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Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers., , and . CoRR, (2019)Robust navigation with tinyML for autonomous mini-vehicles., , , , , , and . CoRR, (2020)Understanding and Mitigating Memory Interference in FPGA-based HeSoCs., , , and . DATE, page 1335-1340. IEEE, (2022)Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs., , , , , , and . DAC, page 1-6. IEEE, (2023)An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles., , , , and . DATE, page 915-920. IEEE, (2022)A Request for Clarity over the End of Sequence Token in the Self-Critical Sequence Training., , and . ICIAP (1), volume 14233 of Lecture Notes in Computer Science, page 39-50. Springer, (2023)Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers., , , and . IoT Streams/ITEM@PKDD/ECML, volume 1325 of Communications in Computer and Information Science, page 296-308. Springer, (2020)HERO: an open-source research platform for HW/SW exploration of heterogeneous manycore systems., , , , and . ANDARE@PACT, page 5:1-5:6. ACM, (2018)The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs., , , , and . CoRR, (2023)ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning., , and . CoRR, (2022)