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Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , и 2 other автор(ы). CVPR Workshops, стр. 66-75. Computer Vision Foundation / IEEE, (2021)Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs., , , , , , , и . DATE, стр. 706-711. IEEE, (2022)WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration., , , , , , , и . DAC, стр. 1-6. IEEE, (2023)BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices., , , , , и . IPDPS Workshops, стр. 108-115. IEEE, (2021)Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge., , , , , , , , , и 1 other автор(ы). WACV, стр. 53-62. IEEE, (2024)Accelerating and pruning CNNs for semantic segmentation on FPGA., , , , , , , , , и 1 other автор(ы). DAC, стр. 145-150. ACM, (2022)L2PF - Learning to Prune Faster., , , , , , , , и . CVIP (3), том 1378 из Communications in Computer and Information Science, стр. 249-261. Springer, (2020)BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices., , , , и . CoRR, (2021)L2PF - Learning to Prune Faster., , , , , , , , и . CoRR, (2021)BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks., , , , , , , , , и 1 other автор(ы). IntelliSys (1), том 294 из Lecture Notes in Networks and Systems, стр. 148-167. Springer, (2021)