News for hackers. Stuff that matters.
Re:A new model and dataset for long-range memory by gwern on Monday February 10, 2020 @02:47PM (#22292519)
They probably won't since DM doesn't open-source most of its work. The authors claimed way back in November that they'd at least open-source the code (https://openreview.net/forum?id=SylKikSYDH) but nothing yet. (The model isn't so big that open-sourcing it is all that important. It's no Turing-NLG https://www.microsoft.com/en-us/research/blog/turing-nlg-a-1... that's for sure!)

In the mean time, there's always Reformer, which has Trax and PyTorch implementations.

Re:A new model and dataset for long-range memory by hooande on Monday February 10, 2020 @04:25PM (#22293539)
I believe the transformer-xl pre-trained model can also be downloaded, to provide a similar long term memory functionality as the compression transformer. I don't have a direct link, but it's available via huggingface https://huggingface.co/transformers/pretrained_models.html
Re:A new model and dataset for long-range memory by gwern on Tuesday February 11, 2020 @01:49PM (#22301323)
Yeah. I didn't mention Transformer-XL because I'm not sure how much of a long-range dependency it actually learns to handle. The only papers I've seen on recurrency indicate that they tend to learn very short-range dependencies, while something like Reformer with direct access to thousands of timesteps seems more likely to actually be making use of them.
Re:A new model and dataset for long-range memory by ColanR on Monday February 10, 2020 @05:00PM (#22293857)
Wow, that's a lot of models. Thanks for pointing that out.