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Network Pruning for Low-Rank Binary Indexing., , , , and . CoRR, (2019)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)FleXOR: Trainable Fractional Quantization., , , , , and . NeurIPS, (2020)Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models., , , , , , , , and . MLSys, mlsys.org, (2023)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)Integrated hybrid systems modeling and simulation methodology based on HDEVS formalism., , , and . SummerSim, page 52. Society for Computer Simulation International / ACM DL, (2013)Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models., , , , , and . ICLR, OpenReview.net, (2024)