wwydmanski @wwydmanski@qoto.org

The article being "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations"

#ml #datascience

https://dl.acm.org/doi/abs/10.1145/1553374.1553453?casa_token=snmcY-M-QNIAAAAA:hNmBmVum-yqXWLq-Oq7xJRInkIWrDzp8fpz1I9-qpmWfiGOS3q1Q4e13TrwoNJcJXvUYi6oqfF_g

The original comparison of Adam vs AdamW is quite memorable.

On a related note, I absolutely recommend reading through reviews of that publication
https://openreview.net/forum?id=rk6qdGgCZ

#MachineLearning #DataScience

Try out your best approaches, and see you at the leaderboards!
BTW, just a reminder: @AI21Labs's models are legal in the #DILI challenge

#NLP #DataScience #conference
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RT @CAMDA_conf
Final call for abstracts. Present your best work at @ISMBinfo: Take the Camda Challenge – Literature AI, Anti-microbial Resistance, #COVID19 Disease Maps – or share late breaking method papers! Extended abstracts 20 May. 👉http://camda.info @IARAInews @e…
https://twitter.com/CAMDA_conf/status/1524887674246545408

Ahh, the bliss of finding a bug in the function that you've used to optimise hyperparams for the past week.
It's nearly as pleasant as stubbing your toe on a screwdriver's pointy end.

#ML #DataScience