[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
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Updated
Apr 3, 2021 - Python
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
1st place of Kaggle's RSNA Screening Mammography Breast Cancer Detection competition
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
[MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.
[MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
ICSE'18: Tuning Smote
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