A Comprehensive Survey on Self-Interpretable Neural Networks

Y Ji, Y Sun, Y Zhang, Z Wang, Y Zhuang… - arxiv preprint arxiv …, 2025 - arxiv.org
Neural networks have achieved remarkable success across various fields. However, the
lack of interpretability limits their practical use, particularly in critical decision-making …

Extracting Essential Information and Making Inference from Data

RD Kjærsgaard - 2023 - orbit.dtu.dk
In recent years, machine learning and artificial intelligence systems have seen great
success across a variety of domains. These systems are fueled by their underlying training …