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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)Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA., , , and . CoRR, (2021)Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations., , , , and . DATE, page 971-974. IEEE, (2020)MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization., , , , , , , and . HPCA, page 124-138. IEEE, (2024)On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators., and . J. Mach. Learn. Res., (2023)Optimization of Fuzzy Control Parameters for Wind Farms and Battery Energy Storage Systems Based on an Enhanced Artificial Bee Colony Algorithm under Multi-Source Sensor Data., , , , , and . Sensors, 24 (16): 5115 (August 2024)$A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , and . ICLR, OpenReview.net, (2023)A2Q: Aggregation-Aware Quantization for Graph Neural Networks., , , , , , , and . CoRR, (2023)MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization., , , , , , , and . CoRR, (2023)TBERT: Dynamic BERT Inference with Top-k Based Predictors., , and . DATE, page 1-6. IEEE, (2023)