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[1]
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking
2026Yongzhong Xu
[2]
Low-Dimensional Execution Manifolds in Transformer Learning Dynamics: Evidence from Modular Arithmetic Tasks
2026Yongzhong Xu
[3]
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
2023Kaifeng Lyu, Jikai Jin et al.
[4]
Grokking of Hierarchical Structure in Vanilla Transformers
2023Shikhar Murty, Pratyusha Sharma et al.
[5]
Progress measures for grokking via mechanistic interpretability
2023Neel Nanda, Lawrence Chan et al.
[6]
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
2022B. Barak, Benjamin L. Edelman et al.
[7]
Towards Understanding Grokking: An Effective Theory of Representation Learning
2022Ziming Liu, Ouail Kitouni et al.
[8]
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
2022Alethea Power, Yuri Burda et al.
[9]
Are Transformers universal approximators of sequence-to-sequence functions?
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[10]
Decoupled Weight Decay Regularization
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[11]
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks
2017B. Lake, Marco Baroni

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