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Identifying untrustworthy predictions in neural networks by geometric gradient analysis

, , , , , , , and . Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, volume 161 of Proceedings of Machine Learning Research, page 854--864. PMLR, (27--30 Jul 2021)

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Variational Graph Methods for Efficient Point Cloud Sparsification., , and . CoRR, (2019)The infinity Laplacian eigenvalue problem: reformulation and a numerical scheme, , and . Journal of Scientific Computing, 98 (2): 40 (2024)A Bregman Learning Framework for Sparse Neural Networks., , , and . J. Mach. Learn. Res., (2022)Sampled Nonlocal Gradients for Stronger Adversarial Attacks., , , , , and . CoRR, (2020)Identifying untrustworthy predictions in neural networks by geometric gradient analysis., , , , , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 854-864. AUAI Press, (2021)The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme., , and . CoRR, (2020)Neural Architecture Search via Bregman Iterations., , , and . CoRR, (2021)A Bregman Learning Framework for Sparse Neural Networks., , , and . CoRR, (2021)Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks., , , , , , and . IJCNN, page 1-8. IEEE, (2021)CLIP: Cheap Lipschitz Training of Neural Networks., , , , and . SSVM, volume 12679 of Lecture Notes in Computer Science, page 307-319. Springer, (2021)