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FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning., , , , , and . CoRR, (2019)Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning., , , and . CoRR, (2018)UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units., , , , , and . NeurIPS, (2022)FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning., , , , , and . MLSys, mlsys.org, (2019)PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices., , , , , , , , and . CoRR, (2023)Strong data processing inequality in neural networks with noisy neurons and its implications., , , and . ISIT, page 1170-1175. IEEE, (2021)MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers., , , , , , , , and . CoRR, (2020)ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator., , , , , , , , , and . IEEE Micro, 42 (6): 76-87 (2022)FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access., , , , , and . FPL, page 9-16. IEEE, (2021)MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers., , , , , , , , and . MLSys, mlsys.org, (2021)