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Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions., , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 5359-5368. PMLR, (2018)Drawing early-bird tickets: Towards more efficient training of deep networks., , , , , , , , и . CoRR, (2019)A fully automated technique for constructing FSM abstractions of non-ideal latches in communication systems., , , , , и . ICASSP, стр. 5289-5292. IEEE, (2012)GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , и . CoRR, (2021)RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms., , , , , , , , и . ACM J. Emerg. Technol. Comput. Syst., 18 (2): 29:1-29:25 (2022)A Framework for Neural Network Inference on FPGA-Centric SmartNICs., , , , , , , , и . FPL, стр. 1-8. IEEE, (2022)Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing., , , , , , и . CoRR, (2022)SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam., , , , , , и . ICCV, стр. 5148-5157. IEEE, (2021)Memory-Based Computing for Energy-Efficient AI: Grand Challenges., , , , , и . VLSI-SoC, стр. 1-8. IEEE, (2023)G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency., , , , , и . ICCAD, стр. 1-9. IEEE, (2021)