IDN
AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise (by chenpf1025)
fitting-random-labels
Example code for the paper "Understanding deep learning requires rethinking generalization" (by pluskid)
| IDN | fitting-random-labels | |
|---|---|---|
| 1 | 1 | |
| 32 | 176 | |
| - | - | |
| 10.0 | 10.0 | |
| almost 3 years ago | almost 4 years ago | |
| Python | Python | |
| - | MIT License |
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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.
fitting-random-labels
Posts with mentions or reviews of fitting-random-labels.
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/1611.03530 found: https://github.com/pluskid/fitting-random-labels