1 citations · 1 across the 3 of their papers we have counts for
4 papers
Not Another Text Benchmark: Putting the "Visual" Back in Visual Question Answering for Large Video Models
Rwiddhi Chakraborty, Yinong, Yinong Oliver Wang +9
Large video models have exhibited impressive performance on a wide range of visual question answering tasks, owing to the rise of powerful, pretrained text and vision encoders. The…
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Gabriel Y. Arteaga, Marius Aasan, Rwiddhi Chakraborty +4
Prototypical self-supervised learning methods consistently suffer from partial prototype collapse, where multiple prototypes converge to nearly identical representations. This unde…
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal FDG PET imaging
Christian Salomonsen, Luigi T Luppino, Fredrik Aspheim +7
Dynamic positron emission tomography (PET) and kinetic modeling are pivotal in advancing tracer development research in small animal studies. Accurate kinetic modeling requires pre…
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
Rwiddhi Chakraborty, Adrian Sletten, Michael Kampffmeyer
Group robustness strategies aim to mitigate learned biases in deep learning models that arise from spurious correlations present in their training datasets. However, most existing…