Bibliography (12):

1. https://www.youtube.com/watch?v=P_xeshTnPZg

2. https://github.com/google-deepmind/deepmind-research/tree/master/perceiver

3. Perceiver IO: A General Architecture for Structured Inputs & Outputs

4. Hierarchical Perceiver

5. Universal Transformers

6. Attention Is All You Need

7. Deep Residual Learning for Image Recognition

8. ImageNet Large Scale Visual Recognition Challenge

9. Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

10. ​ ‘self-attention’ directory

11. Wikipedia Bibliography:

    1. Prior probability

    2. Latent and observable variables