu.lt/VU:ELABAETD146236112&prefLang=en_US