Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

Splitting multi-label data in a balanced manner is a non-trivial task which has some subtle complexities. In this blog post, I review several algorithm implementations and attempt to find the best…

Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

OneLabeler: A Flexible System for Building Data Labeling Tools

Creating a balanced multi-label dataset for machine learning, by Adam K, GumGum Tech Blog

How to Train a Fine-Grained Multilabel Classification Model on Noisy Data

How to Train a Fine-Grained Multilabel Classification Model on Noisy Data

PDF) Explaining the Performance of Multi-label Classification Methods with Data Set Properties

Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI

An introduction to MultiLabel classification - GeeksforGeeks

Creating a balanced multi-label dataset for machine learning, by Adam K, GumGum Tech Blog

A viable framework for semi-supervised learning on realistic dataset

Imbalanced Multi-Label Classification Balanced Weights May Not Improve Your Model Performance

4. Training Data - Designing Machine Learning Systems [Book]

Multi-label classification with weak labels by learning label correlation and label regularization

Imbalance multi-label data learning with label specific features - ScienceDirect