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 …
Grokking Explained: A Statistical Phenomenon - arXiv.org
Feb 3, 2025 · Grokking, or delayed generalization, is an intriguing learning phenomenon where test set loss decreases sharply only after a model’s training set loss has converged. This …
Grokking in Neural Networks: A Review | SN Computer Science
Jul 11, 2025 · One such phenomenon is grokking. According to the Oxford English Dictionary, “to grok something” means “to understand something completely using your feelings rather than …
What is Grokking? From Rote to Revelation, overfitting represents …
May 15, 2025 · Grokking forces us to reconsider established practices in training neural networks. It challenges the validity of early stopping criteria and suggests that a model appearing to …
Do Machine Learning Models Memorize or Generalize?
When Does Grokking Happen? It’s important to note that grokking is a contingent phenomenon — it goes away if model size, weight decay, data size and other hyper parameters aren’t just …
Grokking in Neural Networks: A Closer Look - Simple Science
Jun 20, 2025 · Grokking is a term used to describe a sudden change in how neural networks perform during their training. In this process, these networks can switch from merely …
GROKKING Definition & Meaning - Merriam-Webster
Dec 7, 2016 · Grok may be the only English word that derives from Martian. Yes, we do mean the language of the planet Mars. No, we're not getting spacey; we've just ventured into the realm …
Understanding Grokking In Artificial Intelligence
Apr 11, 2025 · Grokking describes when an AI system appears to suddenly "get it" after a lengthy period of seemingly minimal progress. Initially, the AI memorizes training examples without …
Grokking refers to the surprising phenomenon of delayed generalization where neural networks, on certain learning problems, generalize long after overfitting their training set.
Structure and Interpretation of Deep Networks
Grokking is a fascinating phenomenon where a model, after a period of apparent stagnation, suddenly experiences a rapid and significant improvement in performance.