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Grow and Prune Compact, Fast, and Accurate LSTMs., , and . CoRR, (2018)ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation., , , , , , , , , and 3 other author(s). CoRR, (2018)Improving Convergence and Simulation Time of Quantum Hydrodynamic Simulation: Application to Extraction of Best 10-nm FinFET Parameter Values., and . IEEE Trans. VLSI Syst., 25 (1): 319-329 (2017)STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods., , and . CoRR, (2019)Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks., , and . CoRR, (2019)FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search., , , , , , , , , and . CoRR, (2018)NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm., , and . CoRR, (2017)FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search., , , , , , , , , and . CVPR, page 10734-10742. Computer Vision Foundation / IEEE, (2019)NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm., , and . IEEE Trans. Computers, 68 (10): 1487-1497 (2019)PinMe: Tracking a Smartphone User around the World., , , and . CoRR, (2018)