3 papers
cs.LG2026
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…
cs.LG2025
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…
cs.LG2024
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…