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Found 3 papers, 1 papers with code
Automated Model Selection for Tabular Data
Structured data in the form of tabular datasets contain features that are distinct and discrete, with varying individual and relative importances to the target.
Using Early Readouts to Mediate Featural Bias in Distillation
Deep networks tend to learn spurious feature-label correlations in real-world supervised learning tasks.
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
To address this problem, we propose DITTO (Data-efficient and faIr Targeted subseT selectiOn) that uses Submodular Mutual Information (SMI) functions as acquisition functions to find the most informative set of utterances matching a target accent within a fixed budget.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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