Haoang97 / MEDI
Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very Limited Data".
☆17Updated last year
Alternatives and similar repositories for MEDI:
Users that are interested in MEDI are comparing it to the libraries listed below
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆23Updated 4 years ago
- Code for ComEx (CVPR 2022)☆11Updated 2 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆36Updated last year
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆33Updated last year
- ☆17Updated 2 years ago
- ☆32Updated last year
- Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".☆19Updated 2 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 2 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆27Updated last year
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆39Updated last year
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆40Updated 3 years ago
- Tensorflow Implementation on Paper [AAAI2020]Semi-Supervised Learning under Class Distribution Mismatch☆15Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated last year
- CDS: Cross-Domain Self-supervised Pre-training☆26Updated 3 years ago
- ☆43Updated 3 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆19Updated 2 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆20Updated 3 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆37Updated 3 months ago
- This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization☆21Updated 3 years ago
- Benchmarks for semi-supervised domain generalization.☆68Updated 2 years ago
- ☆46Updated last year
- ☆59Updated 2 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆48Updated last year
- [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation☆16Updated last year
- ☆37Updated 3 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆74Updated 2 years ago
- [ICCV 2021] Code release for "Semantic Concentration for Domain adaptation"☆22Updated 3 years ago
- ☆58Updated last year
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆51Updated 2 years ago