2 papers
cs.LG2025
AdaGradSelect: An adaptive gradient-guided layer selection method for efficient fine-tuning of SLMs
Anshul Kumar, Gagan Raj Gupta, Manisha Chawla
Large Language Models (LLMs) can perform many NLP tasks well, but fully fine-tuning them is expensive and requires a lot of memory. Parameter-Efficient Fine-Tuning (PEFT) methods s…
cs.CV2024
PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels
Aayushman, Hemanth Gaddey, Vidhi Mittal +2
Deep learning models have achieved great success in automating skin lesion diagnosis. However, the ethnic disparity in these models' predictions needs to be addressed before deploy…