https://github.com/wnjxyk/streaming-papers
https://github.com/wnjxyk/streaming-papers
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/wnjxyk/streaming-papers
- Owner: WNJXYK
- License: mit
- Created: 2022-06-02T08:47:47.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-09-29T06:01:32.000Z (over 3 years ago)
- Last Synced: 2025-01-20T08:11:42.653Z (over 1 year ago)
- Size: 4.88 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Weakly Supervised Streaming
## Survey about Streaming Data
| Venue | Title | Links |
|:-:|:--|:--|
| CSUR'23 | Scarcity of Labels in Non-Stationary Data Streams: A Survey | [[Paper](https://dl.acm.org/doi/abs/10.1145/3494832)] |
## Inaccurate Supervision
### Noisy Labels
| Venue | Title | Links |
|:-:|:--|:--|
| ICDM'04 | An adaptive learning approach for noisy data streams | [[Paper](https://www.computer.org/csdl/proceedings-article/icdm/2004/21420351/12OmNAXxX65)] |
| KDD‘22 | Adaptive Learning for Weakly Labeled Streams | [[Paper](https://www.lamda.nju.edu.cn/zhangzy/KDD%2722_AdaStreams.pdf)] |
### Partial Labels
| Venue | Title | Links |
|:-:|:--|:--|
| PKDD‘20 | Online Partial Label Learning | [[Paper](https://link.springer.com/chapter/10.1007/978-3-030-67661-2_27)] |
## Imcomplete Supervision
### Test-Time Adaptation
| Venue | Title | Links |
|:-:|:--|:--|
| ICML'20 | Test-Time Training with Self-Supervision for Generalization under Distribution Shifts | [[Paper](https://proceedings.mlr.press/v119/sun20b.html)] [[Code1](https://github.com/yueatsprograms/ttt_imagenet_release),[Code2](https://github.com/yueatsprograms/ttt_cifar_release)] |
| ICLR'21 | Tent: Fully Test-Time Adaptation by Entropy Minimization | [[Paper](https://openreview.net/forum?id=uXl3bZLkr3c)] [[Code](https://github.com/DequanWang/tent)] |
| CVPR'22 | Parameter-Free Online Test-Time Adaptation | [[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Boudiaf_Parameter-Free_Online_Test-Time_Adaptation_CVPR_2022_paper.pdf)] [Code](https://github.com/fiveai/LAME)] |
| CVPR'22 | Continual Test-Time Domain Adaptation | [[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Continual_Test-Time_Domain_Adaptation_CVPR_2022_paper.pdf)] [[Code](https://github.com/qinenergy/cotta)] |
| ICML'22 | Efficient Test-Time Model Adaptation without Forgetting | [[Paper](https://proceedings.mlr.press/v162/niu22a/niu22a.pdf)] [[Code](https://github.com/mr-eggplant/EATA)] |
| NeurIPS'22 | Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory | [[Paper](https://arxiv.org/pdf/2208.05117.pdf)] |
| NeurIPS'22 | Test-Time Adaptation via Conjugate Pseudo-labels | [[Paper](https://arxiv.org/pdf/2207.09640.pdf)] [[Code](https://github.com/locuslab/tta_conjugate)] |
| NeurIPS'22 | MEMO: Test Time Robustness via Adaptation and Augmentation | [[Paper](https://arxiv.org/abs/2110.09506)] |
| NeurIPS'22 | Test-Time Training with Masked Autoencoders | [[Paper](https://arxiv.org/pdf/2209.07522.pdf)] [[Code](https://arxiv.org/pdf/2209.07522.pdf)] |
| NeurIPS'22 | Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering | [[Paper](https://arxiv.org/pdf/2206.02721.pdf)] [[Code](https://github.com/Gorilla-Lab-SCUT/TTAC)] |
## Inexact Supervision
## Dataset
1. https://users.rowan.edu/~polikar/nse.html
2. http://www.lamda.nju.edu.cn/data_RFID.ashx
3. http://people.eecs.berkeley.edu/~shiry/projects/yearbooks/yearbooks.html
## Learning Materials
* [Francesco Orabona, **Introduction to Online Learning** (parameterfree.com)](https://parameterfree.com/lecture-notes-on-online-learning/)
* [Francesco Orabona and Ashok Cutkosky, **Parameter-free Online Optimization** (ICML'21 Tutorial)](https://parameterfree.com/icml-tutorial/)