• Krishnan et al 2017 - BoostClean: Automated Error Detection and Repair for Machine Learning (searched “data cleaning ensembling machine learning” on Google Scholar)
• 2017 - Data Quality Considerations for Big Data and Machine Learning: Going Beyond Data Cleaning and Transformations
• Liu & Guo 2020 - Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates

• Book chapter: Ch 4 - Data Validation Talks about TensorFlow Data Validation (TFDV)
• Breck et al 2019 - Data Validation for Machine Learning

(from here)