-
Notifications
You must be signed in to change notification settings - Fork 41
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
What is the reason for using negative examples? #57
Comments
Negative samples are not 'wrong' samples. Instead, they are samples that belong to the 'no interaction' categories. Since the original dataset provides a limited annotation for 'no interaction' samples, with these additional negative samples, we can boost our model's ability of distinguishing the difference between samples with interaction and without interaction, in other words, with 'no interaction'. |
thank you for your answer |
Yes, that is correct. |
thank you very much |
Hello
Negative samples have wrong relationships. Therefore minimizing loss does not mean the predictions for these negative samples tend to the wrong relations?What is the reason for using negative examples?
The text was updated successfully, but these errors were encountered: