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Thanks for your impressive work. There is still one thing that I can't figure out. According to the setting of continual learning, when learning on the current task, the data from previous tasks is un…
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Hi,
Your work is amazing! I'm wondering whether you are going to release the code for :1. Data-free pruning 2. Data-free Knowledge Transfer 3. Data-free Continual Learning.
Thanks!
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### Links
- Paper : https://arxiv.org/abs/2204.01186
### 한 줄 요약
- feature map과 label을 저장할 수 있는 충분한 크기의 data storage만 있다면 fine-tuning에 대한 cost가 필요 없으며 continual learning 측면에서 성능이 좋은 knn-based imag…
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Thank you very much for developing this plugin. It's very convenient for me to map it to a large knob on my controller, making it easy to control live parameters. However, there's been an issue bother…
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
1 month ago
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Hello everyone!
I am using TensorRT **8.2** and the **Python API** to build a _YOLOv5_ model with multiple branches.
Specifically, each convolutional layer has multiple branches (but only **one*…
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Related areas: continual learning OCR
Paper name/title: MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
Paper link: https://arxiv.org/abs/2305.14758
Code link: https…
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Sorry to bother you. I tried the code as
python IDM_cifar100.py --ipc=10
and did not change any of the default parameters.
The result of this experiment is:
"Run 1 experiments, train on ConvNet_…
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**Hi Matthias**
@mperkonigg,
I hope you are doing well with your plans/works
**Why do you need base training when you can train on dataset A and evaluate on testing set itself? And then you ca…
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**Background Motivation:**
Currently, Avalanche library lacks comprehensive support for time series data, which has become increasingly popular in industrial settings and language models.
To addr…