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Post-training Piecewise Linear Quantization for Deep Neural Networks.

, , , , , and . ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 69-86. Springer, (2020)

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Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators., , , , , and . J. Syst. Archit., (2022)A Fast Post-Training Pruning Framework for Transformers., , , , , and . NeurIPS, (2022)Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC., , , , , , , , , and 13 other author(s). ISCA, page 15-28. IEEE, (2021)Resiliency in Elemental Computing.. ARC, volume 5453 of Lecture Notes in Computer Science, page 2. Springer, (2009)PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems., , , , , , , , , and 1 other author(s). CoRR, (2023)MaiT: Leverage Attention Masks for More Efficient Image Transformers., , and . CoRR, (2022)Learned Token Pruning for Transformers., , , , , and . CoRR, (2021)SaiT: Sparse Vision Transformers through Adaptive Token Pruning., , and . CoRR, (2022)Design Space Exploration of Sparse Accelerators for Deep Neural Networks., , , , , and . CoRR, (2021)Post-training Piecewise Linear Quantization for Deep Neural Networks., , , , , and . ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 69-86. Springer, (2020)