6 citations · 6 across the 3 of their papers we have counts for
3 papers
Low-Rank Adapters Initialization via Gradient Surgery for Continual Learning
Joana Pasquali, Ramiro N. Barros, Arthur S. Bianchessi +7
LoRA is widely adopted for continual fine-tuning of Large Language Models due to its parameter efficiency, modularity across tasks, and compatibility with replay strategies. Howeve…
Inference-Time Machine Unlearning via Gated Activation Redirection
Vinícius Conte Turani, Otávio Parraga, João Vitor Boer Abitante +7
Large Language Models memorize vast amounts of training data, raising concerns regarding privacy, copyright infringement, and safety. Machine unlearning seeks to remove the influen…
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines
Christian Mattjie, Luis Vinicius de Moura, Rafaela Cappelari Ravazio +4
Segmentation in medical imaging is a critical component for the diagnosis, monitoring, and treatment of various diseases and medical conditions. Presently, the medical segmentation…