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Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers., , , , and . ICLR (Workshop), OpenReview.net, (2018)Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM., , , , , and . CoRR, (2019)A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM., , , , , , , , and . CoRR, (2018)StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs., , , , , , , , , and 2 other author(s). IEEE Trans. Neural Networks Learn. Syst., 33 (5): 2259-2273 (2022)Enhance the Visual Representation via Discrete Adversarial Training., , , , , , , , and . NeurIPS, (2022)ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices., , , , , , , , and . ACM Great Lakes Symposium on VLSI, page 501-506. ACM, (2019)A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers., , , , , , and . ECCV (8), volume 11212 of Lecture Notes in Computer Science, page 191-207. Springer, (2018)Brain-inspired reverse adversarial examples., , , , , and . CoRR, (2019)Towards Robust Vision Transformer., , , , , , , and . CVPR, page 12032-12041. IEEE, (2022)Research on AGC Optimal Reference Power in Broadband PLC Multipath Channel., , and . ICCT, page 285-288. IEEE, (2021)