RUC-DWBI-ML / CCALLinks
This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.
☆28Updated 2 years ago
Alternatives and similar repositories for CCAL
Users that are interested in CCAL are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆28Updated 3 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 3 years ago
- ☆29Updated 2 years ago
- ☆31Updated 5 months ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆87Updated 2 years ago
- ☆30Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆56Updated last year
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆153Updated 3 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆96Updated 4 years ago
- NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆40Updated 3 years ago
- Official repository for Is your noise correction noisy? PLS: Robustness to label noise with two stage detection WACV 2023☆20Updated 2 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆52Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- ☆19Updated 3 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆97Updated 11 months ago
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆30Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Updated 4 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆54Updated 2 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 3 years ago
- A code framework for implementing UniDA☆24Updated last year
- [CVPR2021] VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning☆13Updated 4 years ago
- CVPR 2022, Robust Contrastive Learning against Noisy Views☆84Updated 3 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆39Updated 3 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year