Title |
|---|
 On the Safety of Interpretable Machine Learning: A Maximum Deviation
ApproachNeural Information Processing Systems (NeurIPS), 2022 |
 Auto-Transfer: Learning to Route Transferrable RepresentationsInternational Conference on Learning Representations (ICLR), 2022 |
 Locally Invariant Explanations: Towards Stable and Unidirectional
Explanations through Local Invariant LearningNeural Information Processing Systems (NeurIPS), 2022 |
 AI Explainability 360: Impact and DesignAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Perceptron Theory Can Predict the Accuracy of Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 |
 Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial
Neural NetworksEuropean Conference on Artificial Intelligence (ECAI), 2019 |
