Silver-Shen / Stable_Linear_Model_LearningLinks
The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"
☆17Updated 5 years ago
Alternatives and similar repositories for Stable_Linear_Model_Learning
Users that are interested in Stable_Linear_Model_Learning are comparing it to the libraries listed below
Sorting:
- The python implementation of tri-triaing☆50Updated 6 years ago
- [TMLR23] FedDAG: Federated DAG Structure Learning☆17Updated 2 years ago
- ☆45Updated 6 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆59Updated last year
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆194Updated 3 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆107Updated 4 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆62Updated 5 years ago
- Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering☆14Updated 3 years ago
- Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21☆16Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Counterfactual Regression☆25Updated 9 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Updated last year
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆109Updated last year
- ☆58Updated 3 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆57Updated 4 years ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆70Updated 4 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- Unsupervised Domain Adaptation on Graphs☆15Updated 3 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 3 years ago
- Stable Prediction with Model Misspecification and Agnostic Distribution Shift☆26Updated 5 years ago
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆28Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆92Updated last year
- ☆46Updated 4 years ago
- ☆30Updated 4 months ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆88Updated 2 years ago
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Updated 4 years ago
- popular concept drift evaluation datasets☆11Updated 6 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆174Updated 3 years ago