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Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?, , и . ISCAS, стр. 1-5. IEEE, (2018)Impact of temporal subsampling on accuracy and performance in practical video classification., , , , , и . EUSIPCO, стр. 996-1000. IEEE, (2017)Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile., , , , и . CoRR, (2022)CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency., , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (4): 1020-1033 (2022)InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting., , , , и . DATE, стр. 342-345. IEEE, (2020)Efficient Inference With Model Cascades., , , и . Trans. Mach. Learn. Res., (2023)Extended Bit-Plane Compression for Convolutional Neural Network Accelerators., и . CoRR, (2018)Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS., , , , , , и . ISCAS, стр. 1-5. IEEE, (2018)EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces., , , , , и . SMC, стр. 2958-2965. IEEE, (2020)Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor., , , , и . CoRR, (2023)