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I have a question: I have searched a lot of information, and there are very few applications of incremental learning in regression tasks. Is this due to some special reason
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https://arxiv.org/abs/2309.15048
https://github.com/linhaowei1/TPL
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**What would you like to be added/modified**:
A benchmark suite for multimodal large language models deployed at the edge using KubeEdge-Ianvs:
1. Modify and adapt the existing edge-cloud data c…
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您好我在看论文的时候发现实验的准确率中的其他方法和原论文有些出入，想了解一下您的实验设计，谢谢
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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**What would you like to be added/modified**:
Sedna is an edge-cloud synergy AI project incubated in KubeEdge SIG AI. Benefiting from the edge-cloud synergy capabilities provided by KubeEdge, Sed…
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## 🐛 Bug Description
## To Reproduce
Steps to reproduce the behavior:
1. create any module with bn or dropout layer
2. run offline training
3. inloop training missed model.eval(), ca…
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I am wondering what configuration was used to produce the results for Split MNIST (incremental domain learning) reported in Table 5. The paper mentions:
> For task learning on Split MNIST we used S…
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I expect the above code to output a model with 100 trees in both cases. However, running this python script instead gives me:
model size before refresh 100
model size after refresh 10
Whi…
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## Introduction
For those who want to apply for LFX mentorship for #48, this is a selection test for the application. This LFX mentorship aims to build lifelong learning benchmarking on KubeEdge-Ia…