4 papers
Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection
Shreen Gul, Mohamed Elmahallawy, Ardhendu Tripathy +1
Deep learning models are increasingly deployed in safety-critical applications, where reliable out-of-distribution (OOD) detection is essential to ensure robustness. Existing metho…
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
Shreen Gul, Mohamed Elmahallawy, Sanjay Madria +1
Machine learning models are increasingly being utilized across various fields and tasks due to their outstanding performance and strong generalization capabilities. Nonetheless, th…
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
Shreen Gul, Mohamed Elmahallawy, Sanjay Madria +1
Deep learning (DL) models are popular across various domains due to their remarkable performance and efficiency. However, their effectiveness relies heavily on large amounts of lab…
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models
Navid Seidi, Satyaki Roy, Sajal K. Das +1
The diversity in disease profiles and therapeutic approaches between hospitals and health professionals underscores the need for patient-centric personalized strategies in healthca…