To solve these challenges, we propose a Multi-annotated explanation-guided learn- ing (MAGI) framework to do explanation supervision with comprehensive and high ...
This technique aims to improve the predictability of the model by incorporating human understanding of the prediction process into the training phase. This is a ...
Jan 31, 2024 · We experimentally verified our method on a convolutional neural network model for low-grade and high-grade glioma classification problems. Our ...
MAGI: Multi-Annotated Explanation-Guided Learning. Y Zhang, S Gu, Y Gao, B Pan, X Yang, L Zhao. ICCV 2023, 1977-1987, 2023. 4, 2023. Distilling Large Language ...
Dec 7, 2022 · This article provides a timely and extensive literature overview of the field Explanation-Guided Learning (EGL), a domain of techniques that ...
MAGI: Multi-Annotated Explanation-Guided Learning. The 36th International Conference on Computer Vision (ICCV 2023), accepted, 2023. [paper] [code]. KDD 2023.
Apr 10, 2024 · ... driven data in developing future Human-AI Collaboration designs. View. Show abstract. MAGI: Multi-Annotated Explanation-Guided Learning.
Studying how to Efficiently and Effectively Guide Models with Explanations ... MAGI: Multi-Annotated Explanation-Guided Learning, ➖, thecvf, ➖. SAFARI ...
Magi: Multi-annotated explanation-guided learning. Y Zhang, S Gu, Y Gao, B Pan, X Yang, L Zhao. Proceedings of the IEEE/CVF International Conference on Computer ...
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