82 citations · 87 across the 3 of their papers we have counts for
3 papers
cs.CL2019★ 5 cited
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
Wei Ye, Bo Li, Rui Xie +3
In practical scenario, relation extraction needs to first identify entity pairs that have relation and then assign a correct relation class. However, the number of non-relation ent…
cs.LG2018
Deep Dynamic Boosted Forest
Haixin Wang, Xingzhang Ren, Jinan Sun +4
Random forest is widely exploited as an ensemble learning method. In many practical applications, however, there is still a significant challenge to learn from imbalanced data. To…
cs.LG2017★ 82 cited
Maximum Principle Based Algorithms for Deep Learning
Qianxiao Li, Long Chen, Cheng Tai +1
The continuous dynamical system approach to deep learning is explored in order to devise alternative frameworks for training algorithms. Training is recast as a control problem and…