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mixup data augmentation #469
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Summary: Pull Request resolved: facebookresearch#469 This diff implements the mixup data augmentation in the paper `mixup: Beyond Empirical Risk Minimization` (https://arxiv.org/abs/1710.09412) Differential Revision: D20911088 fbshipit-source-id: 479ab9c74b9d326fec0a5f14a6ff82b11a198d54
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Summary: Pull Request resolved: facebookresearch#469 This diff implements the mixup data augmentation in the paper `mixup: Beyond Empirical Risk Minimization` (https://arxiv.org/abs/1710.09412) Empirically, it is much faster to do mixup transform on gpu than doing that on cpu. # Results accuracy gain - 1.0% with 135 training epochs - 1.3% with 270 training epochs [TODO]: fix accuracy meter at training phases. Reviewed By: mannatsingh Differential Revision: D20911088 fbshipit-source-id: bc658b1b8e12b9b5819903d93e07c73bcbe6ddd8
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This pull request was exported from Phabricator. Differential Revision: D20911088 |
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This pull request has been merged in 3539f57. |
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Summary: This diff implements the mixup data augmentation in the paper
mixup: Beyond Empirical Risk Minimization(https://arxiv.org/abs/1710.09412)Differential Revision: D20911088