razvancaramalau / Sequential-GCN-for-Active-Learning
☆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
- [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 3 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 4 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆83Updated 2 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆61Updated 4 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 2 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆89Updated 3 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- ☆44Updated 3 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆100Updated 8 months ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆97Updated 2 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆92Updated 6 months ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆218Updated 4 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆36Updated 3 years ago
- State-Relabeling Adversarial Active Learning☆13Updated 3 years ago
- Laplacian Regularized Few Shot Learning☆82Updated 2 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago
- The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.☆58Updated 3 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆126Updated last year
- Variational Adversarial Active Learning (ICCV 2019)☆230Updated last year
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆234Updated last year
- Meta Label Correction for Noisy Label Learning☆85Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆206Updated 10 months ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆126Updated 5 years ago
- ☆7Updated 4 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆52Updated 2 years ago
- [CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition☆159Updated 4 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 4 years ago