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Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks.

, , , , and . ARC, volume 12083 of Lecture Notes in Computer Science, page 3-13. Springer, (2020)

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High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks., , , , and . CoRR, (2021)A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA., , , , , , , and . FPT, page 14-21. IEEE, (2018)Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator., , , , , , and . ASP-DAC, page 250-255. IEEE, (2022)Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations., , and . DAC, page 325-330. ACM, (2022)Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations., , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (12): 3387-3399 (2022)MIMMO: Multi-Input Massive Multi-Output Neural Network., and . CVPR Workshops, page 4564-4569. IEEE, (2023)SAE: Single Architecture Ensemble Neural Networks., , and . CoRR, (2024)Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks., , , , and . ARC, volume 12083 of Lecture Notes in Computer Science, page 3-13. Springer, (2020)On the effects of quantisation on model uncertainty in Bayesian neural networks., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 929-938. AUAI Press, (2021)An Online Learning Method for Microgrid Energy Management Control*., , , and . MED, page 263-268. IEEE, (2023)