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When I run the provided script run_toys.sh, an error occurs:
```python
Traceback (most recent call last):
File "E:\Paper\MyGit\tmp\APGL4SR\src\main.py", line 249, in
main()
File "E:\tm…
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# [RFC] Supporting sparse semantic retrieval based on neural models
## Background
Dense retrieval based on neural models has achieved great success in search relevance tasks. However, dense methods …
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I have millions of graph data that cannot be labeled by human efforts. I need it to be classified by unsupervised technique, not semi and not the node level. Is it possible?
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**Achieving Better Kinship Recognition Through Better Baseline**
> The ArcFace [2] model was used for features extraction. This model was pre-trained on cleaned MS-Celeb-1M [3] dataset 3 and has the …
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion**
- summary: Previous r…
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Hi, in your paper you state that you use two loss functions to train the feature extractor (SupCL and SelfSupCL). But in your code I can see 4 losses where there is a cross entropy loss between target…
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I have a 6gb rtx 3060(laptop). I have reduced the batch size to 1. Still, it gives Cuda out of memory. what is the minimum req for the training process?
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Hi,
When repeatedly using SetFit's `train()` / `predict()` inside a loop (for active learning) the GPU memory usage steadily grows (despite that all results have been correctly transferred to the C…
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### Models for spectrograms:
1. **ConvNeXT**: A pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. (https://huggingface.co/docs/transfo…
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Hi authors,
Your project is pretty good! I have a question about how do you perform Contrastive Learning on VPS, will you apply it for stuff queries?
Thanks!