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Interesting paper! Wondering how the classifier will behave if someone come up with a new XXGan not included in the eval_config.py? We found the pre-trained models failed to ID images generated using …
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Addresses https://github.com/pyro-ppl/pyro/pull/2929
See [design doc](https://docs.google.com/document/d/1MVfG0po7M5UB2mNM2In6iKKq_OYNpa_I-FnJncUgXPI)
This issue tracks changes needed to efficient…
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Dear Mohammad Javad and Jean-Christophe Gagnon-Audet, @MohammadJavadD, @jc-audet
I want to thank you for delivering this fascinating research in Out-of-Distribution Generalization in Time Series.
…
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You say that using a very broad prior distribution leads to insufficient regularization and thus overfitting. I'm guessing you have in mind using the MAP estimator. But this isn't a Bayesian thing t…
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Hi Authors, recently I am doing a comparison between HIVE and InstructPix2Pix. To my surprise HIVE is not working that good as compared to InstructPix2Pix. It is even quite off compared to it. I am re…
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Seems like scipy has some circular statistics support that might overlap with astropy a little. However, API is not exactly the same and I am not sure if both sides cover all the same use cases. There…
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Hi,
Thanks for providing this awesome work open source!
I would like to ask for your advice on something. I have input RGB and sparse depth which typically looks like this (from ScanNet). Here, th…
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I noticed that the current toolkit only supports Conv2D and Dense models. But in practical application and research, we often use time series data to predict. So I want to know whether this theory is …
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### Summary
Sparsity, like quantization, offers increased model performance at the expense of some model quality. However, it is not as widely used / researched as a technique, despite offering sim…
jcaip updated
2 months ago
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I am submitting this issue on behalf of the FAIR-Impact community, and per suggestion of (@agbeltran).
We would like to reuse DCAT for describing catalogs semantic resources, creating a profile for…