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### 😎 Responsibility
@wh4044, @juk1329 , @Glanceyes
### 💡Issue
- @juk1329님이 실험한 LightGCN으로 문제 추천 결과 Inference 시 유저의 성향에 과도하게 편향된 결과가 나온다는 보고가 있었습니다.
- LightGCN의 학습된 유저 또는 태그 임베딩을 Multi-D…
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Code up a demo of the Variational AutoEncoder for the MNIST data set.
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Why does the Latent Diffusion Model use **variational autoencoders (VAE)** or similar generative models like **VQ-GAN/VAE** for compression instead of using **AutoEncoder (AE)?** If AE can be consider…
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Hi ZLeopard,
Thank you for providing this code coupled with your paper Simplex Variational Autoencoder!
Just as a quick note, engine/inference.py is empty, could you provide the inference code?…
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There is a comment on this post addressing it. I'm not sure if my implementation fixes it: https://towardsdatascience.com/variational-autoencoder-demystified-with-pytorch-implementation-3a06bee395ed
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Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split which is the same way as 2018WWW-Variational autoencoders for collaborative filteri…
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Hi,when i run this code ,i got error!
/root/miniconda3/bin/python /root/PycharmProjects/variational-autoencoder/main.py
Traceback (most recent call last):
File "/root/PycharmProjects/variationa…
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Link mistake in VAE method:
Gradient-based methods
- An explicit loss-based method described in [Mothilal et al. (2020)](https://arxiv.org/abs/1905.07697) (Default for deep learning models).
…
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Hi,
Where can i find the parameter json file. Thanks.
Sean
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Hello! I'm very interested in using these models (especially the conditioned variational autoencoder), and thank you for your work!
I saw in a thread that in 2020 a tutorial was made for this. Where…