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Information in Infinite Ensembles of Infinitely-Wide Neural Networks.

, and . AABI, volume 118 of Proceedings of Machine Learning Research, page 1-17. PMLR, (2019)

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Information in Infinite Ensembles of Infinitely-Wide Neural Networks., and . AABI, volume 118 of Proceedings of Machine Learning Research, page 1-17. PMLR, (2019)Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations., , , , , , , , , and 3 other author(s). CoRR, (2024)Tabular Data: Deep Learning is Not All You Need., and . CoRR, (2021)Reverse Engineering Self-Supervised Learning., , , , and . CoRR, (2023)Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors., , , , , , and . NeurIPS, (2022)How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization., , , , , and . ICLR, OpenReview.net, (2023)Just How Flexible are Neural Networks in Practice?, , , , , and . CoRR, (2024)REPRESENTATION COMPRESSION AND GENERALIZATION IN DEEP NEURAL NETWORKS, , and . (2019)Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies., , , , , , , , , and . KDD, page 2811-2821. ACM, (2021)Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos., and . CoRR, (2018)