MODE: automated neural network model debugging via state differential analysis and input selection

Article Details
Title:	MODE: automated neural network model debugging via state differential analysis and input selection
Article URLs:	https://doi.org/10.1145/3236024.3236082
Alternative Article URLs:
Authors:	Shiqing Ma	Purdue University
	Yingqi Liu	Purdue University
	Wen-Chuan Lee	Purdue University
	Xiangyu Zhang	Purdue University
	Ananth Grama	Purdue University
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	https://github.com/dnnmode/buggymodels
Artifact Correspondence Email Addresses:
NSF Award Numbers:	1748764, 1409668, 1320444
DBLP Key:	conf/sigsoft/MaLLZG18
Author Comments:

ACM Foundations of Software Engineering, FSE 2018