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Retraining-Based Iterative Weight Quantization for Deep Neural Networks., and . CoRR, (2018)DeepTwist: Learning Model Compression via Occasional Weight Distortion., , and . CoRR, (2018)Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models., , , , , and . CoRR, (2023)No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization., , , , , , , and . CoRR, (2024)BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs., , , , , and . SC, page 95. IEEE/ACM, (2020)Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression., , , , and . ICLR, OpenReview.net, (2022)Learning Low-Rank Approximation for CNNs., , , and . CoRR, (2019)Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity., , , , , , and . CoRR, (2021)Structured Compression by Weight Encryption for Unstructured Pruning and Quantization., , , , , and . CVPR, page 1906-1915. Computer Vision Foundation / IEEE, (2020)Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation., , , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4812-4826. Association for Computational Linguistics, (2020)