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Accurate Post Training Quantization With Small Calibration Sets.

, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4466-4475. PMLR, (2021)

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Accurate Post Training Quantization With Small Calibration Sets., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4466-4475. PMLR, (2021)Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1, , , , and . arXiv preprint arXiv:1602.02830, (2016)Minimum Variance Unbiased N: M Sparsity for the Neural Gradients., , , and . ICLR, OpenReview.net, (2023)Playing SNES in the Retro Learning Environment., , and . ICLR (Workshop), OpenReview.net, (2017)Train longer, generalize better: closing the generalization gap in large batch training of neural networks., , and . NIPS, page 1731-1741. (2017)Binarized Neural Networks., , and . CoRR, (2016)Fix your classifier: the marginal value of training the last weight layer., , and . ICLR (Poster), OpenReview.net, (2018)Augment Your Batch: Improving Generalization Through Instance Repetition., , , , , and . CVPR, page 8126-8135. Computer Vision Foundation / IEEE, (2020)The Knowledge Within: Methods for Data-Free Model Compression., , , and . CVPR, page 8491-8499. Computer Vision Foundation / IEEE, (2020)Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators., , and . ICLR, OpenReview.net, (2024)