41 citations · 162 across the 47 of their papers we have counts for
5 papers · 1 filter
RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty
William Stevens, Mohit Prabhushankar, Ghassan AlRegib
Epistemic uncertainty estimation is essential for identifying regions where deep learning system outputs may be unreliable. However, existing approaches require computationally exp…
Information Router for Mitigating Modality Dominance in Vision-Language Models
Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib
Vision Language models (VLMs) have demonstrated strong performance across a wide range of benchmarks, yet they often suffer from modality dominance, where predictions rely dispropo…
BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation
Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib
The Segment Anything Model (SAM) has revolutionized interactive segmentation through spatial prompting. While existing work primarily focuses on automating prompts in various setti…
Gradient based Severity Labeling for Biomarker Classification in OCT
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib +2
In this paper, we propose a novel selection strategy for contrastive learning for medical images. On natural images, contrastive learning uses augmentations to select positive and…
A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking
Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar +1
In geophysics, hydrocarbon prospect risking involves assessing the risks associated with hydrocarbon exploration by integrating data from various sources. Machine learning-based cl…