GAIR-Lab / IISAN

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

Date Created 2024-04-02 (8 months ago)

Commits 82 (last one 4 days ago)

Stargazers 29 (3 this week)

Watchers 1 (0 this week)

Forks 0

License unknown

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RepositoryStats indexes 589,134 repositories, of these GAIR-Lab/IISAN is ranked #568,525 (3rd percentile) for total stargazers, and #539,476 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #112,686/117,584.

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All Topics

peft iisan memory-efficient efficiency-analysis multimodal-learning representation-learning multimodal-recommendation multimodal-representation sequential-recommendation

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82 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-03 @ 10:18am, id: 780918529 / R_kgDOLovfAQ