{
  "id": 111383,
  "title": "[Paper] : Accelerating Deep Learning by Focusing on the Biggest Losers",
  "url": "/competitions/rsna-intracranial-hemorrhage-detection/discussion/111383",
  "author_name": "Salil Mishra",
  "post_date": "2019-10-05T08:48:21.865000",
  "votes": 7,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Link - <a href=\"https://arxiv.org/abs/1910.00762\">https://arxiv.org/abs/1910.00762</a></p>\n\n<p>The method shows promising results, see <a href=\"https://twitter.com/dcpage3/status/1180214337354555392?s=19\">here</a>. Considering the size of the dataset, it might be useful.</p>\n\n<p>Implementation can be found <a href=\"https://anonymous.4open.science/r/c6d4060d-bdac-4d31-839e-8579650255b3/\">here</a></p>\n\n<p>Edit - The implementation seems to be removed by the authors</p>",
  "messages": [
    {
      "id": 641865,
      "postDate": "2019-10-05T08:48:21.867Z",
      "content": "<p>Link - <a href=\"https://arxiv.org/abs/1910.00762\">https://arxiv.org/abs/1910.00762</a></p>\n\n<p>The method shows promising results, see <a href=\"https://twitter.com/dcpage3/status/1180214337354555392?s=19\">here</a>. Considering the size of the dataset, it might be useful.</p>\n\n<p>Implementation can be found <a href=\"https://anonymous.4open.science/r/c6d4060d-bdac-4d31-839e-8579650255b3/\">here</a></p>\n\n<p>Edit - The implementation seems to be removed by the authors</p>",
      "rawMarkdown": "Link - https://arxiv.org/abs/1910.00762\n\nThe method shows promising results, see [here](https://twitter.com/dcpage3/status/1180214337354555392?s=19). Considering the size of the dataset, it might be useful.\n\nImplementation can be found [here](https://anonymous.4open.science/r/c6d4060d-bdac-4d31-839e-8579650255b3/)\n\nEdit - The implementation seems to be removed by the authors",
      "votes": 7
    },
    {
      "id": 641873,
      "postDate": "2019-10-05T08:56:02.917Z",
      "content": "<p>Very Informative &amp; Helpful..\nThanks for Sharing.....!! <a href=\"/salilm23\">@salilm23</a> </p>",
      "rawMarkdown": "Very Informative &amp; Helpful..\nThanks for Sharing.....!! @salilm23 ",
      "votes": 2
    },
    {
      "id": 648907,
      "postDate": "2019-10-14T19:03:15.223Z",
      "content": "<p>great info. thanks</p>",
      "rawMarkdown": "great info. thanks",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 641873,
      "author_name": "Ailurophile",
      "author_url": "",
      "post_date": "2019-10-05T08:56:02.917000",
      "content": "<p>Very Informative &amp; Helpful..\nThanks for Sharing.....!! <a href=\"/salilm23\">@salilm23</a> </p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 648907,
      "author_name": "Adrian Zinovei",
      "author_url": "",
      "post_date": "2019-10-14T19:03:15.223000",
      "content": "<p>great info. thanks</p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "641865": "Link - https://arxiv.org/abs/1910.00762\n\nThe method shows promising results, see [here](https://twitter.com/dcpage3/status/1180214337354555392?s=19). Considering the size of the dataset, it might be useful.\n\nImplementation can be found [here](https://anonymous.4open.science/r/c6d4060d-bdac-4d31-839e-8579650255b3/)\n\nEdit - The implementation seems to be removed by the authors",
    "641873": "Very Informative &amp; Helpful..\nThanks for Sharing.....!! @salilm23 ",
    "648907": "great info. thanks"
  }
}