Fairness-Aware Online Meta-learning

21 August 2021

Papers citing "Fairness-Aware Online Meta-learning"

20 / 20 papers shown

Title
MLDGG: Meta-Learning for Domain Generalization on Graphs Q. Tian Chen Zhao Minglai Shao Wenjun Wang Yujie Lin Dong Li OOD AI4CE 82 1 0 19 Nov 2024
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization Kai Jiang Chen Zhao Haoliang Wang Feng Chen OOD FedML 25 3 0 02 Nov 2024
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously Dong Li Chen Zhao Minglai Shao Wenjun Wang OOD FaML 19 2 0 18 Aug 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning Vanshaj Khattar Yuhao Ding Bilgehan Sel Javad Lavaei Ming Jin OffRL 19 12 0 26 May 2024
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness Chengli Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen 16 5 0 19 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 10 8 0 02 Feb 2024
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously Chengli Zhao Kai Jiang Xintao Wu Haoliang Wang Latifur Khan Christan Earl Grant Feng Chen OOD 11 4 0 23 Nov 2023
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments Yujie Lin Chen Zhao Minglai Shao Baoluo Meng Xujiang Zhao Haifeng Chen 6 3 0 22 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 11 2 0 31 Aug 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng R. Li FaML AI4TS 24 2 0 23 Aug 2023
Towards Fair Disentangled Online Learning for Changing Environments Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Christan Earl Grant Feng Chen 14 15 0 31 May 2023
Open Set Action Recognition via Multi-Label Evidential Learning Chen Zhao Dawei Du A. Hoogs Christopher Funk EDL 12 23 0 27 Feb 2023
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 13 3 0 14 Nov 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 26 159 0 14 Jul 2022
Comprehensive Fair Meta-learned Recommender System Tianxin Wei Jingrui He FedML FaML OffRL 17 38 0 09 Jun 2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen CLL 41 21 0 20 May 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 6 7 0 01 Mar 2022
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 8 10 0 13 Nov 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 664 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017