4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Machine-Created Universal Language for Cross-lingual Transfer
Yaobo Liang, Quanzhi Zhu, Junhe Zhao +1
There are two primary approaches to addressing cross-lingual transfer: multilingual pre-training, which implicitly aligns the hidden representations of various languages, and trans…
cs.LG2022★ 4 cited
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zheng He, Zeke Xie, Quanzhi Zhu +1
People usually believe that network pruning not only reduces the computational cost of deep networks, but also prevents overfitting by decreasing model capacity. However, our work…