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Post a link for a "possibility" reading of your own on the topic of Digital Doubles & You in the Loop [for week 9], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.…
lkcao updated
2 years ago
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I'm once again trying to switch to {marginaleffects}, but have found two cases that are buggy or still very hard to execute (sorry for mixing a bug report with a "discussion"):
``` r
library(afex)…
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**Submitting author:** @BirkhoffG (Hangzhi Guo)
**Repository:** https://github.com/BirkhoffG/jax-relax/
**Branch with paper.md** (empty if default branch): joss
**Version:** v0.2.8
**Editor:** @Fei-Ta…
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IF THE MODEL YOU WOULD LIKE TO SUPPORT IS NOT LISTED BELOW, PLEASE OPEN A NEW ISSUE.
It is often very easy to add support for new models. If you would like to help us do it (thanks!!!), please read…
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### News: 아 지난 주 너무 힘든.....
- [지난 주 못했던 내용 (죄송합니다)](https://github.com/jungwoo-ha/WeeklyArxivTalk/issues/75)
- Conferences
- ICML 2023 리뷰, ACL 2023 리뷰 나왔네요 --> 모두들 파이팅!
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Hi,
I was trying to write a function for computing reinforce loss (as below) when I realized you have this [here](https://github.com/asyml/texar/blob/caa931a276ec215ef85bb1cfc1d486cdf877b1fd/texar/…
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Hi everyone,
This is a small question related to how models are fine-tuned during the first step of training. I see that the default loss function is `losses.CosineSimilarityLoss`. But when generat…
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Hi Team,
Firstly I want to say thank you so much for implementing a truly model-agnostic method for counterfactuals! I've been searching for many months now for a counterfactual tool I can easily …
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Post questions here for this week's fundamental readings: Grimmer, Justin, Molly Roberts, Brandon Stewart. 2022. Text as Data. Princeton University Press: Chapters 23, 24, 25, 26, 27 —“Prediction”, “C…
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