{
  "id": 913,
  "title": "Who is behind this competition?",
  "url": "/competitions/SemiSupervisedFeatureLearning/discussion/913",
  "author_name": "",
  "post_date": "2011-10-01T14:41:21.493Z",
  "votes": null,
  "comment_count": 3,
  "views": 2879,
  "content": "<p>I'm very interested in unsupervised and semi-supervised learning, and could be interested in this competition.</p>\r\n<p>However, you are asking a lot for the chance to be included in the acknowledgements section of a workshop paper, which is virtually meaningless. &nbsp;Will you please clarify who is running this competition along with your affiliation and your connection (if\r\n any) to the organizers of the NIPS workshop?</p>",
  "messages": [
    {
      "id": "5808",
      "postDate": "10/01/2011 14:41:21",
      "content": "<p>I'm very interested in unsupervised and semi-supervised learning, and could be interested in this competition.</p>\r\n<p>However, you are asking a lot for the chance to be included in the acknowledgements section of a workshop paper, which is virtually meaningless. &nbsp;Will you please clarify who is running this competition along with your affiliation and your connection (if\r\n any) to the organizers of the NIPS workshop?</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5829",
      "postDate": "10/02/2011 02:37:55",
      "content": "<p>This is the area of foremost interest within Machine Learning to me too. And I have my guess of who is behind this. Hopefully soon I could make some contributions to this leader-board.\r\n</p>\r\n<p>PS: The mention in acknowledgements might be virtually meaningless I agree. However I sincerely think it could mean a lot if you want to get noticed. Research in deep learning is still confined to a few places and breaking in is difficult.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5839",
      "postDate": "10/02/2011 14:50:48",
      "content": "<p>Thanks for asking for clarification on this. &nbsp;This competition is not directly connected to the organization of the NIPS workshop, but is being run as a service to the deep learning and semi-supervised learning research communities. &nbsp;(Although we had been\r\n making good-faith efforts to maintain anonymity, it has recently been leaked by the kaggle.com that the main organizer is D. Sculley.)</p>\r\n<p>As described elsewhere, we will compile the results of this competition into a fomal writup, which will be submitted to the workshop. &nbsp;The goals of this paper will be to highlight the comparison across the methods tested, to summarize trends across methods,\r\n and to give credit to the competitors and create a permanent record of their achievements. &nbsp;In the past, reports like this have attracted useful attention to those who have taken part, and the hope here would be to do the same.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5852",
      "postDate": "10/02/2011 19:54:15",
      "content": "<p>Thanks for the clarification!</p>",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 5829,
      "author_name": "onionesquereality",
      "author_url": "",
      "post_date": "10/02/2011 02:37:55",
      "content": "<p>This is the area of foremost interest within Machine Learning to me too. And I have my guess of who is behind this. Hopefully soon I could make some contributions to this leader-board.\r\n</p>\r\n<p>PS: The mention in acknowledgements might be virtually meaningless I agree. However I sincerely think it could mean a lot if you want to get noticed. Research in deep learning is still confined to a few places and breaking in is difficult.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 5839,
      "author_name": "argv",
      "author_url": "",
      "post_date": "10/02/2011 14:50:48",
      "content": "<p>Thanks for asking for clarification on this. &nbsp;This competition is not directly connected to the organization of the NIPS workshop, but is being run as a service to the deep learning and semi-supervised learning research communities. &nbsp;(Although we had been\r\n making good-faith efforts to maintain anonymity, it has recently been leaked by the kaggle.com that the main organizer is D. Sculley.)</p>\r\n<p>As described elsewhere, we will compile the results of this competition into a fomal writup, which will be submitted to the workshop. &nbsp;The goals of this paper will be to highlight the comparison across the methods tested, to summarize trends across methods,\r\n and to give credit to the competitors and create a permanent record of their achievements. &nbsp;In the past, reports like this have attracted useful attention to those who have taken part, and the hope here would be to do the same.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 5852,
      "author_name": "benhamner",
      "author_url": "",
      "post_date": "10/02/2011 19:54:15",
      "content": "<p>Thanks for the clarification!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "5808": "",
    "5829": "",
    "5839": "",
    "5852": ""
  },
  "source": "meta"
}