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Dear all, sorry for the simple question, but I am having difficult to find a solution, and maybe this issue appeared here before. But the issue is:
I have the input parameters (Xi) that gives me outp…
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I am running adversarial training on NLP models and I am getting an error " ValueError: Unsupported dataset schema ". When I run the following code:
import textattack
import transformers
from texta…
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BPO | [40028](https://bugs.python.org/issue40028)
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Nosy | @tim-one, @rhettinger, @mdickinson, @vstinner, @tiran, @stevendaprano, @serhiy-storchaka, @remilapeyre, @jfine2358, @sweeneyde, @rrh…
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## Request for Mozilla Position on an Emerging Web Specification
* Specification Title: WebMIDI
* Specification or proposal URL: https://webaudio.github.io/web-midi-api/
* Caniuse.com URL (option…
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@abigailgold Thank you very much for this feature proposal.
We would like to run inference attacks without any access to a model and only a tuple of inputs and labels. Therefore we would like to ex…
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Hi, I am not that experienced in TTS, so I've faced many problem before get the code running with my non-English dataset which has about 10k sentences (~26h long) . However, still some issues and que…
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**Is your feature request related to a problem? Please describe.**
I am trying to apply adversarial attacks on SNN with PGD of foolbox. This attack requires gradients in the model. But error raised:
…
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Thank you for a really great job!
For GAN there are generator and discriminator.I would like to ask if it is possible to use NNI for model compression for this group of networks
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It seems that in stage 2, you used testing images to train your recursive band learning model and recomposs model , right?
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I can run run attack.py and generate adversarial examples without issue but afterwards, when I run record.py, I get the following errors. I am wondering what is record.py actually doing if the adversa…