2 papers
cs.CL2026
MixedPEFT: Combining Multiple PEFT Methods with Mixed Objectives for Unsupervised Domain Adaptation
Mohammed Rawhani, Dervis Karaboga, Ozkan Ufuk Nalbantoglu +2
Pre-trained language models struggle when applied to new domains, as full fine-tuning is computationally expensive and prone to catastrophic forgetting. This study addresses this c…
eess.IV2024
Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification
Meryem Altin Karagoz, O. Ufuk Nalbantoglu, Geoffrey C. Fox
Deep learning has proven very promising for interpreting MRI in brain tumor diagnosis. However, deep learning models suffer from a scarcity of brain MRI datasets for effective trai…