47 citations · 65 across the 8 of their papers we have counts for
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cs.LG2023
Perturbation-Based Two-Stage Multi-Domain Active Learning
Rui He, Zeyu Dai, Shan He +1
In multi-domain learning (MDL) scenarios, high labeling effort is required due to the complexity of collecting data from various domains. Active Learning (AL) presents an encouragi…
cs.LG2023
Multi-Domain Learning From Insufficient Annotations
Rui He, Shengcai Liu, Jiahao Wu +2
Multi-domain learning (MDL) refers to simultaneously constructing a model or a set of models on datasets collected from different domains. Conventional approaches emphasize domain-…
cs.LG2021★ 5 cited
Multi-Domain Active Learning: Literature Review and Comparative Study
Rui He, Shengcai Liu, Shan He +1
Multi-domain learning (MDL) refers to learning a set of models simultaneously, where each model is specialized to perform a task in a particular domain. Generally, a high labeling…