A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization

24 July 2023

Papers citing "A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization"

6 / 6 papers shown

Title
Outlier Reduction with Gated Attention for Improved Post-training Quantization in Large Sequence-to-sequence Speech Foundation Models Dominik Wagner Ilja Baumann K. Riedhammer Tobias Bocklet MQ 30 1 0 16 Jun 2024
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference Zhikai Li Qingyi Gu MQ 46 94 0 04 Jul 2022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech Alexis Conneau Min Ma Simran Khanuja Yu Zhang Vera Axelrod Siddharth Dalmia Jason Riesa Clara E. Rivera Ankur Bapna VLM 78 282 0 25 May 2022
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 31 60 0 13 Oct 2021
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang Haotong Qin Yifu Ding Ruihao Gong Qing Yan Renshuai Tao Yuhang Li F. Yu Xianglong Liu MQ 52 94 0 01 Mar 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 669 0 24 Jan 2021