peimengsui / semi_supervised_mnist
☆25Updated 8 years ago
Alternatives and similar repositories for semi_supervised_mnist:
Users that are interested in semi_supervised_mnist are comparing it to the libraries listed below
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- ☆19Updated 3 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37Updated 3 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- A straightforward mechanism to implement cost sensitive losses in pytorch☆47Updated 2 years ago
- Official repository for ACCV 2020 paper 'Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance'☆18Updated 3 years ago
- Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond☆80Updated 4 years ago
- Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)☆42Updated 4 years ago
- ☆59Updated 3 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago
- Imbalanced Image Classification with Complement Cross Entropy (PRL 21)☆50Updated 2 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- The code of "Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering", ECML-PKDD 2020.☆21Updated 2 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆32Updated 3 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆90Updated 9 months ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- ☆11Updated 3 years ago
- PyTorch implementation of DCSS: Deep Clustering with Self-supervision using Pairwise Data Similarities☆29Updated 2 years ago
- ☆14Updated 3 years ago
- multilabel-learn: Multilabel-Classification Algorithms☆36Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- code for EMNLP2018 paper 'Associative-multichannel-autoencoder for multimodal word representation'☆13Updated 6 years ago
- a simple pytorch implement of Multi-Sample Dropout☆57Updated 5 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆42Updated 2 years ago
- Implementation of the Siamese Neural Networks in PyTorch using MNIST dataset☆34Updated last year
- Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.☆34Updated 2 years ago