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Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution.

, and . CoRR, (2017)

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Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution., and . CoRR, (2017)Optimised data-driven terminal iterative learning control based on neural network for distributed parameter systems., , and . Int. J. Autom. Control., 15 (4/5): 463-481 (2021)Design and Dynamic Simulation of Single-arm Inspection Robot System for Transmission Lines., , , , and . ICARM, page 1210-1213. IEEE, (2023)Automatic Designs in Deep Neural Networks.. University of Michigan, USA, (2020)Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution., and . AAAI, page 3675-3682. AAAI Press, (2018)Dynamically Grown Generative Adversarial Networks., , , and . AAAI, page 8680-8687. AAAI Press, (2021)Generative Modeling for Small-Data Object Detection., , , , and . ICCV, page 6072-6080. IEEE, (2019)A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Research on self-incremental expansion method of knowledge base based on deep learning., and . Int. J. Inf. Commun. Technol., 19 (1): 16-30 (2021)A Unified Framework of Surrogate Loss by Refactoring and Interpolation., , and . ECCV (3), volume 12348 of Lecture Notes in Computer Science, page 278-293. Springer, (2020)