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cs.LG2023
On Dataset Transferability in Active Learning for Transformers
Fran Jelenić, Josip Jukić, Nina Drobac +1
Active learning (AL) aims to reduce labeling costs by querying the examples most beneficial for model learning. While the effectiveness of AL for fine-tuning transformer-based pre-…
cs.LG2022★ 3 cited
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis
Josip Jukić, Jan Šnajder
Developed to alleviate prohibitive labeling costs, active learning (AL) methods aim to reduce label complexity in supervised learning. While recent work has demonstrated the benefi…
cs.LG2022
ALANNO: An Active Learning Annotation System for Mortals
Josip Jukić, Fran Jelenić, Miroslav Bićanić +1
Supervised machine learning has become the cornerstone of today's data-driven society, increasing the need for labeled data. However, the process of acquiring labels is often expen…