The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices

23 February 2022

Papers citing "The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices"

7 / 7 papers shown

Title
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models Ruiyang Qin Yuting Hu Zheyu Yan Jinjun Xiong Ahmed Abbasi Yiyu Shi 8 5 0 09 Feb 2024
U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators Zheyu Yan X. Hu Yiyu Shi 11 1 0 11 Dec 2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks Xiaoru Xie Hongwu Peng Amit Hasan Shaoyi Huang Jiahui Zhao Haowen Fang Wei Zhang Tong Geng O. Khan Caiwen Ding GNN 25 30 0 22 Aug 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference Hongwu Peng Shaoyi Huang Tong Zhou Yukui Luo Chenghong Wang ... Tony Geng Kaleel Mahmood Wujie Wen Xiaolin Xu Caiwen Ding OffRL 32 38 0 20 Aug 2023
On-Device Unsupervised Image Segmentation Junhuan Yang Yi Sheng Yu-zhao Zhang Weiwen Jiang Lei Yang 14 12 0 24 Feb 2023
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016