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Perform-ML: performance optimized machine learning by platform and content aware customization.

, , , and . DAC, page 20:1-20:6. ACM, (2016)

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DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models., , , , and . ICMR, page 105-113. ACM, (2019)With Shared Microexponents, A Little Shifting Goes a Long Way., , , , , , , , , and 12 other author(s). ISCA, page 83:1-83:13. ACM, (2023)DeepAttest: an end-to-end attestation framework for deep neural networks., , , , and . ISCA, page 487-498. ACM, (2019)Going deeper than deep learning for massive data analytics under physical constraints., , and . CODES+ISSS, page 17:1-17:3. ACM, (2016)DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks., , and . ASPLOS, page 485-497. ACM, (2019)Agent-Oriented Based Enterprise Architecture Implementation Methodology., , , , and . WorldCIST (1), volume 353 of Advances in Intelligent Systems and Computing, page 411-419. Springer, (2015)AgileNet: Lightweight Dictionary-based Few-shot Learning., , , , and . CoRR, (2018)DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models., , and . IACR Cryptol. ePrint Arch., (2018)Perform-ML: performance optimized machine learning by platform and content aware customization., , , and . DAC, page 20:1-20:6. ACM, (2016)SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing., , , , , , and . ICCAD, page 1-8. ACM, (2019)