2 papers
cs.LG2025
Test Time Adaptation Using Adaptive Quantile Recalibration
Paria Mehrbod, Pedro Vianna, Geraldin Nanfack +2
Domain adaptation is a key strategy for enhancing the generalizability of deep learning models in real-world scenarios, where test distributions often diverge significantly from th…
cs.LG2024
Non-Uniform Parameter-Wise Model Merging
Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf +1
Combining multiple machine learning models has long been a technique for enhancing performance, particularly in distributed settings. Traditional approaches, such as model ensemble…