most citedDomain Adversarial Active Learning for Domain Generalization Classification

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2026★ 1 cited

Generative Archetype-Grounded Item Representations for Sequential Recommendation

Yifan Li, Jiahong Liu, Xinni Zhang +5

Sequential recommendation aims to predict users' next interaction with items by analyzing their historical behavior. However, the limited quality of item representations remains a…

cs.LG2024★ 1 cited

Domain Adversarial Active Learning for Domain Generalization Classification

Jianting Chen, Ling Ding, Yunxiao Yang +2

Domain generalization models aim to learn cross-domain knowledge from source domain data, to improve performance on unknown target domains. Recent research has demonstrated that di…