research
∙
08/24/2023
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
Common explanations for shortcut learning assume that the shortcut impro...
share
research
∙
08/08/2023
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations
In machine learning, incorporating more data is often seen as a reliable...
research
∙
03/22/2023
A dynamic risk score for early prediction of cardiogenic shock using machine learning
Myocardial infarction and heart failure are major cardiovascular disease...
research
∙
10/04/2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
There exist features that are related to the label in the same way acros...
research
∙
12/01/2021
Learning Invariant Representations with Missing Data
Spurious correlations allow flexible models to predict well during train...
research
∙
11/16/2021
Inverse-Weighted Survival Games
Deep models trained through maximum likelihood have achieved state-of-th...
research
∙
06/29/2021
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations
Deep predictive models often make use of spurious correlations between t...
research
∙
02/17/2021
Causal Estimation with Functional Confounders
Causal inference relies on two fundamental assumptions: ignorability and...
research
∙
01/13/2021