6 citations · 10 across the 6 of their papers we have counts for
6 papers
Bridging Domains through Subspace-Aware Model Merging
Levy Chaves, Chao Zhou, Rebekka Burkholz +2
Model merging integrates multiple task-specific models into a single consolidated one. Recent research has made progress in improving merging performance for in-distribution or mul…
Weight Weaving: Parameter Pooling for Data-Free Model Merging
Levy Chaves, Eduardo Valle, Sandra Avila
Model merging provides a cost-effective and data-efficient combination of specialized deep neural networks through parameter integration. This technique leverages expert models acr…
Back to the Basics on Predicting Transfer Performance
Levy Chaves, Eduardo Valle, Alceu Bissoto +1
In the evolving landscape of deep learning, selecting the best pre-trained models from a growing number of choices is a challenge. Transferability scorers propose alleviating this…
Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
Luana Barros, Levy Chaves, Sandra Avila
Melanoma is the most severe type of skin cancer due to its ability to cause metastasis. It is more common in black people, often affecting acral regions: palms, soles, and nails. D…
The Performance of Transferability Metrics does not Translate to Medical Tasks
Levy Chaves, Alceu Bissoto, Eduardo Valle +1
Transfer learning boosts the performance of medical image analysis by enabling deep learning (DL) on small datasets through the knowledge acquired from large ones. As the number of…
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Levy Chaves, Alceu Bissoto, Eduardo Valle +1
Self-supervised pre-training appears as an advantageous alternative to supervised pre-trained for transfer learning. By synthesizing annotations on pretext tasks, self-supervision…