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### Links
- Paper : https://arxiv.org/abs/2002.05709
- Github : https://github.com/google-research/simclr
### 한 줄 요약
- Image augmentation을 활용한 contrastive learning framework 제안
### 선택 이유
- c…
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Hello authors,
Thank you for the awesome work.
In your implementation, you set the upper threshold to 0.98 and the lower one to 0.97.
Can you explain your choice or any advice on the best thr…
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* 논문제목 : SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting
* 분야 : time series
* 논문 링크 : https://arxiv.org/pdf/2303.18205.pdf
* 발표 자료 : https://cottony-wedelia-967.no…
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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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- https://arxiv.org/abs/2104.07689
- CVPRW 2021
教師なし画像間翻訳タスクは,対になっていない学習データからソースドメインXとターゲットドメインYの間のマッピングを見つけることを目的としている.
CUT(Contrastive Learning for Unpaired image-to-image Translation)は、両方の領域に対…
e4exp updated
3 years ago
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# Summary
#### Link
[Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions](https://openreview.net/forum?id=Ud3DSz72nYR)
#### Author/Institution
Zhengxian Lin, Ki…
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Hi there,
I was searching how people implemented CLIP and found this repo. Problems/differences with the loss function based on the [CLIP Paper](https://arxiv.org/pdf/2103.00020.pdf):
1) If you …
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Presentation slides: https://docs.google.com/presentation/d/1UUC56AFV6-b5c_bdOu9Whto0HwHTJRf2uwYgvPgNsbI/edit?usp=sharing
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Hi!
Why do you use the theshold (0.5) in cal_CIoU, although the training doesn't give any information about the 0.5? In other words, is it just from the hyp-param tunning, or reasoned from mathemat…
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## 🚀 Feature
Request to add two graph self-supervised methods to Pytorch Geometric:
(1) heuristic designed graph self-supervised tasks (ICML'20): https://arxiv.org/abs/2006.09136;
code: https:/…