[
  {
    "L2 Loss (10^-4)": 3.54,
    "code_links": [
      {
        "title": "felixykliu/NAOMI",
        "url": "https://github.com/felixykliu/NAOMI"
      }
    ],
    "date": "2019-01-30",
    "date2": 20190130,
    "model": "NAOMI",
    "paper": {
      "title": "NAOMI: Non-Autoregressive Multiresolution Sequence Imputation",
      "url": "https://cknow.io/lib/d2e047fe88a65f25"
    },
    "paper_data_uoa": "d2e047fe88a65f25"
  },
  {
    "L2 Loss (10^-4)": 4.51,
    "code_links": [
      {
        "title": "NIPS-BRITS/BRITS",
        "url": "https://github.com/NIPS-BRITS/BRITS"
      },
      {
        "title": "johnypark/TimeSeries",
        "url": "https://github.com/johnypark/TimeSeries"
      }
    ],
    "date": "2018-05-27",
    "date2": 20180527,
    "model": "BRITS (SingleRes)",
    "paper": {
      "title": "BRITS: Bidirectional Recurrent Imputation for Time Series",
      "url": "https://cknow.io/lib/43c9ab335b3fbc26"
    },
    "paper_data_uoa": "43c9ab335b3fbc26"
  },
  {
    "L2 Loss (10^-4)": 6.02,
    "code_links": [],
    "date": "2018-01-01",
    "date2": 20180101,
    "model": "MaskGAN",
    "paper": {
      "title": "MaskGAN: Better Text Generation via Filling in the _______",
      "url": "https://cknow.io/lib/2458d34e1e9ae55b"
    },
    "paper_data_uoa": "2458d34e1e9ae55b"
  },
  {
    "L2 Loss (10^-4)": 15.24,
    "code_links": [],
    "date": "2018-12-01",
    "date2": 20181201,
    "model": "GRUI",
    "paper": {
      "title": "Multivariate Time Series Imputation with Generative Adversarial Networks",
      "url": "https://cknow.io/lib/efdf4f9b873d6d1c"
    },
    "paper_data_uoa": "efdf4f9b873d6d1c"
  }
]