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Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA.

, , , и . CoRR, (2021)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

Другие публикации лиц с тем же именем

Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA., , , и . DATE, стр. 1163-1166. IEEE, (2018)Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception., , , , и . ICRA, стр. 538-544. IEEE, (2020)A System-Level Solution for Low-Power Object Detection., , , , , , , , , и 1 other автор(ы). ICCV Workshops, стр. 2461-2468. IEEE, (2019)LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection., , , , , , , , , и 5 other автор(ы). CoRR, (2024)$A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , и . ICLR, OpenReview.net, (2023)A2Q: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , и . CoRR, (2023)GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks., , , и . NeurIPS, (2022)MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization., , , , , , , и . CoRR, (2023)Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA., , , и . CoRR, (2021)EBERT: Efficient BERT Inference with Dynamic Structured Pruning., , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 4814-4823. Association for Computational Linguistics, (2021)