Stomach-ache / PU-Learning
This repo lists some researches and applications in PU learning.
☆13Updated 4 years ago
Alternatives and similar repositories for PU-Learning:
Users that are interested in PU-Learning are comparing it to the libraries listed below
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆14Updated last year
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆87Updated 6 months 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
- Code for Positive-Unlabeled learning.☆36Updated 2 years ago
- ☆23Updated 5 years ago
- Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".☆21Updated 2 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 5 years ago
- ☆38Updated 4 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆21Updated 4 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆48Updated 4 years ago
- LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)☆13Updated 2 years ago
- bilinear graph neural network☆29Updated 4 years ago
- Meta-Learning for Few Shot Link Prediction☆49Updated 4 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆65Updated 3 years ago
- Pytorch implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB datase…☆42Updated 5 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
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Updated last year
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Implementation of SetRank in SIGIR 2020☆50Updated 4 years ago
- CGAT: Channel-aware Graph Attention Networks☆20Updated last year
- Explainable recommendation via interpretable feature mapping☆18Updated 4 years ago
- The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"☆30Updated 3 years ago
- The code and data of SIGIR21 paper "Package Recommendation with Intra- and Inter-Package Attention Networks".☆12Updated 3 years ago
- Symmetric Metric Learning with Adaptive Margin for Recommendation☆36Updated 5 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆44Updated 11 months ago
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 7 years ago
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.☆31Updated 4 years ago
- The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).☆11Updated 2 years ago