2 papers
cs.CL2026
LoRA-Diffusion: Parameter-Efficient Fine-Tuning via Low-Rank Trajectory Decomposition
Iman Khazrak, Narges Nejad, Mohammadhossein Homaei +2
Parameter-efficient fine-tuning methods such as LoRA have transformed the adaptation of large autoregressive language models, enabling task-specific customization with substantiall…
cs.CV2024
Addressing Small and Imbalanced Medical Image Datasets Using Generative Models: A Comparative Study of DDPM and PGGANs with Random and Greedy K Sampling
Iman Khazrak, Shakhnoza Takhirova, Mostafa M. Rezaee +3
The development of accurate medical image classification models is often constrained by privacy concerns and data scarcity for certain conditions, leading to small and imbalanced d…