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@@ -153,12 +153,11 @@ Research Paper | Datasets | Metric | Source Code | Year
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<th align="center" width="10%">Year</th>
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<td><a href='https://arxiv.org/pdf/1507.00677.pdf'> DISTRIBUTIONAL SMOOTHING
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WITH VIRTUAL ADVERSARIAL TRAINING </a></td>
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<td align="left">Unsupervised CIFAR 10</td>
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<td align="left">Inception score: 8.80 </td>
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<td align="left"> <a href='https://github.com/tkarras/progressive_growing_of_gans'>Theano</a></td>
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<td align="left">2017</td>
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<td><a href='https://arxiv.org/pdf/1507.00677.pdf'> DISTRIBUTIONAL SMOOTHINGWITH VIRTUAL ADVERSARIAL TRAINING </a></td>
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<td align="left"> <ul><li> SVHN </li><li> NORB </li></ul></td>
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<td align="left"> <ul><li> Test error: 24.63 </li><li> Test error: 9.88 </li></ul> </td>
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<td align="left"> <a href='https://github.com/takerum/vat'>Theano</a></td>
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<td align="left">2016</td>
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<td><a href='http://research.nvidia.com/sites/default/files/publications/karras2017gan-paper-v2.pdf'> PROGRESSIVE GROWING OF GANS FOR IMPROVED
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QUALITY, STABILITY, AND VARIATION </a></td>
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<td align="left"> <ul><li> SVHN </li><li> NORB </li></ul></td>
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<td align="left"> <ul><li> Test error: 24.63 </li><li> Test error: 9.88 </li></ul> </td>
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<td align="left"> <a href='https://github.com/takerum/vat'>Theano</a></td>
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<td><a href='http://research.nvidia.com/sites/default/files/publications/karras2017gan-paper-v2.pdf'> PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION </a></td>
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<td align="left">Unsupervised CIFAR 10</td>
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<td align="left">Inception score: 8.80 </td>
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<td align="left"> <a href='https://github.com/tkarras/progressive_growing_of_gans'>Theano</a></td>
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<td align="left">2017</td>
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