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CAT: Compression-Aware Training for bandwidth reduction., , , , , and . J. Mach. Learn. Res., (2021)Loss aware post-training quantization., , , , , , and . Mach. Learn., 110 (11): 3245-3262 (2021)Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats., , , , and . ICLR, OpenReview.net, (2023)CAT: Compression-Aware Training for bandwidth reduction., , , , , and . CoRR, (2019)Colored Noise Injection for Training Adversarially Robust Neural Networks., , , , , and . CoRR, (2020)Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks., , , , , , and . CoRR, (2019)Logarithmic Unbiased Quantization: Practical 4-bit Training in Deep Learning., , , , and . CoRR, (2021)Feature Map Transform Coding for Energy-Efficient CNN Inference., , , , , , , and . IJCNN, page 1-9. IEEE, (2020)Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks., , , , , and . NeurIPS, page 21099-21111. (2021)Neural gradients are near-lognormal: improved quantized and sparse training., , , , , and . ICLR, OpenReview.net, (2021)