Silver-Shen / Stable_Linear_Model_Learning
The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"
☆16Updated 4 years ago
Related projects: ⓘ
- Stable Prediction with Model Misspecification and Agnostic Distribution Shift☆24Updated 4 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆53Updated 6 months ago
- Unsupervised Domain Adaptation on Graphs☆13Updated 2 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 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…☆23Updated 2 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆11Updated 3 months ago
- popular concept drift evaluation datasets☆11Updated 5 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆63Updated 3 years ago
- ☆36Updated last year
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆52Updated last year
- ☆16Updated 2 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆44Updated 2 years ago
- Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21☆15Updated 3 years ago
- Code source for Graph Transfer Learning project developed by Northeastern University's SPIRAL research group☆9Updated 2 years ago
- A pytorch implementation of mpvae.☆13Updated 4 years ago
- The python implementation of tri-triaing☆49Updated 5 years ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 2 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆42Updated 5 months ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆45Updated 2 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆55Updated last year
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆29Updated 2 years ago
- ☆37Updated 5 years ago
- ☆11Updated 2 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 5 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆48Updated 4 years ago
- A curated list of time series augmentation resources.☆64Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆44Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆50Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago