{
  "id": "1808.07049",
  "version": "v1",
  "published": "2018-08-20T21:49:13.000Z",
  "updated": "2018-08-20T21:49:13.000Z",
  "title": "Catastrophic Importance of Catastrophic Forgetting",
  "authors": [
    "Albert Ierusalem"
  ],
  "categories": [
    "cs.LG",
    "cs.AI",
    "stat.ML"
  ],
  "abstract": "This paper describes some of the possibilities of artificial neural networks that open up after solving the problem of catastrophic forgetting. A simple model and reinforcement learning applications of existing methods are also proposed.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2018-08-20T21:49:13.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "catastrophic forgetting",
      "catastrophic importance",
      "artificial neural networks",
      "simple model",
      "reinforcement learning applications"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}