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Explaining deep neural networks and beyond: A review of methods and applications

, , , , and . Proceedings of the IEEE, 109 (3): 247--278 (2021)

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Explaining deep neural networks and beyond: A review of methods and applications, , , , and . Proceedings of the IEEE, 109 (3): 247--278 (2021)CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding., , , and . IEEE Trans. Netw. Sci. Eng., 9 (4): 2025-2038 (2022)ECQ x: Explainability-Driven Quantization for Low-Bit and Sparse DNNs., , , , and . xxAI@ICML, volume 13200 of Lecture Notes in Computer Science, page 271-296. Springer, (2020)Explaining the Predictions of Unsupervised Learning Models., , , and . xxAI@ICML, volume 13200 of Lecture Notes in Computer Science, page 117-138. Springer, (2020)Achieving Generalizable Robustness of Deep Neural Networks by Stability Training., , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 360-373. Springer, (2019)Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond., , , , and . CoRR, (2020)Evaluating Recurrent Neural Network Explanations., , , and . BlackboxNLP@ACL, page 113-126. Association for Computational Linguistics, (2019)Optimizing Explanations by Network Canonization and Hyperparameter Search., , , , and . CVPR Workshops, page 3819-3828. IEEE, (2023)Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning., , , , , , and . CVPR Workshops, page 3366-3375. IEEE, (2022)Explaining Machine Learning Models for Clinical Gait Analysis., , , , , , , , , and . ACM Trans. Comput. Heal., 3 (2): 14:1-14:27 (2022)