35 citations · 35 across the 4 of their papers we have counts for
4 papers
Fuzzing Automatic Differentiation in Deep-Learning Libraries
Chenyuan Yang, Yinlin Deng, Jiayi Yao +3
Deep learning (DL) has attracted wide attention and has been widely deployed in recent years. As a result, more and more research efforts have been dedicated to testing DL librarie…
A pruning method based on the dissimilarity of angle among channels and filters
Jiayi Yao, Ping Li, Xiatao Kang +1
Convolutional Neural Network (CNN) is more and more widely used in various fileds, and its computation and memory-demand are also increasing significantly. In order to make it appl…
Neural Network Panning: Screening the Optimal Sparse Network Before Training
Xiatao Kang, Ping Li, Jiayi Yao +1
Pruning on neural networks before training not only compresses the original models, but also accelerates the network training phase, which has substantial application value. The cu…
Automated Testing of Image Captioning Systems
Boxi Yu, Zhiqing Zhong, Xinran Qin +3
Image captioning (IC) systems, which automatically generate a text description of the salient objects in an image (real or synthetic), have seen great progress over the past few ye…