# Study background/Related Work

## Machine Learning
* [ ] [Domain-Adversarial Training of Neural Networks](https://arxiv.org/abs/1505.07818)

## Attention
* [ ] [Attention Is All You Need](https://arxiv.org/abs/1706.03762)

## Artifact removal

* [X] [Removing electroencephalographic artifacts by blind source separation](https://onlinelibrary.wiley.com/doi/abs/10.1111/1469-8986.3720163?casa_token=nk5kHJubPUgAAAAA:nl4Ssv4JEmbDytiydetpjWRM5FWf_3XrmGKX4gG7SzSV1k3h0PkbM8aIYigZ6xOASVbex7RevwbimKj6)
* [X] [Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings](ieeexplore.ieee.org/abstract/document/8768041?casa_t)
* [X] [ICLabel: An automated electroencephalographic independent component classifier, dataset, and website](https://www.sciencedirect.com/science/article/abs/pii/S1053811919304185)

## ICA
* [ ] [Independent Component Analysis by minimization of mutual information](http://www.ccs.neu.edu/home/jaa/CS6800.11F/Topics/Papers/Hyvarinen97.pdf)

## Mutual information
* [X] [MINE: Mutual Information Neural Estimation](https://arxiv.org/abs/1801.04062)
* [X] [Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI](https://arxiv.org/abs/1910.07747)
* [ ] [Learning deep representations by mutual information estimation and maximization](https://arxiv.org/abs/1808.06670)