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FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture.

, , , , , , , , and . ACM Trans. Design Autom. Electr. Syst., 26 (6): 44:1-44:24 (2021)

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Evaluating Efficient Performance Estimators of Neural Architectures., , , , , , and . NeurIPS, page 12265-12277. (2021)Exploring the Granularity of Sparsity in Convolutional Neural Networks., , , , , , and . CVPR Workshops, page 1927-1934. IEEE Computer Society, (2017)Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks., , , , , , and . ISVLSI, page 482-487. IEEE Computer Society, (2018)Compressed CNN Training with FPGA-based Accelerator., , , , , , and . FPGA, page 189. ACM, (2019)Winograd Algorithm for AdderNet., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6307-6315. PMLR, (2021)DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation., , , , , and . ECCV (3), volume 12348 of Lecture Notes in Computer Science, page 592-607. Springer, (2020)Robust Particle Filtering With State Transition Uncertainties: A Student's t Disturbance Observer-Based Approach., , and . IEEE Trans. Instrum. Meas., (2021)aw_nas: A Modularized and Extensible NAS framework., , , , , , , , , and . CoRR, (2020)Design, Kinematics and Control of a Modular Cable-Driven Manipulator for Fine Manipulation., , , and . ROBIO, page 833-838. IEEE, (2022)FTT-NAS: Discovering Fault-Tolerant Neural Architecture., , , , , and . ASP-DAC, page 211-216. IEEE, (2020)