LydiaXiaohongLi / TriTraining
Tri Training, Tri Training with Disagreement
☆22Updated 6 years ago
Alternatives and similar repositories for TriTraining:
Users that are interested in TriTraining are comparing it to the libraries listed below
- An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…☆74Updated 5 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆44Updated 5 years ago
- The python implementation of tri-triaing☆50Updated 5 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 6 years ago
- Active semi-supervised clustering algorithms for scikit-learn☆98Updated 4 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 6 years ago
- This repo lists some researches and applications in PU learning.☆13Updated 4 years ago
- Code for Positive-Unlabeled learning.☆35Updated 2 years ago
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆14Updated last year
- Stacked Denoising AutoEncoder☆75Updated 5 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 5 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- ☆17Updated 5 years ago
- Comparison of XGBoost, LightGBM and CatBoost on MNIST classification problem☆37Updated 7 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆105Updated 4 years ago
- ☆15Updated last year
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…☆39Updated 5 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆17Updated 5 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 5 years ago
- Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.☆59Updated 6 years ago
- Pytorch implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB datase…☆42Updated 5 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 6 years ago
- Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles☆90Updated 8 years ago
- Python codes for weakly-supervised learning☆122Updated 4 years ago
- Multi-Source Domain Attention☆13Updated 4 years ago
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆23Updated 5 years ago
- ☆37Updated 4 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