Related Papers
===============

* `Hyperparameter optimization with approximate gradient(HOAG) <https://arxiv.org/abs/1602.02355>`_
* `Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks(MAML) <https://arxiv.org/abs/1703.03400>`_
* `On First-Order Meta-Learning Algorithms(FMAML) <https://arxiv.org/abs/1703.03400>`_
* `Meta-SGD: Learning to Learn Quickly for Few-Shot Learning(Meta-SGD) <https://arxiv.org/pdf/2006.04045.pdf>`_
* `Bilevel Programming for Hyperparameter Optimization and Meta-Learning(RHG) <http://export.arxiv.org/pdf/1806.04910>`_
* `Truncated Back-propagation for Bilevel Optimization(TG) <https://arxiv.org/pdf/1810.10667.pdf>`_
* `Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace(MT-net) <http://proceedings.mlr.press/v80/lee18a/lee18a.pdf>`_
* `Meta-Learning with warped gradient Descent(WarpGrad)) <https://arxiv.org/abs/1909.00025>`_
* `DARTS: Differentiable Architecture Search(DARTS) <https://arxiv.org/pdf/1806.09055.pdf>`_
* `A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton(BDA) <https://arxiv.org/pdf/2006.04045.pdf>`_