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Conference and Workshop Papers
- 2022
[c3]Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Tom St. John, Cindy Trinh, Michael Buch, Mark Mazumder, Relja Markovic, Thomas Atta-fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Cheng-Ming Chiang, Dave Dexter, Terry Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika:
MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. MLSys 2022- 2014
- [c2]Masoud Charkhabi:
Adjustments to propensity score matching for network structures. ASONAM 2014: 628-633 - 2013
- [c1]Masoud Charkhabi, Tarundeep Dhot:
Visual Clustering for Large Scale Commercial Enterprises. IV 2013: 589-590
Informal and Other Publications
- 2020
- [i1]Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Michael Buch, Cindy Trinh, Thomas Atta-fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika:
MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. CoRR abs/2012.02328 (2020)
Coauthor Index
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