[
  {
    "Accuracy": 89,
    "code_links": [
      {
        "title": "jindongwang/transferlearning",
        "url": "https://github.com/jindongwang/transferlearning"
      }
    ],
    "date": "2018-07-19",
    "date2": 20180719,
    "model": "MEDA",
    "paper": {
      "title": "Visual Domain Adaptation with Manifold Embedded Distribution Alignment",
      "url": "https://cknow.io/lib/584764a09e5bd455"
    },
    "paper_data_uoa": "584764a09e5bd455"
  },
  {
    "Accuracy": 88.9,
    "code_links": [
      {
        "title": "jihanyang/AFN",
        "url": "https://github.com/jihanyang/AFN"
      },
      {
        "title": "vt-vl-lab/reading_group",
        "url": "https://github.com/vt-vl-lab/reading_group"
      },
      {
        "title": "Zymrael/paper-notes",
        "url": "https://github.com/Zymrael/paper-notes"
      }
    ],
    "date": "2018-11-19",
    "date2": 20181119,
    "model": "IAFN+ENT",
    "paper": {
      "title": "Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation",
      "url": "https://cknow.io/lib/574db4a94688c507"
    },
    "paper_data_uoa": "574db4a94688c507"
  },
  {
    "Accuracy": 88.3,
    "code_links": [
      {
        "title": "DelTA-Lab-IITK/CADA",
        "url": "https://github.com/DelTA-Lab-IITK/CADA"
      }
    ],
    "date": "2019-06-08",
    "date2": 20190608,
    "model": "CADA",
    "paper": {
      "title": "Attending to Discriminative Certainty for Domain Adaptation",
      "url": "https://cknow.io/lib/bd7dbaa4440ae7e7"
    },
    "paper_data_uoa": "bd7dbaa4440ae7e7"
  }
]