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I trained with a smaller batch size (6) for 10 epochs.
For the domain from kitchen to electronics, I only get 83.33% acc on the evaluation set, which is 90+ in the paper. Although I know the batch…
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# Learning Transferable Visual Models From Natural Language Supervision
2021年2月,OpenAI把GPT上的经验搬到图像上来
Contrastive在于mini-batch中的例子图文(LI)两两形成的对比例子
最后在大量数据上,用数据和一段对称的伪代码(两组softmax)形成的Pre-trained模型。
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Hi,
Thanks for sharing the code. This is a discussion not a code issue.
I'm wondering whether you have tried plug in other backbone instead of TSM with the proposed contrastive learning? I have…
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https://virtual2023.aclweb.org/paper_P2125.html
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Hi, I'm a newbie to contrastive learning and I'm sorry to bother you again. I have doubts about the implementation of `contrastive_loss` in `mmseg/models/losses/contrastive_loss.py`.
I have notice…
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Hi, Thanks for your nice work.
I have some questions about T-SNE visualization.
1. What's the meaning of each point in the T-SNE visualization map of your paper. (Each point is a pixel feature?). As…
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Hi,
Thanks for the contribution and updated code on Supervised Contrastive Learning.
My question is related to this part of the loss:
https://github.com/google-research/syn-rep-learn/blob/main…
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Hi there!
I was wondering whether you can provide a range for typically "good" values to use/test for the argument num_epochs both in the single label classification case and the multi label classifi…
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Thanks for your valuable work, In line https://github.com/pykt-team/pykt-toolkit/blob/6dd373c78cad755d63a5e6050d04940ef181520f/pykt/models/evaluate_model.py#L1316,
DTransformer has the following bug…
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Hey @Lillliant,
I found a paper titled "Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure" from EMNLP'22. It focuses on a generation-based method using T5 …