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## 一言でいうと
観測データをモデル化する確率過程とニューラルネットを組み合わせた手法。確率過程の代表格であるガウス過程では観測点から分散共分散を計算しモデル化を行うが、分散共分散の更新を行うには既存のデータ点を確保しておく必要がある。そこでEncoder/Decoderの枠組みで、データ点=>ベクトル表現=>ベクトル表現を集約=>Decoderで復元、という形でNN化している。
!…
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Paper: https://arxiv.org/abs/1807.01613
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> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
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Description:
- Train a conditional GAN to generate Tibetan glyphs using conditional glyphs from another font the model uses as input.
- Glyph generation with cGAN involves creating new glyphs in a s…
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### Is your feature request related to a problem? Please describe
A common use case in semantic search is chunking of large (unstructured) documents where documents get broken into smaller chunks and…
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When the `conditional` argument is `False`, i.e. when dynamic circuits are not used, a `cz` gate should be applied to adjacent qubits to perform the pooling function. The adjacent qubits must be in pa…
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## 0. Paper
@incollection{NIPS2016_6571,
title = {Exponential Family Embeddings},
author = {Rudolph, Maja and Ruiz, Francisco and Mandt, Stephan and Blei, David},
booktitle = {Advances in Neural I…
a1da4 updated
4 years ago
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GPRs lend themselves well to the ``fit()``, ``predict()`` methodology. Moreover, a well-done GPR will enable this package to be used for kriging, which has been used for the [solution of PDEs](https:/…
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[You posted on Reddit](https://www.reddit.com/r/MachineLearning/comments/l4rnfv/p_why_are_stacked_autoencoders_still_a_thing/).
I think this is very cool.
In the Reddit post you ask if you misse…
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Thanks for your repo!!! I am applying your crfasrnn with deeplab-v2 for outdoor scene segmentation and compare it the post-processing CRF. Accoring to the introduction of the original auto (Suai Zhen,…