Last Call for Papers: Explainable Deep Neural Networks
Contribute to Explainable Deep Neural Networks for Responsible AI at IJCNN 2025
Don’t miss the opportunity to contribute to the Explainable Deep Neural Networks for Responsible AI (DeepXplain 2025) special session at IJCNN 2025!
We invite you to submit your research papers on innovative methodologies for improving the interpretability of Deep Neural Networks (DNNs) while addressing fairness bias mitigation.
- Theoretical advances in post-hoc explaining methods for DNNs
- Development of inherently interpretable architectures that use self-explaining mechanisms
- Post-hoc and self-explaining methods for large-scale language models
- Studies on ethics, fairness and interpretability in large-scale language models
- And more!
Submission deadline is January 30, 2025. Notification date is March 15, 2025, and camera-ready submission is due on May 1, 2025.
Learn more about the special session and submission guidelines on the DeepXplain 2025 website.
Tags: Explainable Deep Neural Networks, Responsible AI, IJCNN 2025, DeepXplain 2025, Post-hoc explaining methods, Inherently interpretable architectures, Large-scale language models, Ethics and fairness in AI