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The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization.

, and . CoRR, (2016)

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The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization., and . CoRR, (2016)Learning Representation from Neural Fisher Kernel with Low-rank Approximation., , , and . ICLR, OpenReview.net, (2022)The Multiverse Loss for Robust Transfer Learning., and . CVPR, page 3957-3966. IEEE Computer Society, (2016)Adaptive Optimization in the ∞-Width Limit., and . ICLR, OpenReview.net, (2023)The Multiverse Loss for Robust Transfer Learning., and . CoRR, (2015)Spherical embedding of inlier silhouette dissimilarities., , and . CVPR, page 3855-3863. IEEE Computer Society, (2015)Stabilizing Transformer Training by Preventing Attention Entropy Collapse., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 40770-40803. PMLR, (2023)How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks., , , , , , and . CoRR, (2024)Complexity of multiverse networks and their multilayer generalization., and . ICPR, page 372-377. IEEE, (2016)What Algorithms can Transformers Learn? A Study in Length Generalization., , , , , , , and . CoRR, (2023)