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Tomoharu Iwata

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Preprint Jul 2026

Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data

This work proposes a novel meta-learning setting that avoids model inversion by jointly leveraging pre-trained models and unlabeled data and introduces a task-weighting mechanism based on task confidence and class distribution balance to ensure effective meta-learning.

Lei Sun, Yusuke Tanaka, Tomoharu Iwata · 0 citations