3 citations · 7 across the 5 of their papers we have counts for
5 papers
Gradient-Based Adversarial and Out-of-Distribution Detection
Jinsol Lee, Mohit Prabhushankar, Ghassan AlRegib
We propose to utilize gradients for detecting adversarial and out-of-distribution samples. We introduce confounding labels -- labels that differ from normal labels seen during trai…
Patient Aware Active Learning for Fine-Grained OCT Classification
Yash-yee Logan, Ryan Benkert, Ahmad Mustafa +2
This paper considers making active learning more sensible from a medical perspective. In practice, a disease manifests itself in different forms across patient cohorts. Existing fr…
DECAL: DEployable Clinical Active Learning
Yash-yee Logan, Mohit Prabhushankar, Ghassan AlRegib
Conventional machine learning systems that operate on natural images assume the presence of attributes within the images that lead to some decision. However, decisions in medical d…
Volumetric Supervised Contrastive Learning for Seismic Semantic Segmentation
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
In seismic interpretation, pixel-level labels of various rock structures can be time-consuming and expensive to obtain. As a result, there oftentimes exists a non-trivial quantity…
Explanatory Paradigms in Neural Networks
Ghassan AlRegib, Mohit Prabhushankar
In this article, we present a leap-forward expansion to the study of explainability in neural networks by considering explanations as answers to abstract reasoning-based questions.…