{
    "author": null,
    "date_published": "2021-10-02T01:18:00.000Z",
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    "domain": "arxiv.org",
    "excerpt": "Empirical science of neural scaling laws is a rapidly growing area of significant importance to the future of machine learning, particularly in the light of recent breakthroughs achieved by large…",
    "lead_image_url": "https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png",
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    "title": "Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers",
    "total_pages": 1,
    "url": "https://arxiv.org/abs/2110.06990v2",
    "word_count": 268
}