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Implicit Regularization in Deep Learning May Not Be Explainable by Norms

, and . (2020)cite arxiv:2005.06398.

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What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement., , , and . NeurIPS, (2023)Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18422-18462. PMLR, (2022)What Makes a Reward Model a Good Teacher? An Optimization Perspective., , , , , and . CoRR, (March 2025)Optimizing BERT for Unlabeled Text-Based Items Similarity., , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1704-1714. Association for Computational Linguistics, (2020)Implicit Regularization in Tensor Factorization., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8913-8924. PMLR, (2021)Understanding Deep Learning via Notions of Rank.. CoRR, (2024)What Algorithms can Transformers Learn? A Study in Length Generalization., , , , , , , and . ICLR, OpenReview.net, (2024)Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization., , , , , and . ICLR, OpenReview.net, (2025)What Algorithms can Transformers Learn? A Study in Length Generalization., , , , , , , and . CoRR, (2023)Vanishing Gradients in Reinforcement Finetuning of Language Models., , , , , , , and . CoRR, (2023)