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Congrats to the Cambrian team on your acceptance to NeurIPS! This is a significant achievement, and it's a testament to the hard work and innovation you've put into the project.
### Issue Descripti…
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Here are some thoughts concerning fairness evaluation:
### Protected attributes
*Extraction*: As methodologies may implement pre-, in- or post-processing to enhance algorithmic fairness, I think w…
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After an initial submission on 28th June 2024, I resubmitted the application on 16th July 2024.
Then we received the following feedback about our grant application on 22nd July 2024:
> Currently…
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Thank you very much for your work @zorazrw !!!
Honestly, very impressive!
I see that you're using auto eval and it uses gpt-3.5
My questions are:
1. Why did you use auto eval instead of taking t…
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Hello, I would like to ask how to use evaluators in up-fastdownward? For example, if I want to execute
./fast-downward.py domain.pddl task.pddl --evaluator "hff=ff()" --evaluator "hcea=cea()" --sear…
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Hi Zechun,
great work!
Could you please share the details about the evaluation code? like which codebase was used to run inference etc.
thank you,
Kalyani
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Created the following sequential palette: #008696, #0d9797, #42a799, #65b69c, #86c5a1, #a5d4a9, #c4e2b4, #e2f1c2, #ffffd4
- [x] It fails color name discriminability (of course). Arguably, this shou…
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If I have downloaded the pretrained models, how to evaluate on PeopleSnapshot? I have tried running this code: `python eval.py --cfg exps/snapshot_"$SCENE".yaml --type view`. However, the metrics are …
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Is there an easy way to visualize the result?