ZhiningLiu1998 / mesa
[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
☆105Updated 7 months ago
Alternatives and similar repositories for mesa:
Users that are interested in mesa are comparing it to the libraries listed below
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架☆255Updated 11 months ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆67Updated 3 years ago
- ☆48Updated 3 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated 2 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- ☆88Updated 3 years ago
- ☆40Updated last year
- Implementation of the paper "Shapley Explanation Networks"☆86Updated 4 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆88Updated 4 months ago
- This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…☆76Updated 2 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆41Updated 2 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆65Updated 4 years ago
- A Python Package for Deep Imbalanced Learning☆54Updated last year
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆44Updated 5 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆30Updated 3 years ago
- ☆59Updated 3 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆105Updated 4 years ago
- Code for our paper Self Supervised Learning for Semi Supervised Time Series Classification PAKDD 2020☆16Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆99Updated 4 years ago
- ☆169Updated 7 months ago
- Library of transfer learners and domain-adaptive classifiers.☆90Updated 5 years ago
- [SDM 2022] Towards Similarity-Aware Time-Series Classification☆73Updated last year
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆27Updated 3 years ago
- ☆146Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 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 code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆114Updated 10 months ago