https://github.com/vita-group/cil-qud
[TMLR 22] "Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning" by Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Animi, Zhangyang Wang
https://github.com/vita-group/cil-qud
adversarial-robustness class-incremental-learning continue-learning generalization lifelong-learning unlabeled-data
Last synced: 3 months ago
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[TMLR 22] "Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning" by Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Animi, Zhangyang Wang
- Host: GitHub
- URL: https://github.com/vita-group/cil-qud
- Owner: VITA-Group
- License: mit
- Created: 2022-06-03T02:05:10.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-06-03T22:21:17.000Z (about 4 years ago)
- Last Synced: 2025-07-26T04:56:24.457Z (11 months ago)
- Topics: adversarial-robustness, class-incremental-learning, continue-learning, generalization, lifelong-learning, unlabeled-data
- Homepage:
- Size: 2.93 KB
- Stars: 3
- Watchers: 9
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning
Codes for CIL-QUD with KD can be found at [CIL-QUDwKD](https://github.com/VITA-Group/Lifelong-Learning-LTH).
```shell
python -u main_CIL.py
```
Codes for RIL-QUD will come soon!