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Approximate Computing: Making Mobile Systems More Efficient., , and . IEEE Pervasive Comput., 14 (2): 9-13 (2015)Exploiting quality-energy tradeoffs with arbitrary quantization: special session paper., , , , and . CODES+ISSS, page 30:1-30:2. ACM, (2017)PEKE, Probabilistic Encryption Key Exchange, 10 Years Later, Including the PEKEv1.25 Specifications.. IACR Cryptology ePrint Archive, (2005)PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research., , , , , and . ReQuEST@ASPLOS, page 7. ACM, (2018)Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomes., , and . BMC Bioinform., (2010)TVM: End-to-End Optimization Stack for Deep Learning., , , , , , , , , and . CoRR, (2018)Relay: A High-Level IR for Deep Learning., , , , , , , , and . CoRR, (2019)Automating Generation of Low Precision Deep Learning Operators., , , and . CoRR, (2018)MATIC: Learning around errors for efficient low-voltage neural network accelerators., , , , , and . DATE, page 1-6. IEEE, (2018)A simple procedure for estimating the false discovery rate., , and . Bioinform., 21 (5): 660-668 (2005)