2 papers
cs.LG2024
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita, Masanori Yamada, Takashi Shibata
Ethical and privacy issues inherent in artificial intelligence (AI) applications have been a growing concern with the rapid spread of deep learning. Machine unlearning (MU) is the…
cs.LG2024
Toward Data Efficient Model Merging between Different Datasets without Performance Degradation
Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi +1
Model merging is attracting attention as a novel method for creating a new model by combining the weights of different trained models. While previous studies reported that model me…