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1,390 claims from 864 papers are on the record. 46 have been checked so far; the other 1,344 have no check with a result yet.

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Status: Unchecked ×Keyword: regularization ×Clear all

4 claims from 3 papers

1. Computer Science › Advanced Neural Network Applications

   Rethinking the Inception Architecture for Computer Vision

   Szegedy, Vanhoucke, Ioffe, Shlens and Wojna · arXiv (Cornell University) · 2015

   The paper explores scaling up convolutional networks efficiently through factorized convolutions and aggressive regularisation, and reports improved image classification results on the ILSVRC 2012 benchmark.

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   1. UncheckedOn the ILSVRC 2012 validation set, the authors report 21.2% top-1 and 5.6% top-5 error for a single network of under 25 million parameters.“We benchmark our methods on the ILSVRC 2012 classification challenge validation set demonstrate substantial gains over the state of the art: 21.2% top-1 and 5.6% top-5 error for single frame evaluation using a network with a computational cost of 5 billion multiply-adds per inference and with using…”
   2. UncheckedAn ensemble of four models with multi-crop evaluation reached 3.5% top-5 and 17.3% top-1 error on the ILSVRC 2012 validation set, and 3.6% top-5 on the test set.“With an ensemble of 4 models and multi-crop evaluation, we report 3.5% top-5 error on the validation set (3.6% error on the test set) and 17.3% top-1 error on the validation set.”

2. Computer Science › Stochastic Gradient Optimization Techniques

   Triple descent and the two kinds of overfitting: where and why do they appear?*

   d’Ascoli, Sagun and Biroli · Journal of Statistical Mechanics Theory and Experiment · 2021

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   1. Unchecked“We show that this peak is implicitly regularized by the nonlinearity, which is why it only becomes salient at high noise and is weakly affected by explicit regularization.”

3. Computer Science › Machine Learning and Data Classification

   Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide

   Sheppert · Frontiers in Artificial Intelligence · 2026

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   1. Unchecked“Overfitting mitigation benefits from coordinated choices in data, model capacity, optimization, and evaluation.”