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07/13/2023
A Causal Framework to Unify Common Domain Generalization Approaches
Domain generalization (DG) is about learning models that generalize well...
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05/20/2023
Model Debiasing via Gradient-based Explanation on Representation
Machine learning systems produce biased results towards certain demograp...
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05/13/2023
Contrastive Domain Generalization via Logit Attribution Matching
Domain Generalization (DG) is an important open problem in machine learn...
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09/06/2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction
There is a rising need for computational models that can complementarily...
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09/16/2019
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning
Despite deep convolutional neural networks boost the performance of imag...
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07/27/2018