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Update 2023-01-11_forward.rst
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Un article intéressant :

`The Forward-Forward Algorithm: Some Preliminary Investigations
<https://www.cs.toronto.edu/~hinton/FFA13.pdf>`_
* `The Forward-Forward Algorithm: Some Preliminary Investigations
<https://www.cs.toronto.edu/~hinton/FFA13.pdf>`_
* `Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
<https://proceedings.mlr.press/v9/gutmann10a.html>`_

Et d'autres papiers :

* `A Succinct Summary of Reinforcement Learning
<https://arxiv.org/abs/2301.01379>`_
* `Top ML Papers of the Week (Jan 1-8)
<https://github.com/dair-ai/ML-Papers-of-the-Week>`_
* `sparseml <https://github.com/neuralmagic/sparseml>`_
* `solo-learn <https://github.com/vturrisi/solo-learn>`_
* `deepchecks <https://github.com/deepchecks/deepchecks>`_

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