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DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency.

, , , , , , , and . ISLPED, page 1-6. IEEE, (2021)

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Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search., , , and . CoRR, (2020)O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed., , , , and . ICCAD, page 1-9. IEEE, (2021)ShiftAddNet: A Hardware-Inspired Deep Network., , , , , , , and . NeurIPS, (2020)Review of Business Model Innovation., and . ICEME, page 133-137. ACM, (2019)I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization., , , , , , , , and . MICRO, page 1051-1063. ACM, (2021)A Framework for Neural Network Inference on FPGA-Centric SmartNICs., , , , , , , , and . FPL, page 1-8. IEEE, (2022)DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency., , , , , , , and . ISLPED, page 1-6. IEEE, (2021)GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models., , , , , , , and . ICCAD, page 1-9. IEEE, (2023)G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency., , , , , and . ICCAD, page 1-9. IEEE, (2021)AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs., , , , , , , , , and . FPGA, page 40-50. ACM, (2020)