Hardware-Centric AutoML for Mixed-Precision Quantization

Hardware-Centric AutoML for Mixed-Precision Quantization

11 August 2020

Kuan-Chieh Wang

Zhijian Liu

Song Han

Papers citing "Hardware-Centric AutoML for Mixed-Precision Quantization"

7 / 7 papers shown

Title
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer Xuanyao Chen Zhijian Liu Haotian Tang Li Yi Hang Zhao Song Han ViT 31 47 0 30 Mar 2023
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 53 3 0 22 Aug 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution Zhijian Liu Haotian Tang Shengyu Zhao Kevin Shao Song Han 3DPC 21 40 0 25 Apr 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation Ahmad Shawahna S. M. Sait A. El-Maleh Irfan Ahmad MQ 22 7 0 22 Mar 2022
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Haotian Tang Zhijian Liu Shengyu Zhao Chengyue Wu Ji Lin Hanrui Wang Song Han 3DPC 44 632 0 31 Jul 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 517 0 09 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016