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A fully automated technique for constructing FSM abstractions of non-ideal latches in communication systems., , , , , and . ICASSP, page 5289-5292. IEEE, (2012)Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5359-5368. PMLR, (2018)Drawing early-bird tickets: Towards more efficient training of deep networks., , , , , , , , and . CoRR, (2019)RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms., , , , , , , , and . ACM J. Emerg. Technol. Comput. Syst., 18 (2): 29:1-29:25 (2022)Memory-Based Computing for Energy-Efficient AI: Grand Challenges., , , , , and . VLSI-SoC, page 1-8. IEEE, (2023)A Framework for Neural Network Inference on FPGA-Centric SmartNICs., , , , , , , , and . FPL, page 1-8. IEEE, (2022)I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization., , , , , , , , and . MICRO, page 1051-1063. ACM, (2021)ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention., , , , , , and . HPCA, page 415-428. IEEE, (2023)MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation., , , , and . AAAI, page 8962-8970. AAAI Press, (2022)G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency., , , , , and . ICCAD, page 1-9. IEEE, (2021)