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'Amnesia' - Towards Machine Learning Models That Can Forget User Data Very Fast

Efficient Incremental Cooccurrence Analysis for Item-Based Collaborative Filtering

Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data

DEEM 2019: Workshop on Data Management for End-to-End Machine Learning

Differential Data Quality Verification on Partitioned Data

Unit Testing Data with Deequ

Data-Related Challenges in End-to-End Machine Learning

Deequ - Data Quality Validation for Machine Learning Pipelines

Deep Learning for Missing Value Imputation in Tables with Non-Numerical Data

Benchmarking Distributed Data Processing Systems for Machine Learning Workloads