19 citations · 22 across the 4 of their papers we have counts for
4 papers
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
Liuhui Ding, Dachuan Li, Bowen Liu +5
Uncertainties in Deep Neural Network (DNN)-based perception and vehicle's motion pose challenges to the development of safe autonomous driving vehicles. In this paper, we propose a…
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Hongwei Zhang, Weidong Zou, Hongbo Zhao +4
Adaptive optimization methods have been widely used in deep learning. They scale the learning rates adaptively according to the past gradient, which has been shown to be effective…
A comparative study of neural network techniques for automatic software vulnerability detection
Gaigai Tang, Lianxiao Meng, Shuangyin Ren +3
Software vulnerabilities are usually caused by design flaws or implementation errors, which could be exploited to cause damage to the security of the system. At present, the most c…
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning
Zhongwu Xie, Weipeng Cao, Xizhao Wang +3
Most of the Zero-Shot Learning (ZSL) algorithms currently use pre-trained models as their feature extractors, which are usually trained on the ImageNet data set by using deep neura…