activity
20122026
most citedA critical look at the current train/test split in machine learning

43 citations · 125 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.LG2020

LINDT: Tackling Negative Federated Learning with Local Adaptation

Hong Lin, Lidan Shou, Ke Chen +2

Federated Learning (FL) is a promising distributed learning paradigm, which allows a number of data owners (also called clients) to collaboratively learn a shared model without dis…

cs.CL2020★ 1 cited

BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention

Zhebin Zhang, Sai Wu, Dawei Jiang +1

BERT-enhanced neural machine translation (NMT) aims at leveraging BERT-encoded representations for translation tasks. A recently proposed approach uses attention mechanisms to fuse…