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Fran Jelenić

2 accepted papers

2024

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness

ICLR 2024poster

Effective out-of-distribution (OOD) detection is crucial for reliable machine learning models, yet most current methods are limited in practical use due to requirements like access to training data or intervention in training. We present a novel method for detecting OOD data in Transformers based on…

2023

On Dataset Transferability in Active Learning for Transformers

ACL 2023findings

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-trained language models (PLMs) has been demonstrated, it is less clear to what extent the AL gains obtained with one mod…