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Attention Is All You Need

Offers a new simple network architecture, the Transformer, which is
based solely on attention mechanisms.

Transformers are Sample Efficient World Models

Offers a new approach to deep reinforcement learning that is more
sample efficient than previous methods.

Understanding intermediate layers using linear classifier probes

Offers a new insight into neural network models by proposing to
monitor the features at every layer of a model and measure how
suitable they are for classification.