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Dumb question:
How does setfit compare with other approaches for sentence classification in low data settings? Two that may be worth comparing to:
- Various techniques for [augmented SBERT](http…
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Hi! I found that the augmentation "add edge" may not support for the mini-batch graph-level contrastive learning. In my understanding, edges should be added for each graph in the mini-batch case. Coul…
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The new [MusicLM](https://arxiv.org/abs/2301.11325) relies on an audio CLIP named [MuLaN](https://arxiv.org/abs/2208.12415)
I will build out an initial implementation [here](https://github.com/luci…
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Nice to see contrastive learning used in music area, is there any length limit? Is it possible to get meaningful representation (for example, hundreds dimension vector) of song (few minutes long) with…
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```
# Load a SetFit model from Hub
model = SetFitModel.from_pretrained(
"/content/drive/MyDrive/custom_model",
use_differentiable_head=True,
head_params={"out_features": 2},
)
model…
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It appears the number of devices is hardcoded:
https://github.com/berenslab/t-simcne/blob/e2988f5cb2c86c321e5bad3bc1c968200097def0/tsimcne/tsimcne.py#L481
https://github.com/berenslab/t-simcne/b…
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Greeting!
I am a bit confused about the code after I read your paper. In your paper, you use unsupervised learning and k-means to test the accuracy. However, the code is contrastive learning (unsup…
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**General Interpretability:**
- [interpretable ml book](https://christophm.github.io/interpretable-ml-book/shapley.html), specifically sections on `learned features`, `Shapley values`, `Influential I…
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Hi @FlamieZhu
Could the v1/v2/v3 input data be the same for the proposed BCL algorithm? Or must the v2/v3 be with same input different from v1 data augmentation? What's the influence of the same v…
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I saw your interesting work 'Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19' and was wondering if you finished optimizing and arranging your code.
I wanted to check…