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cs.MM2022
Parameter Efficient Transfer Learning for Various Speech Processing Tasks
Shinta Otake, Rei Kawakami, Nakamasa Inoue
Fine-tuning of self-supervised models is a powerful transfer learning method in a variety of fields, including speech processing, since it can utilize generic feature representatio…
cs.MM2018
Few-Shot Adaptation for Multimedia Semantic Indexing
Nakamasa Inoue, Koichi Shinoda
We propose a few-shot adaptation framework, which bridges zero-shot learning and supervised many-shot learning, for semantic indexing of image and video data. Few-shot adaptation p…