{"id":20990642,"url":"https://github.com/wnjxyk/streaming-papers","last_synced_at":"2026-03-19T18:21:29.423Z","repository":{"id":154800617,"uuid":"499060007","full_name":"WNJXYK/Streaming-Papers","owner":"WNJXYK","description":null,"archived":false,"fork":false,"pushed_at":"2022-09-29T06:01:32.000Z","size":5,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-20T08:11:42.653Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/WNJXYK.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-02T08:47:47.000Z","updated_at":"2022-09-30T06:35:12.000Z","dependencies_parsed_at":"2023-07-25T07:12:01.079Z","dependency_job_id":null,"html_url":"https://github.com/WNJXYK/Streaming-Papers","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WNJXYK%2FStreaming-Papers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WNJXYK%2FStreaming-Papers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WNJXYK%2FStreaming-Papers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/WNJXYK%2FStreaming-Papers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/WNJXYK","download_url":"https://codeload.github.com/WNJXYK/Streaming-Papers/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243401515,"owners_count":20285060,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-19T06:34:50.856Z","updated_at":"2025-12-25T19:41:59.420Z","avatar_url":"https://github.com/WNJXYK.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Weakly Supervised Streaming\n\n## Survey about Streaming Data\n\n| Venue | Title | Links |\n|:-:|:--|:--|\n| CSUR'23 | Scarcity of Labels in Non-Stationary Data Streams: A Survey | [[Paper](https://dl.acm.org/doi/abs/10.1145/3494832)] |\n\n## Inaccurate Supervision\n\n### Noisy Labels\n\n\n| Venue | Title | Links |\n|:-:|:--|:--|\n| ICDM'04 | An adaptive learning approach for noisy data streams | [[Paper](https://www.computer.org/csdl/proceedings-article/icdm/2004/21420351/12OmNAXxX65)] | \n| KDD‘22 | Adaptive Learning for Weakly Labeled Streams | [[Paper](https://www.lamda.nju.edu.cn/zhangzy/KDD%2722_AdaStreams.pdf)] |\n\n\n\n### Partial Labels\n\n| Venue | Title | Links |\n|:-:|:--|:--|\n| PKDD‘20 | Online Partial Label Learning | [[Paper](https://link.springer.com/chapter/10.1007/978-3-030-67661-2_27)] |\n\n## Imcomplete Supervision\n\n### Test-Time Adaptation\n\n| Venue | Title | Links |\n|:-:|:--|:--|\n| 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)] |\n| ICLR'21 | Tent: Fully Test-Time Adaptation by Entropy Minimization | [[Paper](https://openreview.net/forum?id=uXl3bZLkr3c)] [[Code](https://github.com/DequanWang/tent)] |\n| 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)] |\n| 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)] |\n| 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)] |\n| NeurIPS'22 | Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory | [[Paper](https://arxiv.org/pdf/2208.05117.pdf)] |\n| NeurIPS'22 | Test-Time Adaptation via Conjugate Pseudo-labels | [[Paper](https://arxiv.org/pdf/2207.09640.pdf)] [[Code](https://github.com/locuslab/tta_conjugate)] |\n| NeurIPS'22 | MEMO: Test Time Robustness via Adaptation and Augmentation | [[Paper](https://arxiv.org/abs/2110.09506)] |\n| NeurIPS'22 | Test-Time Training with Masked Autoencoders | [[Paper](https://arxiv.org/pdf/2209.07522.pdf)] [[Code](https://arxiv.org/pdf/2209.07522.pdf)] |\n| 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)] |\n\n\n## Inexact Supervision\n\n## Dataset\n\n1. https://users.rowan.edu/~polikar/nse.html\n2. http://www.lamda.nju.edu.cn/data_RFID.ashx\n3. http://people.eecs.berkeley.edu/~shiry/projects/yearbooks/yearbooks.html\n\n## Learning Materials\n\n* [Francesco Orabona, **Introduction to Online Learning** (parameterfree.com)](https://parameterfree.com/lecture-notes-on-online-learning/)\n* [Francesco Orabona and Ashok Cutkosky, **Parameter-free Online Optimization** (ICML'21 Tutorial)](https://parameterfree.com/icml-tutorial/)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwnjxyk%2Fstreaming-papers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwnjxyk%2Fstreaming-papers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwnjxyk%2Fstreaming-papers/lists"}