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Zhen-Ru Zhang

2 accepted papers

2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning

ACL 2023short

Fine-tuning large pre-trained language models on various downstream tasks with whole parameters is prohibitively expensive. Hence, Parameter-efficient fine-tuning has attracted attention that only optimizes a few task-specific parameters with the frozen pre-trained model. In this work, we focus on p…

2021

Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning

AAAI 2021technical

In semi-supervised learning, one key strategy in exploiting unlabeled data is trying to estimate its pseudo-label based on current predictive model, where the unlabeled data assigned with pseudo-label is further utilized to enlarge labeled data set for model update. Nonetheless, the supervision info…

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