81 citations · 99 across the 4 of their papers we have counts for
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cs.LG2022★ 81 cited
Transferability in Deep Learning: A Survey
Junguang Jiang, Yang Shu, Jianmin Wang +1
The success of deep learning algorithms generally depends on large-scale data, while humans appear to have inherent ability of knowledge transfer, by recognizing and applying relev…
cs.LG2021★ 3 cited
Zoo-Tuning: Adaptive Transfer from a Zoo of Models
Yang Shu, Zhi Kou, Zhangjie Cao +2
With the development of deep networks on various large-scale datasets, a large zoo of pretrained models are available. When transferring from a model zoo, applying classic single-m…
cs.LG2017★ 7 cited
Deep Automated Multi-task Learning
Davis Liang, Yan Shu
Multi-task learning (MTL) has recently contributed to learning better representations in service of various NLP tasks. MTL aims at improving the performance of a primary task, by j…