| Outlier suppression: Pushing the limit of low-bit transformer language models X Wei, Y Zhang, X Zhang, R Gong, S Zhang, Q Zhang, F Yu, X Liu Advances in Neural Information Processing Systems 35, 17402-17414, 2022 | 130 | 2022 |
| Outlier suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling X Wei, Y Zhang, Y Li, X Zhang, R Gong, J Guo, X Liu arXiv preprint arXiv:2304.09145, 2023 | 106 | 2023 |
| Diversifying sample generation for accurate data-free quantization X Zhang, H Qin, Y Ding, R Gong, Q Yan, R Tao, Y Li, F Yu, X Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 104 | 2021 |
| Distribution-sensitive information retention for accurate binary neural network H Qin, X Zhang, R Gong, Y Ding, Y Xu, X Liu International Journal of Computer Vision 131 (1), 26-47, 2023 | 70 | 2023 |
| Diverse sample generation: Pushing the limit of generative data-free quantization H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 42 | 2023 |
| Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization H Qin, Y Ding, X Zhang, J Wang, X Liu, J Lu arXiv preprint arXiv:2109.00212, 2021 | 8 | 2021 |
| Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection Y Fan, X Wei, R Gong, Y Ma, X Zhang, Q Zhang, X Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 11936 …, 2024 | 1 | 2024 |
| Diversifying Sample Generation for Accurate Data-Free Quantization Supplemental Material Q Yan, R Tao, Y Li, F Yu, X Liu | | |
