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Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data.
Yaoqing Yang
Ryan Theisen
Liam Hodgkinson
Joseph E. Gonzalez
Kannan Ramchandran
Charles H. Martin
Michael W. Mahoney
Published in:
KDD (2023)
Keyphrases
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model selection
data sets
prior knowledge
cross validation
parameter estimation
test data
bayesian methods
training data
error estimation
learning machines
multivariate regression
statistical inference
bayesian learning
random sampling
incomplete data
classification accuracy
support vector
data mining