4 papers
Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
Mohammed Amer, Mohamed A. Suliman, Tu Bui +2
Healthcare applications are inherently multimodal, benefiting greatly from the integration of diverse data sources. However, the modalities available in clinical settings can vary…
X2Graph for Cancer Subtyping Prediction on Biological Tabular Data
Tu Bui, Mohamed Suliman, Aparajita Haldar +2
Despite the transformative impact of deep learning on text, audio, and image datasets, its dominance in tabular data, especially in the medical domain where data are often scarce,…
A Closer Look at Multimodal Representation Collapse
Abhra Chaudhuri, Anjan Dutta, Tu Bui +1
We aim to develop a fundamental understanding of modality collapse, a recently observed empirical phenomenon wherein models trained for multimodal fusion tend to rely only on a sub…
Learning Conditional Invariances through Non-Commutativity
Abhra Chaudhuri, Serban Georgescu, Anjan Dutta
Invariance learning algorithms that conditionally filter out domain-specific random variables as distractors, do so based only on the data semantics, and not the target domain unde…