File:Monthly user submissions to Reddit (linear scale).png
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From the preprint study "Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning"
Summary
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| Description |
English: "While the three functions appear to fit the data well in the log scale, the linear plot shows that the sigm*exp function predicts much better the recent years"
"Appendix C: Test of the theoretical growth model We check our theoretical model of data accumulation rates developed in the Methods section on Reddit submission data. The combined sigmoid times exponential function fits the monthly submission history better than either sigmoid or exponential functions alone (Figure 7)." |
| Date | |
| Source | https://arxiv.org/abs/2211.04325 |
| Author | Authors of the preprint study: Pablo Villalobos, Jaime Sevilla, Lennart Heim, Tamay Besiroglu, Marius Hobbhahn, Anson Ho |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 13:07, 3 June 2024 | | 2,245 × 1,405 (424 KB) | Prototyperspective (talk | contribs) | Uploaded a work by Authors of the preprint study: Pablo Villalobos, Jaime Sevilla, Lennart Heim, Tamay Besiroglu, Marius Hobbhahn, Anson Ho from https://arxiv.org/abs/2211.04325 with UploadWizard |
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