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| author | adamhrv <adam@ahprojects.com> | 2019-03-28 20:01:11 +0100 |
|---|---|---|
| committer | adamhrv <adam@ahprojects.com> | 2019-03-28 20:01:11 +0100 |
| commit | 21fd4284ac0f14ec860ccda1032ef380ccfa7b2f (patch) | |
| tree | 6751b86621a1ad76ebab1ffe9f0d1a6ab053bacc /site/datasets/citations/laofiw.json | |
| parent | b2c61d7ebc142b41f8cb15b00764319801d1bf5d (diff) | |
| parent | 5309b381e64f59b8f57014ad41e55d7f87ca0628 (diff) | |
Merge branch 'master' of github.com:adamhrv/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 e6139f14..87fe389b 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"]}]}
\ 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"}, "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 |