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MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.

V. Reddi, D. Kanter, P. Mattson, J. Duke, T. Nguyen, R. Chukka, K. Shiring, K. Tan, M. Charlebois, W. Chou, M. El-Khamy, J. Hong, T. John, C. Trinh, M. Buch, M. Mazumder, R. Markovic, T. Atta fosu, F. Çakir, M. Charkhabi, X. Chen, C. Chiang, D. Dexter, T. Heo, G. Schmuelling, M. Shabani, and D. Zika. MLSys, mlsys.org, (2022)

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Gustav Kanter

Ulrike Kanter

Maria Kanter

Helmuth Kanter

Hermann Kanter

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MLPerf Tiny Benchmark.C. Banbury, V. Reddi, P. Torelli, N. Jeffries, C. Király, J. Holleman, P. Montino, D. Kanter, P. Warden, D. Pau and 9 other author(s). NeurIPS Datasets and Benchmarks, (2021)When Moore Just Isn't Enough: Scaling ML in the Datacenter.D. Kanter. IPDPS Workshops, page 1043. IEEE, (2022)Federated benchmarking of medical artificial intelligence with MedPerf.A. Karargyris, R. Umeton, M. Sheller, A. Aristizabal, J. George, A. Wuest, S. Pati, H. Kassem, M. Zenk, U. Baid and 64 other author(s). Nat. Mac. Intell., 5 (7): 799-810 (July 2023)The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage.D. Galvez, G. Diamos, J. Torres, K. Achorn, J. Cerón, A. Gopi, D. Kanter, M. Lam, M. Mazumder, and V. Reddi. NeurIPS Datasets and Benchmarks, (2021)MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.V. Reddi, D. Kanter, P. Mattson, J. Duke, T. Nguyen, R. Chukka, K. Shiring, K. Tan, M. Charlebois, W. Chou and 17 other author(s). MLSys, mlsys.org, (2022)Changing Conceptual Ecologies with Task-structured Science Curricula.D. Kanter, B. Sherin, and V. Lee. ICLS, International Society of the Learning Sciences, (2006)Implementing what we know about learning in a middle-school curriculum for widespread dissemination: the project-based inquiry science (PBIS) story.J. Kolodner, M. Starr, D. Edelson, B. Hug, D. Kanter, J. Krajcik, J. Lancaster, T. Laster, J. Leimberer, B. Reiser and 4 other author(s). ICLS (3), page 274-281. International Society of the Learning Sciences, (2008)MLPerf Inference Benchmark.V. Reddi, C. Cheng, D. Kanter, P. Mattson, G. Schmuelling, C. Wu, B. Anderson, M. Breughe, M. Charlebois, W. Chou and 37 other author(s). ISCA, page 446-459. IEEE, (2020)Multilingual Spoken Words Corpus.M. Mazumder, S. Chitlangia, C. Banbury, Y. Kang, J. Ciro, K. Achorn, D. Galvez, M. Sabini, P. Mattson, D. Kanter and 4 other author(s). NeurIPS Datasets and Benchmarks, (2021)The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World.W. Rojas, S. Diamos, K. Kini, D. Kanter, V. Reddi, and C. Coleman. NeurIPS, (2022)

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Disambiguation of "Kanter, David"

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MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.

Please choose a person to relate this publication to

Gustav Kanter

Ulrike Kanter

Maria Kanter

Helmuth Kanter

Hermann Kanter

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kanter, David"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.

Please choose a person to relate this publication to

Gustav Kanter

Ulrike Kanter

Maria Kanter

Helmuth Kanter

Hermann Kanter

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI.