Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective

27 January 2023

Papers citing "Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective"

7 / 7 papers shown

Title
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Shaohan Yu Pan Deng Yu Zhao J. Liu Ziáng Wang MoE 182 0 0 30 Nov 2024
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization Gengyu Lin Zhen-Qiang Zhou Qihe Huang Kuo Yang Shifen Cheng Yang Wang AI4TS 32 1 0 19 Mar 2024
Graph Neural Controlled Differential Equations for Traffic Forecasting Jeongwhan Choi Hwangyong Choi JeeHyun Hwang Noseong Park BDL AI4TS 90 265 1 07 Dec 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 100 229 0 21 Apr 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 108 227 0 18 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,885 0 14 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019