anirudhshenoy / pseudo_labeling_small_datasets
Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")
☆73Updated 5 years ago
Alternatives and similar repositories for pseudo_labeling_small_datasets:
Users that are interested in pseudo_labeling_small_datasets are comparing it to the libraries listed below
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆138Updated 4 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- ☆25Updated 7 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆219Updated 2 years ago
- multilabel-learn: Multilabel-Classification Algorithms☆36Updated 4 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆42Updated 2 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37Updated 3 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆68Updated 3 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago
- A collection of awesome things about mixed sample data augmentation☆131Updated 4 years ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆90Updated last year
- Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond☆79Updated 4 years ago
- Imbalanced Image Classification with Complement Cross Entropy (PRL 21)☆50Updated last year
- This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kor…☆27Updated 3 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆88Updated 3 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆47Updated 2 years ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)