2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals
Ning Ding, Ce Zhang, Azim Eskandarian
A lack of driver's vigilance is the main cause of most vehicle crashes. Electroencephalography(EEG) has been reliable and efficient tool for drivers' drowsiness estimation. Even th…
cs.LG2022
A Roadmap for Big Model
Sha Yuan, Hanyu Zhao, Shuai Zhao +97
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the c…
cs.LG2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Yinghui Li, Ruiyang Liu, ZiHao Zhang +4
Deep neural models have hitherto achieved significant performances on numerous classification tasks, but meanwhile require sufficient manually annotated data. Since it is extremely…