{
  "id": 88153,
  "title": "Last year's solution",
  "url": "/competitions/freesound-audio-tagging-2019/discussion/88153",
  "author_name": "",
  "post_date": "2019-04-06T06:34:53.513177200Z",
  "votes": 24,
  "comment_count": 6,
  "views": 0,
  "content": "<p>As this competition is similar to previous one, I believe that previous code can be useful. For example, you can find our solution for last year's competition in the following link.</p>\n\n<p><a href=\"https://www.kaggle.com/c/freesound-audio-tagging/discussion/62634#latest-367166\">https://www.kaggle.com/c/freesound-audio-tagging/discussion/62634#latest-367166</a></p>\n\n<p>PS: You can find our code given in\n<a href=\"https://github.com/Cocoxili/DCASE2018Task2\">https://github.com/Cocoxili/DCASE2018Task2</a></p>",
  "messages": [
    {
      "id": "508426",
      "postDate": "04/06/2019 06:34:53",
      "content": "<p>As this competition is similar to previous one, I believe that previous code can be useful. For example, you can find our solution for last year's competition in the following link.</p>\n\n<p><a href=\"https://www.kaggle.com/c/freesound-audio-tagging/discussion/62634#latest-367166\">https://www.kaggle.com/c/freesound-audio-tagging/discussion/62634#latest-367166</a></p>\n\n<p>PS: You can find our code given in\n<a href=\"https://github.com/Cocoxili/DCASE2018Task2\">https://github.com/Cocoxili/DCASE2018Task2</a></p>",
      "rawMarkdown": "As this competition is similar to previous one, I believe that previous code can be useful. For example, you can find our solution for last year's competition in the following link.\n\nhttps://www.kaggle.com/c/freesound-audio-tagging/discussion/62634#latest-367166\n\nPS: You can find our code given in\nhttps://github.com/Cocoxili/DCASE2018Task2",
      "votes": null
    },
    {
      "id": "508836",
      "postDate": "04/06/2019 21:28:49",
      "content": "<p>Thanks for sharing the links.  I found you at private 4th and public 1st ranking. Great! <br>\nIf there is an opportunity in this competition, I would like you to share various findings.</p>",
      "rawMarkdown": "Thanks for sharing the links.  I found you at private 4th and public 1st ranking. Great!  \nIf there is an opportunity in this competition, I would like you to share various findings.",
      "votes": null
    },
    {
      "id": "510119",
      "postDate": "04/08/2019 17:12:48",
      "content": "<p><a href=\"/kelexu\">@kelexu</a> \nThanks for sharing your solution.\nYour code is a great help for me.</p>\n\n<ul>\n<li><p>This post also looks useful when considering noisy data.\n<a href=\"https://www.kaggle.com/c/freesound-audio-tagging/discussion/77214#latest-453759\">https://www.kaggle.com/c/freesound-audio-tagging/discussion/77214#latest-453759</a></p>\n\n<ol><li><p>The blog of competition host\n<a href=\"http://www.eduardofonseca.net/FSDnoisy18k/\">http://www.eduardofonseca.net/FSDnoisy18k/</a></p></li>\n<li><p>His latest paper about noisy data and noise-robust loss function\n<a href=\"https://arxiv.org/abs/1901.01189\">https://arxiv.org/abs/1901.01189</a></p></li></ol></li>\n</ul>",
      "rawMarkdown": "kelexu \nThanks for sharing your solution.\nYour code is a great help for me.\n\n* This post also looks useful when considering noisy data.\nhttps://www.kaggle.com/c/freesound-audio-tagging/discussion/77214#latest-453759\n\n1. The blog of competition host\nhttp://www.eduardofonseca.net/FSDnoisy18k/\n\n2. His latest paper about noisy data and noise-robust loss function\nhttps://arxiv.org/abs/1901.01189",
      "votes": null
    },
    {
      "id": "510274",
      "postDate": "04/08/2019 22:50:00",
      "content": "<p>Thanks！</p>",
      "rawMarkdown": "Thanks！",
      "votes": null
    },
    {
      "id": "510275",
      "postDate": "04/08/2019 22:50:48",
      "content": "<p>Yes，I agree with you</p>",
      "rawMarkdown": "Yes，I agree with you",
      "votes": null
    },
    {
      "id": "513512",
      "postDate": "04/11/2019 06:52:08",
      "content": "<p>Thank you <a href=\"/kelexu\">@kelexu</a> for sharing the code and the solution of the previous competition. It will certainly be helpful for us.</p>\n\n<p>Adding one more solution from last year - <a href=\"https://www.kaggle.com/c/freesound-audio-tagging/discussion/64262\">this discussion post</a> has the solution of 8th place team from last year. The code for the same is available at\n<a href=\"https://github.com/sainathadapa/kaggle-freesound-audio-tagging\">https://github.com/sainathadapa/kaggle-freesound-audio-tagging</a> </p>",
      "rawMarkdown": "Thank you @kelexu for sharing the code and the solution of the previous competition. It will certainly be helpful for us.\n\nAdding one more solution from last year - [this discussion post](https://www.kaggle.com/c/freesound-audio-tagging/discussion/64262) has the solution of 8th place team from last year. The code for the same is available at\nhttps://github.com/sainathadapa/kaggle-freesound-audio-tagging",
