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| author | Jules Laplace <julescarbon@gmail.com> | 2019-03-30 17:15:01 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2019-03-30 17:15:01 +0100 |
| commit | 05fad21e27edadd80d224bf4a85e99f6005a288a (patch) | |
| tree | 9740ca5d0296ce6e9295cb902e7558fb5102ada3 /site/datasets/citations/laofiw.json | |
| parent | 84d87d9609a0bf5dfa5be1c956b4e6f6f4096c00 (diff) | |
| parent | 4fdf3ae5111c14336148f2b4074701c094976b55 (diff) | |
Merge branch 'master' of asdf.us:megapixels_dev
Diffstat (limited to 'site/datasets/citations/laofiw.json')
| -rw-r--r-- | site/datasets/citations/laofiw.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/laofiw.json b/site/datasets/citations/laofiw.json index 87fe389b..9ca2dae1 100644 --- a/site/datasets/citations/laofiw.json +++ b/site/datasets/citations/laofiw.json @@ -1 +1 @@ -{"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "paper": {"key": "laofiw", "name": "LAOFIW", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "year": "2018"}, "address": {}, "citations": [{"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "4eab317b5ac436a949849ed286baa3de2a541eef", "paper": {"key": "laofiw", "name": "LAOFIW", "title": "Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings", "year": "2018", "addresses": []}, "citations": [{"id": "3c5ba48d25fbe24691ed060fa8f2099cc9eba14f", "title": "Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation", "addresses": [{"name": "Beijing University of Posts and Telecommunications", "source_name": "Beijing University of Posts and Telecommunications", "street_adddress": "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "lat": "39.96014880", "lng": "116.35193921", "type": "edu", "country": "China"}], "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.00194.pdf"], "doi": []}]}
\ No newline at end of file |