A Practical Mixed Precision Algorithm for Post-Training Quantization

10 February 2023

Papers citing "A Practical Mixed Precision Algorithm for Post-Training Quantization"

6 / 6 papers shown

Title
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing Nilesh Prasad Pandey Shriniwas Kulkarni David Wang Onat Gungor Flavio Ponzina T. Rosing 41 0 0 08 May 2025
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao Tongcheng Fang Haofeng Huang Enshu Liu Widyadewi Soedarmadji ... Shengen Yan Huazhong Yang Xuefei Ning Xuefei Ning Yu Wang MQ VGen 112 26 0 04 Jun 2024
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference Edouard Yvinec Arnaud Dapogny Kévin Bailly Xavier Fischer AAML 13 2 0 09 Aug 2023
Overcoming Oscillations in Quantization-Aware Training Markus Nagel Marios Fournarakis Yelysei Bondarenko Tijmen Blankevoort MQ 111 101 0 21 Mar 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014