2 papers
cs.CL2023
Ask Language Model to Clean Your Noisy Translation Data
Quinten Bolding, Baohao Liao, Brandon James Denis +2
Transformer models have demonstrated remarkable performance in neural machine translation (NMT). However, their vulnerability to noisy input poses a significant challenge in practi…
cs.CV2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
Guangyu Sun, Matias Mendieta, Jun Luo +2
Personalized Federated Learning (PFL) represents a promising solution for decentralized learning in heterogeneous data environments. Partial model personalization has been proposed…