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Improving Extreme Low-Bit Quantization With Soft Threshold.

, , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 33 (4): 1549-1563 (April 2023)

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