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Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity., , , , , , and . CoRR, (2021)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)Structured Compression by Weight Encryption for Unstructured Pruning and Quantization., , , , , and . CVPR, page 1906-1915. Computer Vision Foundation / IEEE, (2020)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)Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks., , , , , and . CoRR, (2019)Modulating Regularization Frequency for Efficient Compression-Aware Model Training., , , , , and . CoRR, (2021)nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models., , , , , and . CoRR, (2022)FleXOR: Trainable Fractional Quantization., , , , , and . NeurIPS, (2020)DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation., , , , , , and . CoRR, (2024)