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Reducing Underflow in Mixed Precision Training by Gradient Scaling., , , и . IJCAI, стр. 2922-2928. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations., , , и . FPL, стр. 235-242. IEEE, (2022)Towards In-Circuit Tuning of Deep Learning Designs., , , , и . ICCAD, стр. 1-6. ACM, (2019)Learning Grouped Convolution for Efficient Domain Adaptation., и . CoRR, (2018)Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform., , , , , , , , , и 4 other автор(ы). SmartCom, том 11344 из Lecture Notes in Computer Science, стр. 87-96. Springer, (2018)Efficient Structured Pruning and Architecture Searching for Group Convolution., и . ICCV Workshops, стр. 1961-1970. IEEE, (2019)Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going., , , , , , , и . ACM Comput. Surv., 52 (2): 40:1-40:39 (2019)Intrusion Detection Based on GA-XGB Algorithm., , и . DMBD (1), том 1453 из Communications in Computer and Information Science, стр. 150-157. Springer, (2021)A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks., , и . BMC Genomics, 14 (S-1): S4 (2013)Adaptive Loss Scaling for Mixed Precision Training., , и . CoRR, (2019)