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Conformal prediction interval for dynamic time-series
https://github.com/hamrel-cxu/EnbPI
Sequential Predictive Conformal Inference
https://github.com/hamrel-cxu/SPCI-code
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**Submitting author:** @holl- (Philipp Holl)
**Repository:** https://github.com/tum-pbs/PhiML
**Branch with paper.md** (empty if default branch): joss-submission
**Version:** 1.4.0
**Editor:** @mstimb…
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Hi! In your code you calculate the `Lc`
https://github.com/princeton-nlp/CoFiPruning/blob/main/trainer/trainer.py#L682
And you use `expected_size` to calculate `expected_sparsity` , but does i…
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Original Author: @shelby3
Original URL: https://github.com/keean/zenscript/issues/35#issue-243345358
Original Date: July 17, 2017
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Found a bunch of repeated words, many of which appear to be erroneous (e.g. "An event is an an element"). I haven't checked all of them though.
Repeated token 'an' at:
discuss in Section 2.1.1.4…
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**Date accepted:** 2022-09-14
Submitting Author: @joelnitta
Other Package Authors: (delete if none) Shawn Laffan (@shawnlaffan)
Repository: https://github.com/joelnitta/canaper
Version submitted: …
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Hello, Thank you for providing code. But I have a question on how to reproduce the results the 95% sparsity on MNLI with the following commands:
```
TASK=MNLI
SUFFIX=sparsity0.95
EX_CATE=CoFi
PRU…
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Hello, when the uniform magnitude pruning method is set to
"pruning_fn_default_kwargs": {
"block_size": 8,
"target_sparsity": 0.85
},
The model ends up retaining the parameter 0.75, …