IDN
AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise (by chenpf1025)
ProSelfLC
noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation. [Moved to: https://github.com/XinshaoAmosWang/ProSelfLC-AT] (by XinshaoAmosWang)
IDN | ProSelfLC | |
---|---|---|
1 | 1 | |
32 | 50 | |
- | - | |
10.0 | 10.0 | |
almost 3 years ago | over 1 year ago | |
Python | HTML | |
- | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
IDN
Posts with mentions or reviews of IDN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-10.
ProSelfLC
Posts with mentions or reviews of ProSelfLC.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-10.
-
[Research] Deep Critical Learning (i.e., Deep Robustness) In The Era of Big Data
Code for https://arxiv.org/abs/2005.03788 found: https://github.com/XinshaoAmosWang/ProSelfLC
What are some alternatives?
When comparing IDN and ProSelfLC you can also consider the following projects:
fitting-random-labels - Example code for the paper "Understanding deep learning requires rethinking generalization"
ProSelfLC-AT - noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.