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## 一言でいうと
知識グラフで使用されるTransEを、画像(強化学習の状態認識)+複数要素認識に対応させた研究。TransEではトリプルの構成要素をベクトルにして演算で関係を表現するが(吾輩+職業=猫等)、それを状態+行動=次状態という強化学習の文脈に読み替え画像=>ベクトル時に特徴マップを対応要素に分け処理している
![image](https://user-images.git…
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https://arxiv.org/abs/1807.03748
~big fan of Aaron van den Oord~
# Abstract
- propose universal unsupervised learning approach to extract useful representations from high-dimensional data, **CPC(…
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Hello.
I'm trying to figure out (based on the source code of the `train` method of `SetFitTrainer`) if it is possible to perform hyperparameter search on the (first) contrastive learning finetunin…
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Hi, thanks for the great work!
As I read through the paper I noticed there is no specific loss function dedicated to the z_i , the output from the identity encoder.
Considering that the size of …
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논문제목 :Time Series Representation Learning with Contrastive Triplet Selection
분야 : timeseries representation, contrastive learning
논문 링크 : https://dl.acm.org/doi/10.1145/3493700.3493711
발표 자료 : http…
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Thank you for sharing a good paper.
In the paper, if you look at the result of the experiment in Fig 6,
there is a vision only test result,
and it was said that the performance would be improved…
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Hello,
This code is consuming tens of gigabytes of RAM and VRAM (more than 40GB of RAM and 35GB of VRAM). Any reason why? I used the "lowest" model and then it works fine... but using 35GB of VRAM …
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Recently I came across some papers on molecular contrastive learning, and it is my great pleasure to find a paper written by your team, named **_Molecular Contrastive Learning of Representations via G…
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I have tried a two-tower model (user and query) in a real industrial scenario using contrastive learning. The samples are all actual click samples, and the loss function is InfoNCE. I have a few quest…
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Hi here,
Thank you for the tool, I'm currently trying to train 3D brain medical images, and I am using the `DenseNet121` model and the `neg_partial_log_likelihood` loss function, and everything is no…