91 citations · 140 across the 2 of their papers we have counts for
2 papers
cs.LG2017★ 49 cited
Learning Gradient Descent: Better Generalization and Longer Horizons
Kaifeng Lv, Shunhua Jiang, Jian Li
Training deep neural networks is a highly nontrivial task, involving carefully selecting appropriate training algorithms, scheduling step sizes and tuning other hyperparameters. Tr…
cs.AI2016★ 91 cited
Characterizing Driving Styles with Deep Learning
Weishan Dong, Jian Li, Renjie Yao +3
Characterizing driving styles of human drivers using vehicle sensor data, e.g., GPS, is an interesting research problem and an important real-world requirement from automotive indu…