1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2022
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning
Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar +3
Prefix-tuning, or more generally continuous prompt tuning, has become an essential paradigm of parameter-efficient transfer learning. Using a large pre-trained language model (PLM)…
cs.LG2022★ 1 cited
ISTRBoost: Importance Sampling Transfer Regression using Boosting
Shrey Gupta, Jianzhao Bi, Yang Liu +1
Current Instance Transfer Learning (ITL) methodologies use domain adaptation and sub-space transformation to achieve successful transfer learning. However, these methodologies, in…