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Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?

, , and . ISCAS, page 1-5. IEEE, (2018)

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Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?, , and . ISCAS, page 1-5. IEEE, (2018)Impact of temporal subsampling on accuracy and performance in practical video classification., , , , , and . EUSIPCO, page 996-1000. IEEE, (2017)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)Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor., , , , and . CoRR, (2023)EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces., , , , , and . SMC, page 2958-2965. IEEE, (2020)Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations., , , , , , and . NIPS, page 1141-1151. (2017)CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data., , and . ICDSC, page 1-8. ACM, (2017)