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Robust Learning from Untrusted Sources

, and . (2019)cite arxiv:1901.10310Comment: Accepted to International Conference on Machine Learning (ICML), 2019; Camera-ready version.

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On the Sample Complexity of Adversarial Multi-Source PAC Learning., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5416-5425. PMLR, (2020)Banded Square Root Matrix Factorization for Differentially Private Model Training., and . CoRR, (2024)Distillation-Based Training for Multi-Exit Architectures., and . ICCV, page 1355-1364. IEEE, (2019)Spatiogram-Based Shot Distances for Video Retrieval., , and . TRECVID, National Institute of Standards and Technology (NIST), (2006)Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?, , and . CoRR, (2024)Robust Learning from Untrusted Sources, and . (2019)cite arxiv:1901.10310Comment: Accepted to International Conference on Machine Learning (ICML), 2019; Camera-ready version.Detecting Visual Relationships Using Box Attention., , , and . ICCV Workshops, page 1749-1753. IEEE, (2019)Does SGD Implicitly Optimize for Smoothness?, and . GCPR, volume 12544 of Lecture Notes in Computer Science, page 246-259. Springer, (2020)Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model., , and . CoRR, (2023)Towards Understanding Knowledge Distillation., and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5142-5151. PMLR, (2019)