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ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining.

, , , , и . ICCAD, стр. 1-8. ACM, (2019)

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Vojtech Buzek

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Automated Search-Based Functional Approximation for Digital Circuits., , и . Approximate Circuits, Springer, (2019)Efficient On-Chip Randomness Testing Utilizing Machine Learning Techniques., , , , и . IEEE Trans. Very Large Scale Integr. Syst., 27 (12): 2734-2744 (2019)ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining., , , , и . ICCAD, стр. 1-8. ACM, (2019)Satisfiability Solving Meets Evolutionary Optimisation in Designing Approximate Circuits., , , и . SAT, том 12178 из Lecture Notes in Computer Science, стр. 481-491. Springer, (2020)RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks., , , , , и . IEEE Access, (2022)ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations., , , и . DATE, стр. 1205-1210. IEEE, (2020)autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components., , , , и . DAC, стр. 123. ACM, (2019)ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers., , , и . DATE, стр. 1-2. IEEE, (2023)Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification., , , и . GECCO, стр. 1427-1435. ACM, (2023)ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems., , , , и . DAC, стр. 1-6. IEEE, (2020)