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Bridging the Generalization Gap: Training Robust Models on Confounded Biological Data
Statistical learning on biological data can be challenging due to confounding variables in sample collection and processing.
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis
These effects include both technical effects, such as variation across batches from instrument noise or sample processing, or institution-specific differences in sample acquisition and physical handling, as well as biological effects arising from true but irrelevant differences in the biology of each sample, such as age biases in diseases.
Speech recognition for medical conversations
We explored both CTC and LAS systems for building speech recognition models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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