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Found 3 papers, 1 papers with code
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
Automated slicing aims to identify subsets of evaluation data where a trained model performs anomalously.
Picket: Guarding Against Corrupted Data in Tabular Data during Learning and Inference
Picket is designed as a plugin that can increase the robustness of any machine learning pipeline.
On Robust Mean Estimation under Coordinate-level Corruption
We study the problem of robust mean estimation and introduce a novel Hamming distance-based measure of distribution shift for coordinate-level corruptions.
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