.. _sphx_glr_auto_tutorials_Post_Hoc_Methods:

.. _Post_Hoc_Methods_examples:

Post-hoc Methods
----------------

Tutorials focused on improving model with post-hoc techniques.



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    <div class="sphx-glr-thumbnails">

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    <div class="sphx-glr-thumbcontainer" tooltip="We evaluate the model&#x27;s performance both before and after applying different conformal predictors (THR, APS, RAPS), and visualize how conformal prediction estimates the prediction sets.">

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  .. image:: /auto_tutorials/Post_Hoc_Methods/images/thumb/sphx_glr_tutorial_conformal_thumb.png
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  :ref:`sphx_glr_auto_tutorials_Post_Hoc_Methods_tutorial_conformal.py`

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      <div class="sphx-glr-thumbnail-title">Conformal Prediction on CIFAR-10 with TorchUncertainty</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="In this tutorial, we use TorchUncertainty to improve the calibration of the top-label predictions and the reliability of the underlying neural network.">

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  .. image:: /auto_tutorials/Post_Hoc_Methods/images/thumb/sphx_glr_tutorial_scaler_thumb.png
    :alt:

  :ref:`sphx_glr_auto_tutorials_Post_Hoc_Methods_tutorial_scaler.py`

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      <div class="sphx-glr-thumbnail-title">Improve Top-label Calibration with Temperature Scaling</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /auto_tutorials/Post_Hoc_Methods/tutorial_conformal
   /auto_tutorials/Post_Hoc_Methods/tutorial_scaler