research
∙
05/30/2023
Contextual Vision Transformers for Robust Representation Learning
We present Contextual Vision Transformers (ContextViT), a method for pro...
share
research
∙
04/28/2022
Learning to Split for Automatic Bias Detection
Classifiers are biased when trained on biased datasets. As a remedy, we ...
research
∙
06/15/2021
Learning Stable Classifiers by Transferring Unstable Features
We study transfer learning in the presence of spurious correlations. We ...
research
∙
05/26/2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
We propose Predict then Interpolate (PI), a simple algorithm for learnin...
research
∙
08/16/2019
Few-shot Text Classification with Distributional Signatures
In this paper, we explore meta-learning for few-shot text classification...
research
∙
04/24/2019
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes
PURPOSE: The medical literature relevant to germline genetics is growing...
research
∙
08/28/2018
