Cracking open the DNN black-box

Author:

Emmons John1,Fouladi Sadjad1,Ananthanarayanan Ganesh2,Venkataraman Shivaram3,Savarese Silvio1,Winstein Keith1

Affiliation:

1. Stanford University, Stanford, CA, USA

2. Microsoft Research, Redmon, WA, USA

3. University of Wisconsin--Madison, Madion, WI, USA

Funder

NSF

Publisher

ACM Press

Reference32 articles.

1. Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, and Matei Zaharia. Noscope: Optimizing neural network queries over video at scale. Proc. VLDB Endow., 10(11):1586--1597, August 2017.

2. Haoyu Zhang, Ganesh Ananthanarayanan, Peter Bodik, Matthai Philipose, Paramvir Bahl, and Michael J. Freedman. Live video analytics at scale with approximation and delay-tolerance. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17), pages 377--392, Boston, MA, March 2017. USENIX Association.

3. Ben Zhang, Xin Jin, Sylvia Ratnasamy, John Wawrzynek, and Edward A. Lee. Awstream: Adaptive wide-area streaming analytics. In Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM '18, pages 236--252, New York, NY, USA, 2018. ACM.

4. Yolo: Real-time object detection. https://pjreddie.com/darknet/yolo/.

5. AWS DeepLens: Deep Learning enabled video camera. https://aws.amazon.com/deeplens/.

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