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cs.CV2024
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam, Mathilde Caron, Yuki M. Asano
With the advent of billion-parameter foundation models, efficient fine-tuning has become increasingly important for the adaptation of models to downstream tasks. However, especiall…
cs.CV2024
Federated Learning with a Single Shared Image
Sunny Soni, Aaqib Saeed, Yuki M. Asano
Federated Learning (FL) enables multiple machines to collaboratively train a machine learning model without sharing of private training data. Yet, especially for heterogeneous mode…