212 citations · 275 across the 5 of their papers we have counts for
5 papers
Repairing Group-Level Errors for DNNs Using Weighted Regularization
Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney +2
Deep Neural Networks (DNNs) have been widely used in software making decisions impacting people's lives. However, they have been found to exhibit severe erroneous behaviors that ma…
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Ziyuan Zhong, Yuchi Tian, Baishakhi Ray
Deep Neural Networks (DNNs) are being deployed in a wide range of settings today, from safety-critical applications like autonomous driving to commercial applications involving ima…
Code Prediction by Feeding Trees to Transformers
Seohyun Kim, Jinman Zhao, Yuchi Tian +1
We advance the state-of-the-art in the accuracy of code prediction (next token prediction) used in autocomplete systems. First, we report that using the recently proposed Transform…
Testing DNN Image Classifiers for Confusion & Bias Errors
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez +2
Image classifiers are an important component of today's software, from consumer and business applications to safety-critical domains. The advent of Deep Neural Networks (DNNs) is t…
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian, Kexin Pei, Suman Jana +1
Recent advances in Deep Neural Networks (DNNs) have led to the development of DNN-driven autonomous cars that, using sensors like camera, LiDAR, etc., can drive without any human i…