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Weekly readings, essays, field notes, events, and shared resources.

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Idrisadmin

Field notes

A few things worth keeping from this week, mostly unedited.

  • The light in the front room, four o'clock.

  • That thing Wren said about the tide.

  • The paper everyone should actually read: Attention Is All You Need

Small pages, kept small — that's the whole idea.

not everything needs a caption
some of it just needs to be kept
A paper
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, et al.
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the…
arXiv
Marafounder
For posterity.
Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)
Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)
Idrisadmin
Reading group pick for next week?
A paper
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, et al.
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the…
arXiv
Juno
Reminder, background reading if anyone's curious: https://en.wikipedia.org — no real link, just testing that bare URLs auto-link.