MINDIFF
Mindiff was born with a clear idea: innovation and working out highly differentiated products for the video game industry through the implementation of a business model that meets the needs of a market, entertainment, increasingly complex and constantly evolving.
MINDIFF
Industry:
Video Games
Address:
Málaga, Andalucia, Spain
Country:
Spain
Website Url:
http://www.mindiff.com
Status:
Active
Email Addresses:
[email protected]
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible Apple Mobile Web Clips Icon Content Delivery Network Domain Not Resolving Euro GStatic Google Static Content Wix Visitor Analytics
More informations about "Mindiff"
Applying MinDiff to Improve Model Fairness
Nov 16, 2020 · Improve performance on any underperforming groups by training with MinDiff. Evaluate the new model’s performance on our chosen metric. Our purpose is to demonstrate usage of the MinDiff technique for you with a …See details»
Overview | Responsible AI Toolkit - TensorFlow
May 11, 2022 · MinDiff is a model remediation technique that seeks to equalize two distributions. In practice, it can be used to balance error rates across different slices of your data by …See details»
MinDiff Requirements | Responsible AI Toolkit - TensorFlow
MinDiff Data Preparation | Responsible AI Toolkit - TensorFlow
Jul 19, 2024 · MinDiff works by penalizing the difference in distribution scores between examples in two sets of data. This guide will demonstrate how to choose and construct these additional …See details»
Mindiff - Crunchbase Company Profile & Funding
Mindiff is a creative video game studio team with over 25 years of experience in managing and creating successful video games around the world. We are currently focused on the full …See details»
TensorFlow Releases MinDiff: A Technique For …
Nov 19, 2020 · MinDiff is a model remediation technique that aims to equalize two distributions. It can balance the error rate across the different slices of the user’s data by penalizing distributional differences.See details»
Mitigating Unfair Bias in ML Models with the MinDiff …
Nov 16, 2020 · Today, we are announcing the release of MinDiff, a new regularization technique available in the TF Model Remediation library for effectively and efficiently mitigating unfair biases when training ML models.See details»
Reducing Bias in Machine Learning Models with …
Feb 23, 2023 · MinDiff Model: The MinDiff model is a machine learning approach designed to minimize bias in models based on demographic differences. The model aims to produce equally accurate and fair predictions for all users, …See details»
Model Remediation Case Study | Responsible AI Toolkit - TensorFlow
Jul 19, 2024 · Improve performance on any underperforming groups by training with MinDiff. Evaluate the new model’s performance on our chosen metric. Our purpose is to demonstrate …See details»
Google’s MinDiff aims to mitigate unfair biases in …
Nov 16, 2020 · Google today released MinDiff, a new framework for mitigating (but not eliminating) unfair biases when training AI and machine learning models. The company says MinDiff is the culmination of...See details»
MinDiff Data Preparation - Google Colab
MinDiff works by penalizing the difference in distribution scores between examples in two sets of data. This guide will demonstrate how to choose and construct these additional MinDiff sets as...See details»
[1910.11779] Toward a better trade-off between performance and …
Oct 25, 2019 · In this paper, we introduce a MinDiff framework for regularizing classifiers toward different fairness metrics and analyze a technique with kernel-based statistical dependency tests.See details»
Customizing MinDiffModel | Responsible AI Toolkit - TensorFlow
In most cases, using MinDiffModel directly as described in the "Integrating MinDiff with MinDiffModel" guide is sufficient. However, it is possible that you will need customized …See details»
Google Colab
MinDiff is one of the TensorFlow Model Remediation techniques used to balance error rates (or, in this exercise, the FNR) between demographic groups (Male and Female) by penalizing …See details»
Mindiff » 12.1.33 - Maven Repository
Date and Time Utilities. Assertion Libraries. Validation LibrariesSee details»
Integrating MinDiff with MinDiffModel | Responsible AI Toolkit
There are two steps to integrating MinDiff into your model: Prepare the data (covered in the input preparation guide). Alter or create a model that will integrate MinDiff during training. This guide …See details»
Integrating MinDiff with MinDiffModel | Responsible AI Toolkit
There are two steps to integrating MinDiff into your model: Prepare the data (covered in the input preparation guide ). Alter or create a model that will integrate MinDiff during training.See details»
Mindiff - AndalucÃa Open Future
Mindiff nace con una idea clara: innovar y desarrollar productos altamente diferenciados para la industria del videojuego a través de modelos de negocio que aúnen las necesidades del …See details»
Model Remediation | Responsible AI Toolkit - TensorFlow
May 11, 2022 · The TensorFlow Model Remediation library provides two techniques for addressing bias and fairness issues in your model, MinDiff and Counterfactual Logit Pairing …See details»