{
    "author": null,
    "date_published": null,
    "dek": null,
    "direction": "ltr",
    "domain": "arxiv.org",
    "excerpt": "We examine the role of memorization in deep learning, drawing connections to capacity, generalization, and adversarial robustness. While deep networks are capable of memorizing noise data, our results&hellip;",
    "lead_image_url": "https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png",
    "next_page_url": null,
    "rendered_pages": 1,
    "title": "A Closer Look at Memorization in Deep Networks",
    "total_pages": 1,
    "url": "https://arxiv.org/abs/1706.05394v2",
    "word_count": 152
}