We present Contextual Vision Transformers (ContextViT), a method for
pro...
Classifiers are biased when trained on biased datasets. As a remedy, we
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We study transfer learning in the presence of spurious correlations. We
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We propose Predict then Interpolate (PI), a simple algorithm for learnin...
In this paper, we explore meta-learning for few-shot text classification...
PURPOSE: The medical literature relevant to germline genetics is growing...
Attention-based models are successful when trained on large amounts of d...