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1,359 claims from 845 papers are on the record. 46 have been checked so far; the other 1,313 have no check with a result yet.

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Status: Unchecked ×Keyword: memorization ×Clear all

6 claims from 3 papers

1. Computer Science › Domain Adaptation and Few-Shot Learning

   Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

   Power, Burda, Edwards, Babuschkin and Misra · arXiv (Cornell University) · 2022

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   1. Unchecked“In some situations we show that neural networks learn through a process of "grokking" a pattern in the data, improving generalization performance from random chance level to perfect generalization, and that this improvement in generalization can happen well…
   2. Unchecked“We also study generalization as a function of dataset size and find that smaller datasets require increasing amounts of optimization for generalization.”

2. Computer Science › Stochastic Gradient Optimization Techniques

   Memorizing without overfitting: Bias, variance, and interpolation in overparameterized models

   Rocks and Mehta · Physical Review Research · 2022

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   1. Unchecked“In both models, increasing the number of fit parameters leads to a phase transition where the training error goes to zero and the test error diverges as a result of the variance (while the bias remains finite).”
   2. Unchecked“We also show that in contrast with classical intuition, over-parameterized models can overfit even in the absence of noise and exhibit bias even if the student and teacher models match.”

3. Computer Science › Topic Modeling

   Language Model Behavior: A Comprehensive Survey

   Chang and Bergen · arXiv (Cornell University) · 2023

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   1. Unchecked“Language models possess basic capabilities in syntax, semantics, pragmatics, world knowledge, and reasoning, but these capabilities are sensitive to specific inputs and surface features.”
   2. Unchecked“Many of these weaknesses can be framed as over-generalizations or under-generalizations of learned patterns in text.”