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https://huggingface.co/collections/cl-nagoya/ruri-japanese-general-text-embeddings-66cf1f3ee0c8028b89d85b5e
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Hi,
Thank you for this implementation. It is my understanding that some contrastive frameworks build upon entropy maximization, which leads to inapplicability in the contexts of imbalanced datasets…
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em chào các anh ạ, em có đọc code của các anh về bài toán retrieval Văn bản pháp luật của zalo 2021, em thấy các anh sử dụng Contrastive Loss ạ. Em có một số câu hỏi mong được chỉ giáo về kinh nghiệm…
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![image](https://github.com/tntek/source-free-domain-adaptation/assets/32037129/bd54b184-45a3-4339-8495-14c3d1d2a9b0)
Hi, thanks for your great work.
I have a question after reading the paper and …
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Here are some ideas and potential areas of research for Tensort:
- Model analysis and interpretability: Develop new techniques for analyzing and understanding what large language models have learned …
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Dear author,
I am confused about the feature vectors used in contrastive learning. The teacher's feature vectors are simply obtained using the projection head g. Why use the projection head g and t…
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Hi,
I noticed that in the code implementaion, there is a (232,) feature for each trajectory at each timestep. When scoring and classifying the difficulty of the trajectory we only have one score pe…
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proto_nce_loss = self.proto_reg * (proto_nce_loss_user + proto_nce_loss_item)
你好,请问在进行Contrastive Learning with Semantic Neighbors时,你的self.proto_reg这个参数设置得很小,请问有什么规律吗
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Hi,Below line 114 of flatclr.py, no matter what the value of v is, the value of loss_vec will be a vector of all ones. Therefore, in line 119, loss_vec.mean()-1 must be 0. So what is the significance …
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Dear authors,
I have read your paper and still do not have deep understanding of how to pretrain CHIEF model. My confusion is in pretraining method and want to discuss this method.
- I wish to v…