4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training
Antonio Robles-Kelly, Asef Nazari
In this paper, we incorporate the Barzilai-Borwein step size into gradient descent methods used to train deep networks. This allows us to adapt the learning rate using a two-point…
cs.CL2020★ 4 cited
A hybrid deep-learning approach for complex biochemical named entity recognition
Jian Liu, Lei Gao, Sujie Guo +6
Named entity recognition (NER) of chemicals and drugs is a critical domain of information extraction in biochemical research. NER provides support for text mining in biochemical re…