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- Grokking (machine learning) - Wikipedia
In ML research, "grokking" is not used as a synonym for "generalization"; rather, it names a sometimes-observed delayed‑generalization training phenomenon in which training and held‑out performance do not improve in tandem, and in which held‑out performance rises abruptly later
- [2201. 02177] Grokking: Generalization Beyond Overfitting on Small . . .
In this paper we propose to study generalization of neural networks on small algorithmically generated datasets In this setting, questions about data efficiency, memorization, generalization, and speed of learning can be studied in great detail
- What is Grokking? Understanding Deep Learning Generalization | Ultralytics
Grokking refers to a fascinating phenomenon in deep learning where a neural network, after training for a significantly extended period—often long after it appears to have overfitted the training data—suddenly experiences a sharp improvement in validation accuracy
- Grokking in Neural Networks: A Review - Springer
It is crucial to distinguish grokking from generalisation While generalisation refers to the ability of a model to per-form well on unseen data, grokking describes a phenomenon where neural networks do not generalise for a long time but eventually do
- What Is Grokking in AI? Phase Transitions in Learning (2026)
Grokking is a sudden phase transition in neural network training where a model shifts from memorizing its training data to genuinely generalizing — understanding the underlying pattern well enough to solve examples it has never seen
- To Grok Grokking: Provable Grokking in Ridge Regression
We study grokking - the onset of generalization long after overfitting - in a classical ridge regression setting We prove end-to-end grokking results for learning over-parameterized linear regression models using gradient descent with weight decay Specifically, we prove that the following stages occur: (i) the model overfits the training data early during training; (ii) poor generalization
- Grokking: What We Know, What We Don’t, and Why It Matters
Grokking describes a specific training phenomenon: a neural network first memorizes its training data (achieving near-zero training loss), appears to plateau with poor generalization, then
- Grokking System Design: The Complete 2026 Guide (What It Is, What It . . .
Grokking System Design — officially called Grokking the System Design Interview — is an online course that teaches software engineers how to pass system design interviews at top tech companies
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