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这篇论文是谷歌出品的又一个很有意义的工作。该文提出了一个非常简单的方法,来提高模型在vision-language和vision的表示能力。该方法通过对原始语料进行简单处理从而获得大规模的噪声数据集,接着采用对比学习的方法在一个非常基础的dual-encoder模型进行预训练(image caption任务)。该模型现在在许多任务上都刷新了SOTA。
## 信息
- 主要作者:Chao Ji…
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可否share一下所有图表的原始文件?
13.1
- [x] 简单语句的修改、增加Flower的介绍
- [x] 联邦迁移学习的Clarification,放到展望里来写
13.2
- [x] FedAvg存在的问题, e.g., [SCAFFOLD, ICML 2020](https://arxiv.org/abs/1910.06378)和一些改进的方法, e.g., [FED…
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This issue serves as an umbrella issue for integrating networks from LTSF-Linear. Deep learning has proven to be an effective way to predict time series data. To expand this type of forecasting in skt…
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I probably found an issue with the indexing of categories at coco evaluation. This might cause interchanged results for each category which would also affect AP(novel) and AP(base) since it is unknown…
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- https://arxiv.org/pdf/2404.16710
- Diagram
![Screenshot 2024-10-30 at 9 29 59 PM](https://github.com/user-attachments/assets/425cf827-0a2d-4ac4-9884-1a454e0e6b04)
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Data selection methods, such as active learning and core-set selection, are useful and important tools for machine learning on large datasets. Major AI/ML conferences such as NeurIPS and ICML have con…
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There's been quite a bit of interesting work recently looking at natural gradients for variational inference with exponential family q-distributions, with non-conjugate / non-exponential family likeli…
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Dear Author,
Thanks very much for sharing this work! I am wondering about the “acgnn.py” file. Would you like to share more details about the ACGNN model? Is there any reference for it? Thanks!
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* ChatGPT is a chat system based on Open AI' language model GPT-3, or Generative Pre-training Transformer 3.
* It may respond to inquiries like tourism recommendations, translations, summarizing, and…
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Thank you for your great feature selection method. However, I found that your method might lead to such a situation that the same features could be selected for multiple times. For example, after trai…