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The Geometry of Sign Gradient Descent., , and . CoRR, (2020)Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation., , , , , , and . CVPR, page 12240-12249. Computer Vision Foundation / IEEE, (2019)Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering., , , , and . ICBINB@NeurIPS, volume 137 of Proceedings of Machine Learning Research, page 60-69. PMLR, (2020)PASHA: Efficient HPO with Progressive Resource Allocation., , , , and . CoRR, (2022)Limitations of the Empirical Fisher Approximation., , and . CoRR, (2019)DeepOBS: A Deep Learning Optimizer Benchmark Suite., , and . ICLR (Poster), OpenReview.net, (2019)u-μP: The Unit-Scaled Maximal Update Parametrization., , , , , , , , , and . CoRR, (2024)Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients, and . (2017)cite arxiv:1705.07774Comment: Presented at the 35th International Conference on Machine Learning (ICML), 2018.Continual Learning with Low Rank Adaptation., , , and . CoRR, (2023)Limitations of the empirical Fisher approximation for natural gradient descent., , and . NeurIPS, page 4158-4169. (2019)