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Hi, @tovacinni
Thanks for your work, I have a question about the implementation of dual task loss in loss.py. I think the dual task loss should take the estimation from classical stream N, K, H, W a…
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This issue is focused on the 4.7.1 version of SC2 and its corresponding replay data. Our first objective is to train a CNN encoder -> LSTM -> CNN decoder network from the data that is able to defeat t…
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It is possible to construct reparameterizable mixture distributions by replacing the categorical distribution with a gumbel (relaxed categorical) distribution. The ability to use a relaxed one-hot cat…
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## Description
As requested by @rok-cesnovar I prepared a list of all functions in Stan Math and proposed how to implement them in OpenCL. Most are probably possible using kernel generator.
Legend…
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Hi,
First of all, thank you for this research—I'm really enjoying working with it.
I successfully reproduced the results on the CUB dataset, but I am facing issues with reproducing the results o…
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### Metadata
- Authors: Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
- Organization: CMU and DeepMind
- Conference: NIPS 2018
- Paper: https://arxiv.org/pdf/1805.1174…
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## Abstract
- propose Vector Quantised Variational AutoEncoder (VQ-VAE)
- generative model that learns discrete representations
- prior is learnt rather than static
- solves the issue of "po…
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```
# user 0-1
a_top, a_top_idx = tf.nn.top_k(user_group_embeddings_sum, 1, sorted=False)
user_group_embeddings = tf.cast(tf.equal(user_group_embeddings_sum, a_top), dtype=tf.float32)
u_group_embe…
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Thank you for sharing the dataset and open-source model. Ovis employed VE + Head + Tokenize (essentially a softmax) and subsequently obtained the same hidden dimension features for the LLM.
I remain …
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I encountered a problem during training in dypfn.py:
if laterals_topdown0_decision[:,1] == 1:
RuntimeError: bool value of Tensor with more than one value is ambiguous