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CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency.

, , , and . CoRR, (2020)

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Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?, , and . ISCAS, page 1-5. IEEE, (2018)CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (4): 1020-1033 (2022)Impact of temporal subsampling on accuracy and performance in practical video classification., , , , , and . EUSIPCO, page 996-1000. IEEE, (2017)Towards Edge-Aware Spatio-Temporal Filtering in Real-Time., , , , , and . IEEE Trans. Image Process., 27 (1): 265-280 (2018)Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile., , , , and . CoRR, (2022)InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting., , , , and . DATE, page 342-345. IEEE, (2020)Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS., , , , , , and . ISCAS, page 1-5. IEEE, (2018)Extended Bit-Plane Compression for Convolutional Neural Network Accelerators., and . CoRR, (2018)Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS., , , , , , and . CoRR, (2017)FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things., , , and . IEEE Internet Things J., 7 (5): 4403-4417 (2020)