DiscoverAI, Radiology and Ethics: A Podcast SeriesAvoiding Shortcut Solutions in Machine Learning Models
Avoiding Shortcut Solutions in Machine Learning Models

Avoiding Shortcut Solutions in Machine Learning Models

Update: 2022-03-14
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In this podcast Joshua Robinson discusses his work at MIT and his recent, lead author paper on how contrastive learning might lead to more reliable predictions in AI. Josh’s paper is at the NeurIPS proceedings website:


https://papers.nips.cc/paper/2021/hash/27934a1f19d678a1377c257b9a780e80-Abstract.html.

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Avoiding Shortcut Solutions in Machine Learning Models

Avoiding Shortcut Solutions in Machine Learning Models

Emory University Center for Ethics