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Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets.

, , , , and . AAAI, page 8910-8918. AAAI Press, (2022)

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Bringing Powerful Machine-Learning Systems to Daily-Life Devices via Algorithm-Hardware Co-Design.. VLSI-DAT, page 1. IEEE, (2020)Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks., , , , , , , , and . ICLR, OpenReview.net, (2020)Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference., , , , , , , and . IEEE J. Sel. Top. Signal Process., 14 (4): 623-633 (2020)A Study of BER-Optimal ADC-Based Receiver for Serial Links., , , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 63-I (5): 693-704 (2016)ASTRO: A System for Off-grid Networked Drone Sensing Missions., , , and . ACM Trans. Internet Things, 2 (4): 24:1-24:22 (2021)HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark., , , , , , , , and . CoRR, (2021)GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design., , , , and . HPCA, page 460-474. IEEE, (2022)FBNetV5: Neural Architecture Search for Multiple Tasks in One Run., , , , , , , , and . CoRR, (2021)E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving., , , , , , and . CoRR, (2019)LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference., , , , , and . CoRR, (2022)