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- Thanks to contributor [layumi](https://github.com/layumi).
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**March 30**: v1.3.0
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- Added a ```batch_size``` parameter to CustomKNN, and fixed a couple of bugs. See the [release notes](https://github.com/KevinMusgrave/pytorch-metric-learning/releases/tag/v1.3.0).
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- Thanks to contributor [cwkeam](https://github.com/cwkeam).
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**February 28**: v1.2.0
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- New loss function: SubCenterArcFaceLoss. See the [release notes](https://github.com/KevinMusgrave/pytorch-metric-learning/releases/tag/v1.2.0).
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- Thanks to contributor [chingisooinar](https://github.com/chingisooinar).
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## Documentation
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-[**View the documentation here**](https://kevinmusgrave.github.io/pytorch-metric-learning/)
@@ -242,7 +242,7 @@ Thanks to the contributors who made pull requests!
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|[vltanh](https://github.com/vltanh)| Made ```InferenceModel.train_indexer``` accept datasets |
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|[btseytlin](https://github.com/btseytlin)|```get_nearest_neighbors``` in [InferenceModel](https://kevinmusgrave.github.io/pytorch-metric-learning/inference_models)|
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|[mlw214](https://github.com/mlw214)| Added ```return_per_class``` to [AccuracyCalculator](https://kevinmusgrave.github.io/pytorch-metric-learning/accuracy_calculation/)|
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