4 papers
Learning Stable Predictors from Weak Supervision under Distribution Shift
Mehrdad Shoeibi, Elias Hossain, Ivan Garibay +1
Learning from weak, proxy, or relative supervision is common when ground-truth labels are unavailable, but robustness under distribution shift remains poorly understood because the…
Hybrid Diffusion Model for Breast Ultrasound Image Augmentation
Farhan Fuad Abir, Sanjeda Sara Jennifer, Niloofar Yousefi +1
We propose a hybrid diffusion-based augmentation framework to overcome the critical challenge of ultrasound data augmentation in breast ultrasound (BUS) datasets. Unlike convention…
Validating Interpretability in siRNA Efficacy Prediction: A Perturbation-Based, Dataset-Aware Protocol
Zahra Khodagholi, Niloofar Yousefi
Saliency maps are increasingly used as design guidance in siRNA efficacy prediction, yet attribution methods are rarely validated before motivating sequence edits. We introduce a p…
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Nusrat Jahan Prottasha, Asif Mahmud, Md. Shohanur Islam Sobuj +4
Large Language Models (LLMs) are gaining significant popularity in recent years for specialized tasks using prompts due to their low computational cost. Standard methods like prefi…