tim5go / awesome-one-class-classificationLinks
A curated list of awesome resources dedicated to One Class Classification.
☆17Updated 4 years ago
Alternatives and similar repositories for awesome-one-class-classification
Users that are interested in awesome-one-class-classification are comparing it to the libraries listed below
Sorting:
- Implementation of dynamic temporal pooling (DTP) for time series classification☆38Updated 3 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆66Updated 3 years ago
- A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models☆27Updated 3 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 5 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆75Updated 6 years ago
- [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☆262Updated 2 years ago
- 1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge…☆47Updated 3 years ago
- 30 Semi-Supervised Learning Algorithms☆212Updated last year
- [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☆111Updated last year
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆110Updated 5 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- AMTML-KD: Adaptive Multi-teacher Multi-level Knowledge Distillation☆66Updated 4 years ago
- Polyloss Pytorch Implementation☆45Updated 3 years ago
- Official data release to reproduce Confident Learning paper results☆40Updated 3 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Updated 4 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 5 years ago
- Energy-based Out-of-distribution Detection☆17Updated 5 years ago
- IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"☆42Updated 3 years ago
- ☆95Updated 3 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42Updated 4 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 5 years ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆45Updated 8 months ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 3 years ago
- Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight☆38Updated 5 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 5 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.☆28Updated 3 years ago
- Code for "Dual Focal Loss for Calibration" (ICML 2023)☆32Updated 9 months ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 -- Distilling a Powerful Student Model via Online Knowledge Distillation☆31Updated 4 years ago