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Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression., , , , and . ICLR, OpenReview.net, (2022)BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs., , , , , and . SC, page 95. IEEE/ACM, (2020)Retraining-Based Iterative Weight Quantization for Deep Neural Networks, and . (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., , and . CoRR, (2018)Modulating Regularization Frequency for Efficient Compression-Aware Model Training., , , , , and . CoRR, (2021)FleXOR: Trainable Fractional Quantization., , , , , and . NeurIPS, (2020)Network Pruning for Low-Rank Binary Indexing., , , , and . CoRR, (2019)Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks., , , , , and . CoRR, (2019)Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization., , , , , , and . CoRR, (2021)AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models., , , , , , , , , and . EMNLP (Findings), page 3288-3305. Association for Computational Linguistics, (2022)