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Retraining-Based Iterative Weight Quantization for Deep Neural Networks, и . (2018)cite arxiv:1805.11233Comment: 12 pages, 13 figures, NIPS 2018 (32nd Annual Conference on Neural Information Processing Systems) submission.DeepTwist: Learning Model Compression via Occasional Weight Distortion., , и . CoRR, (2018)Optimal wavelength provisioning with fuzzy logic control for power saving in TWDM-PONs., , и . ICTC, стр. 926-929. IEEE, (2016)A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference., , , , , , , , , и 21 other автор(ы). VLSI Circuits, стр. 35-36. IEEE, (2018)LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices., , , , , , и . CoRR, (2024)TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning., , , , , , и . DAC, стр. 1-6. IEEE, (2023)Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization., , , , , , и . CoRR, (2021)Fast management of ONUs based on broadcast control channel for a 10-gigabit-capable passive optical network (XG-PON) system., , , , и . J. Commun. Networks, 15 (5): 538-542 (2013)A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics., , , , , , и . ACSCC, стр. 287-291. IEEE, (2021)Maximum Likelihood Training of Implicit Nonlinear Diffusion Model., , , , , и . NeurIPS, (2022)