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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

, , and . (2015)cite arxiv:1510.00149Comment: Published as a conference paper at ICLR 2016 (oral).

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Trained Ternary Quantization., , , and . ICLR (Poster), OpenReview.net, (2017)A Delay Metric for Video Object Detection: What Average Precision Fails to Tell., , and . ICCV, page 573-582. IEEE, (2019)EIE: Efficient Inference Engine on Compressed Deep Neural Network., , , , , , and . ISCA, page 243-254. IEEE Computer Society, (2016)CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video., , and . CoRR, (2018)Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training., , , , and . CoRR, (2017)Trained Ternary Quantization., , , and . CoRR, (2016)Exploring the Regularity of Sparse Structure in Convolutional Neural Networks., , , , , , and . CoRR, (2017)Exploring the Granularity of Sparsity in Convolutional Neural Networks., , , , , , and . CVPR Workshops, page 1927-1934. IEEE Computer Society, (2017)Real-time object detection towards high power efficiency., , , , , , , , , and 1 other author(s). DATE, page 704-708. IEEE, (2018)Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding, , and . (2015)cite arxiv:1510.00149Comment: Published as a conference paper at ICLR 2016 (oral).