Abstract: Meta-learning aims to leverage prior knowledge from related tasks to enable a base learner to quickly adapt to new tasks with limited labeled samples. However, traditional meta-learning ...
Abstract: Modeling statistics of image priors is useful for image super-resolution, but little attention has been paid from the massive works of deep learning-based methods. In this work, we propose a ...
description [ICML2026][模型压缩][LoRA调参] 本文把 LoRA 超参数配置写成带领域解释的文本，让冻结 LLM、可学习 token ...
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