      "votes": null
    },
    {
      "id": "513526",
      "postDate": "04/11/2019 07:04:26",
      "content": "<p>Yes, <a href=\"/sudalairajkumar\">@sudalairajkumar</a>, thanks for the link!</p>",
      "rawMarkdown": "Yes, @sudalairajkumar, thanks for the link!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 508836,
      "author_name": "dhaqui",
      "author_url": "",
      "post_date": "04/06/2019 21:28:49",
      "content": "<p>Thanks for sharing the links.  I found you at private 4th and public 1st ranking. Great! <br>\nIf there is an opportunity in this competition, I would like you to share various findings.</p>",
      "votes": null,
      "replies": [
        {
          "id": 510274,
          "author_name": "kelexu",
          "author_url": "",
          "post_date": "04/08/2019 22:50:00",
          "content": "<p>Thanks！</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 510119,
      "author_name": "maxwell110",
      "author_url": "",
      "post_date": "04/08/2019 17:12:48",
      "content": "<p><a href=\"/kelexu\">@kelexu</a> \nThanks for sharing your solution.\nYour code is a great help for me.</p>\n\n<ul>\n<li><p>This post also looks useful when considering noisy data.\n<a href=\"https://www.kaggle.com/c/freesound-audio-tagging/discussion/77214#latest-453759\">https://www.kaggle.com/c/freesound-audio-tagging/discussion/77214#latest-453759</a></p>\n\n<ol><li><p>The blog of competition host\n<a href=\"http://www.eduardofonseca.net/FSDnoisy18k/\">http://www.eduardofonseca.net/FSDnoisy18k/</a></p></li>\n<li><p>His latest paper about noisy data and noise-robust loss function\n<a href=\"https://arxiv.org/abs/1901.01189\">https://arxiv.org/abs/1901.01189</a></p></li></ol></li>\n</ul>",
      "votes": null,
      "replies": [
        {
          "id": 510275,
          "author_name": "kelexu",
          "author_url": "",
          "post_date": "04/08/2019 22:50:48",
          "content": "<p>Yes，I agree with you</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 513512,
      "author_name": "sudalairajkumar",
      "author_url": "",
      "post_date": "04/11/2019 06:52:08",
      "content": "<p>Thank you <a href=\"/kelexu\">@kelexu</a> for sharing the code and the solution of the previous competition. It will certainly be helpful for us.</p>\n\n<p>Adding one more solution from last year - <a href=\"https://www.kaggle.com/c/freesound-audio-tagging/discussion/64262\">this discussion post</a> has the solution of 8th place team from last year. The code for the same is available at\n<a href=\"https://github.com/sainathadapa/kaggle-freesound-audio-tagging\">https://github.com/sainathadapa/kaggle-freesound-audio-tagging</a> </p>",
      "votes": null,
      "replies": [
        {
          "id": 513526,
          "author_name": "kelexu",
          "author_url": "",
          "post_date": "04/11/2019 07:04:26",
          "content": "<p>Yes, <a href=\"/sudalairajkumar\">@sudalairajkumar</a>, thanks for the link!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "508426": "As this competition is similar to previous one, I believe that previous code can be useful. For example, you can find our solution for last year's competition in the following link.\n\nhttps://www.kaggle.com/c/freesound-audio-tagging/discussion/62634#latest-367166\n\nPS: You can find our code given in\nhttps://github.com/Cocoxili/DCASE2018Task2",
    "508836": "Thanks for sharing the links.  I found you at private 4th and public 1st ranking. Great!  \nIf there is an opportunity in this competition, I would like you to share various findings.",
    "510119": "kelexu \nThanks for sharing your solution.\nYour code is a great help for me.\n\n* This post also looks useful when considering noisy data.\nhttps://www.kaggle.com/c/freesound-audio-tagging/discussion/77214#latest-453759\n\n1. The blog of competition host\nhttp://www.eduardofonseca.net/FSDnoisy18k/\n\n2. His latest paper about noisy data and noise-robust loss function\nhttps://arxiv.org/abs/1901.01189",
    "510274": "Thanks！",
    "510275": "Yes，I agree with you",
    "513512": "Thank you @kelexu for sharing the code and the solution of the previous competition. It will certainly be helpful for us.\n\nAdding one more solution from last year - [this discussion post](https://www.kaggle.com/c/freesound-audio-tagging/discussion/64262) has the solution of 8th place team from last year. The code for the same is available at\nhttps://github.com/sainathadapa/kaggle-freesound-audio-tagging",
    "513526": "Yes, @sudalairajkumar, thanks for the link!"
  },
  "source": "meta"
}