weitongseu / PU-LearningLinks
This repo lists some researches and applications in PU learning.
☆12Updated 5 years ago
Alternatives and similar repositories for PU-Learning
Users that are interested in PU-Learning are comparing it to the libraries listed below
Sorting:
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆17Updated 2 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"☆29Updated 4 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆89Updated 11 months ago
- Source code for ACL2019 paper "Multi-Channel Graph Neural Network for Entity Alignment".☆60Updated 4 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 5 years ago
- Code for Positive-Unlabeled learning.☆35Updated 2 years ago
- ☆38Updated 5 years ago
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.☆31Updated 4 years ago
- PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"☆47Updated 5 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- It is deep recommendation model with attribute-level co-attention, which has been accepted as a short paper in SIGIR2020.☆9Updated 4 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- CGAT: Channel-aware Graph Attention Networks☆20Updated 2 years ago
- Graph Convolutional Networks for Text Classification.☆46Updated 5 years ago
- Source code for SIGIR 2022 paper: CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection.☆9Updated 3 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆22Updated 4 years ago
- Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP☆73Updated 6 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- Pytorch implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB datase…☆42Updated 6 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
- ☆61Updated 4 years ago
- ☆15Updated 6 years ago
- Advances of few-shot learning, especially for NLP applications.☆30Updated 2 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Updated 3 years ago
- Source code and datasets for EMNLP 2019 paper: Jointly Learning Entity and Relation Representations for Entity Alignment.☆39Updated 5 years ago
- Implementation of SetRank in SIGIR 2020☆50Updated 5 years ago
- ☆23Updated 5 years ago