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Is there a way to implement the Bayesian Optimization method of hyperparameter tuning in the (R-based) PLP pipeline?
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When comparing to random sampling it does not seem to give significantly different results. I would have expected the curve to be much higher for active learning. Potentially the defaults aren't great…
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- [ ] [The Scaling Hypothesis · Gwern.net](https://gwern.net/scaling-hypothesis)
# The Scaling Hypothesis · Gwern.net
**DESCRIPTION:** "GPT-3, announced by OpenAI in May 2020, is the largest neura…
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As per discussion in the January e3nn meeting, it is currently difficult to train models with large L. We suspect this is a due to different paths in the network (in1 x in2 -> out... wash, rinse, repe…
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**Electricity Consumption**
https://nbviewer.jupyter.org/github/cs109-energy/cs109-energy.github.io/blob/master/iPython/Exploratory%20Analysis.ipynb
https://machinelearningmastery.com/how-to-load-an…
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I am trying to install altanalyze in a conda environment on linux server. I tried to install directly by `pip install AltAnalyze` but there comes an error:
```
ERROR: Command errored out with exit s…
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Hi,
Thank you for the excellent work.
I wonder to know thst in which part of the code I can find the Uncertainty Estimation.
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**Proceedings**
https://papers.nips.cc/book/advances-in-neural-information-processing-systems-30-2017
https://github.com/catpanda/NIPS_2017
**PaperLists (#Papers 679)**
https://www.dropbox.com/s…