most citedCross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity

19 citations · 19 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 19 cited

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity

Josh Gardner, Renzhe Yu, Quan Nguyen +2

Modern machine learning increasingly supports paradigms that are multi-institutional (using data from multiple institutions during training) or cross-institutional (using models fr…