Fairness-aware Class Imbalanced Learning

21 September 2021

Shivashankar Subramanian

Papers citing "Fairness-aware Class Imbalanced Learning"

20 / 20 papers shown

Title
FairDD: Fair Dataset Distillation via Synchronized Matching Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 79 1 0 29 Nov 2024
LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges Chin-Wei Huang Mu-Yi Shen Kuan-Chang Shih Shih-Chih Lin Chi-Yu Chen Po-Chih Kuo 26 0 0 16 Nov 2024
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models Eddie L. Ungless Nikolas Vitsakis Zeerak Talat James Garforth Bjorn Ross Arno Onken Atoosa Kasirzadeh Alexandra Birch 28 1 0 17 Oct 2024
$$\textit{GeoHard}$: Towards Measuring Class-wise Hardness through Modelling Class Semantics$ $\textit{GeoHard}$ : Towards Measuring Class-wise Hardness through Modelling Class Semantics Fengyu Cai Xinran Zhao Hongming Zhang Iryna Gurevych Heinz Koeppl 34 0 0 17 Jul 2024
Balancing the Scales: Reinforcement Learning for Fair Classification Leon Eshuijs Shihan Wang Antske Fokkens FaML 32 0 0 15 Jul 2024
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations Jinfeng Li YueFeng Chen Xiangyu Liu Longtao Huang Rong Zhang Hui Xue AAML 31 0 0 11 Jul 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 35 1 0 28 Feb 2024
Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition Haodong Zhao Ruifang He Mengnan Xiao Jing Xu 110 12 0 23 Feb 2024
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 44 7 0 20 Jan 2024
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice Yicheng Wang Xiaotian Han Lei Yu Na Zou 42 0 0 23 Sep 2023
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives? Nikolas Vitsakis Amit Parekh Tanvi Dinkar Gavin Abercrombie Ioannis Konstas Verena Rieser 51 10 0 10 May 2023
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models Anoop Kadan P Deepak Sahely Bhadra Manjary P.Gangan L. LajishV. 19 2 0 21 Jan 2023
Fairness Increases Adversarial Vulnerability Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 31 6 0 21 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 44 37 0 19 Oct 2022
Systematic Evaluation of Predictive Fairness Xudong Han Aili Shen Trevor Cohn Timothy Baldwin Lea Frermann 29 7 0 17 Oct 2022
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing Sophie Henning William H. Beluch Alexander Fraser Annemarie Friedrich 16 20 0 10 Oct 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh V. Chawla FaML 23 8 0 13 Jul 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 29 28 0 05 May 2022
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting Ilias Chalkidis Anders Søgaard OOD AI4TS 11 29 0 15 Mar 2022
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 95 49 0 21 Sep 2021