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Hello, Thanks for your nice work!
Where can I get the SVHN and MNIST dataset you used.
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Looking at the instructions it seems like I should only make these following changes when trying to get the specificity on new unlabeled data:
In train.py:
if params.test_data=="twitter":
_,x…
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**What :**
How to support domain specific Abbreviation and Synonym when using a sentence transformer embedding model ?
Fine tuning would be one method, If yes then Can anyone tell what will be th…
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[Improved text ranking with few shot prompting](https://blog.vespa.ai/improving-text-ranking-with-few-shot-prompting/)
- This blog post discusses using large language models (LLMs) to generate labe…
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## Review
### 一、论文
#### 看了一个有趣的工作 [Generating Instance Segmentation Annotation by Geometry-guided GAN](https://arxiv.org/abs/1801.08839)
作者是上海交通大学的卢策吾团队。用三维重建+物理引擎建模+保有几何信息的特殊GAN 来生成特定场景下的 In…
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Thanks for your great work.
I use the model in Tranfer-Learning-Library and the method in DEV to search the best learning rate.
When I select the hyperparameters, the validation set separated from t…
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How to continue the pretraining of Sentence-BERT models using MLM?
Is there any documentation or code snippet for this purpose?
I would like to continue the pretraining of "all-MiniLM-L6-v2" mode…
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Oral:
- [x] Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas S. Hu…
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Hello, the diversity ratio is measured by the mean predicted category number dividing the mean ground-truth category number. Is there a code to calculate the diversity ratio? Thanks.
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Great works!
May I know the source of the dataset you used in your paper and in this repo.? I noticed that you cited Blitzer et al.'s work in ACL2007 as the source of the dataset in your paper but t…