Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation

5 November 2021

Papers citing "Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation"

9 / 9 papers shown

Title
CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving Hamidreza Mirkhani Behzad Khamidehi Ehsan Ahmadi Fazel Arasteh Mohammed Elmahgiubi Weize Zhang Umar Rajguru Kasra Rezaee 55 0 0 03 Mar 2025
Representation Debiasing of Generated Data Involving Domain Experts Aditya Bhattacharya Simone Stumpf K. Verbert 34 2 0 17 May 2024
Data Scarcity in Recommendation Systems: A Survey Zefeng Chen Wensheng Gan Jiayang Wu Kaixia Hu Hong Lin 18 21 0 08 Dec 2023
CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification Akbar Karimi Lucie Flek CML 17 1 0 01 Jun 2023
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 11 25 0 19 Jun 2021
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations Barry Smyth Mark T. Keane CML 37 26 0 22 Jan 2021
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows C. Ryan Christophe Gúeret D. Berry Medb Corcoran Mark T. Keane Brian Mac Namee 26 6 0 06 Jan 2021
GeCo: Quality Counterfactual Explanations in Real Time Maximilian Schleich Zixuan Geng Yihong Zhang D. Suciu 46 61 0 05 Jan 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020