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View Code? Open in Web Editor NEWAn unoffcial pytorch implementation of Generalized Zero-Shot Learning via Disentangled Representation (AAAI'21)
License: MIT License
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aux_cls分类器应该是用来引导VAE进行解纠缠的，所以在训练初始阶段，这个分类器由于参数还未优化，并不能引导VAE是吗
调节随机种子
首先感谢大佬的复现，因为个人能力有限，对文章中的一些细节一直留有疑惑，也一直没能找到disentanglement-VAE的复现。
我昨天跑了一下你的代码，我这边在CUB上最好是0.538，这个主要是随机种子带来的增益，我测试了几个，发现设为1287最好。
我有个疑问，就目前你复现的模型来看，我发现作者提出的shuffle的过程对最终结果的增益似乎并不大，跑出来和CADA-VAE差不多（目前只是就CUB而言）
作者原文中提到的cat(z_p, z_t)实际上真的就是简单的相加吗？这样做真的是有效的decouple吗？
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