razvancaramalau / Sequential-GCN-for-Active-LearningLinks
☆54Updated 2 years ago
Alternatives and similar repositories for Sequential-GCN-for-Active-Learning
Users that are interested in Sequential-GCN-for-Active-Learning are comparing it to the libraries listed below
Sorting:
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 2 months ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 5 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆63Updated 5 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated 10 months ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆102Updated 4 years ago
- The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.☆58Updated 3 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆236Updated 2 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆94Updated 8 months ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆219Updated 4 years ago
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆270Updated 3 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆35Updated 3 years ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆136Updated 2 years ago
- clustering☆115Updated 6 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆161Updated 4 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 3 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆85Updated 6 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated 2 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆52Updated 4 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Papers about long-tailed tasks☆89Updated 2 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆89Updated 10 months ago
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year