{
    "author": null,
    "date_published": "2020-09-02T01:24:00.000Z",
    "dek": null,
    "direction": "ltr",
    "domain": "arxiv.org",
    "excerpt": "In this paper, we investigate the principle that `good explanations are hard to vary' in the context of deep learning. We show that averaging gradients across examples -- akin to a logical OR of&hellip;",
    "lead_image_url": "https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png",
    "next_page_url": null,
    "rendered_pages": 1,
    "title": "Learning explanations that are hard to vary",
    "total_pages": 1,
    "url": "https://arxiv.org/abs/2009.00329v3",
    "word_count": 167
}