Pytorch implementation of 'Explaining text classifiers with counterfactual representations' (Lemberger & Saillenfest, 2024)
-
Updated
Jul 8, 2024 - Python
Pytorch implementation of 'Explaining text classifiers with counterfactual representations' (Lemberger & Saillenfest, 2024)
🛒 Webscraper used to detect bias in Amazon product reviews for a product. Bias is determined through an original and rigorous algorithm, with the goal of producing a new, corrected, product star review from 1 to 5 based only on reviews that are considered to be 'unbiased'.
Code to Bias Correct ICAR output based on Livneh data, using quantile mapping.
A cost-sensitive BERT that handles the class imbalance for the task of biomedical NER.
Magnetic Resonance Imaging data processing pipelines with a strong emphasis on the diffusion weighted MRI (DWI) modality and tractogram estimation
This repository contains the firth bias reduction experiments on the few-shot distribution calibration method conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
Use bootstrap resampling to estimate the sampling distribution of a statistic
Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA
Source code of age-level bias correction
This repository contains the main ResNet backbone experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".
Bias correction method using quantile mapping
Scan your AI/ML models for problems before you put them into production.
Short description for quick search
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
Climate Data Bias Corrector: A tool to bias correct the Global Climate Model (GCM)/ Regional Climate Model (RCM) simulated future climatic daily projections.
A collection of bias correction techniques written in Python - for climate sciences.
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Add a description, image, and links to the bias-correction topic page so that developers can more easily learn about it.
To associate your repository with the bias-correction topic, visit your repo's landing page and select "manage topics."