output
20132020
most citedSemantic Robustness of Models of Source Code

76 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 16 cited

Post-Training Piecewise Linear Quantization for Deep Neural Networks

Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz +3

Quantization plays an important role in the energy-efficient deployment of deep neural networks on resource-limited devices. Post-training quantization is highly desirable since it…

cs.LG2020★ 76 cited

Semantic Robustness of Models of Source Code

Goutham Ramakrishnan, Jordan Henkel, Zi Wang +3

Deep neural networks are vulnerable to adversarial examples - small input perturbations that result in incorrect predictions. We study this problem for models of source code, where…