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@@ -9,9 +9,18 @@ You can find the list of the latter on my [Google Scholar](https://scholar.googl
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Every model must inherit `inclearn.models.base.IncrementalLearner`.
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## Small Task Incremental Learning
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<div align="center">
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Under review, preprint on arXiv [here](https://arxiv.org/abs/2004.13513).
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# PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
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[![Paper](https://img.shields.io/badge/arXiv-2004.13513-brightgreen)](https://arxiv.org/abs/2004.13513)
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![ECCV](https://img.shields.io/badge/ECCC-2020-blue)]
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</div>
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![podnet](images/podnet.png)
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![podnet plot](images/podnet_plot.png)
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If you use this paper/code in your research, please consider citing us:
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Furthermore several options files are available to reproduce the ablations showcased
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in the paper. Please see the directory `./options/podnet/ablations/`.
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## Insight From the Future for Continual Learning
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<div align="center">
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# Insight From the Future for Continual Learning
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[![Paper](https://img.shields.io/badge/arXiv-2006.13748-brightgreen)](https://arxiv.org/abs/2006.13748)
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![Preprint](https://img.shields.io/badge/Preprint-2020-blue)]
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</div>
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Under review, preprint on arXiv [here](https://arxiv.org/abs/2006.13748).
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![ghost](images/ghost.png)
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If you use this paper/code in your research, please consider citing us:
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images/ghost.png

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images/podnet.png

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images/podnet_plot.png

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