6 citations · 15 across the 6 of their papers we have counts for
3 papers · 1 filter
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks
Alexander Braylan, Madalyn Marabella, Omar Alonso +1
Human annotations are vital to supervised learning, yet annotators often disagree on the correct label, especially as annotation tasks increase in complexity. A strategy to improve…
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
Luis Oala, Manil Maskey, Lilith Bat-Leah +35
Drawing from discussions at the inaugural DMLR workshop at ICML 2023 and meetings prior, in this report we outline the relevance of community engagement and infrastructure developm…
Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data
Yiheng Su, Junyi Jessy Li, Matthew Lease
Can we preserve the accuracy of neural models while also providing faithful explanations of model decisions to training data? We propose a "wrapper box'' pipeline: training a neura…