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Hello,
I have a couple of questions regarding your setup.
First, in your code (run_train_beam_retr.sh), the batch size during training for beam retrieval is set to 8, while in your paper, the ba…
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Fantastic work!
Could you please tell me when the new model and checkpoints will be released? My collaborators and I are looking forward to taking advantages of this great work :)
Thank you very muc…
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Hi Chengzhi and Kevin,
Thank you so much for this great repo!
I'm wondering how to best reproduce the *supervised* ResNet experiments?
I want to train the ResNet from scratch, not using an S…
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## Description
This issue summarizes some early experiments with supervised pre-training SC segmentations.
WIP branch: [nk/jv_vit_unetr_ssl](https://github.com/ivadomed/model-seg-dcm/tree/nk/jv_…
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[Strategies for pre-training graph neural networks](https://arxiv.org/abs/1905.12265)
```bib
@article{hu2019strategies,
title={Strategies for pre-training graph neural networks},
author={Hu, W…
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Reproducing your paper, I have a question on experiments for self-supervised PITS.
For self-supervised PITS, did you use the equal input sequence length for time series forecasting experiment in Ta…
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Hello.
At startup
> `python supervised_baseline.py
> Tracebace (most recen…
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Dear Authors,
Thanks for your great work in semi-supervised medical image segmentation.
I am interested in the implement details of experiments very much.
Could the code will be released soon?
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Hi Noah, I'm reproducing your work, generally I view reflexion as some kind of in-context few-shot sft/rl, which requires supervised signals (either from environment or label) . However, in your code,…
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Hi
It seems that there is a potential issue in VOT evaluation or I missed something.
A unsupervised VOT evaluation will require results from *experiments='supervised'*
could I only run unsupervised…