byeonghu-na / vae-puLinks
Official Tensorflow implementation for Deep Generative Positive-Unlabeled Learning under Selection Bias (VAE-PU) in CIKM 2020.
☆14Updated 3 years ago
Alternatives and similar repositories for vae-pu
Users that are interested in vae-pu are comparing it to the libraries listed below
Sorting:
- Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21☆15Updated 4 years ago
- Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends [NeurIPS 2023]☆10Updated last year
- PyTorch implementation of Dist-PU (CVPR 2022)☆27Updated 3 years ago
- A PyTorch implementation of the Variational approach for PU learning☆30Updated 4 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆90Updated last year
- ☆12Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- ICLR 2022 paper☆15Updated 3 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24Updated 4 years ago
- Code for Online Graph Dictionary Learning☆17Updated 3 years ago
- This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization☆12Updated 2 years ago
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆21Updated 3 years ago
- Weakly Supervised Contrastive Learning☆43Updated 3 years ago
- [KDD'22] Partial Label Learning with Discrimination Augmentation☆10Updated last year
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 11 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 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
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- ☆10Updated 3 years ago
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Updated 2 years ago
- ☆31Updated 3 years ago
- The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"☆35Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- A pytorch implementation of mpvae.☆13Updated 5 years ago