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README.md

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## News
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**June 9**: v1.4.0
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- Added [InstanceLoss](https://kevinmusgrave.github.io/pytorch-metric-learning/losses/#instanceloss).
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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/)
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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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| [layumi](https://github.com/layumi) | Added [InstanceLoss](https://kevinmusgrave.github.io/pytorch-metric-learning/losses/#instanceloss) |
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| [layumi](https://github.com/layumi) | [InstanceLoss](https://kevinmusgrave.github.io/pytorch-metric-learning/losses/#instanceloss) |
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| [z1w](https://github.com/z1w) | |
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| [thinline72](https://github.com/thinline72) | |
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| [tpanum](https://github.com/tpanum) | |

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