-
Dear author,
Thank you for sharing your work and the implementation of the PolypMix method. I’ve been exploring the code and have a question regarding the specific implementation of the mixing betwee…
-
For example, it could help with the regression model (where we have a lot of 'regression' bugs but very few examples of 'non-regression' bugs) or with the bugtype model (where we have, for example, a …
-
# Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
- authors: Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang
- link: https://www.aclweb.org/anthology/P1…
himkt updated
5 years ago
-
| Team Name | Affiliation |
|---|---|
| ZZD | McGill University; McGill University; McGill University |
- Paper: [Classification from Positive, Unlabeled and Biased Negative Data](https://openreview…
-
* [Training Convolutional Networks with Noisy Labels](https:…
dmarx updated
6 years ago
-
Hi,
Instead of having of having unlabeled data which come as a stream, I would like to know if there is a way with libact to perform batch mode active learning meaning that the users can select mul…
-
Thanks for your introduction, as I was looking for a method to classify positive and unlabeled data for long.
I have tried svmlin and got 80.1% accuracy.
Now I want to find another method for result c…
2shou updated
10 years ago