deeplearning-wisc / multi-label-oodLinks
☆44Updated 3 years ago
Alternatives and similar repositories for multi-label-ood
Users that are interested in multi-label-ood are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021☆74Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆24Updated 4 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Updated last year
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆148Updated 3 years ago
- the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"☆40Updated 3 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆35Updated 2 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆91Updated 3 years ago
- ☆58Updated 2 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Updated 3 years ago
- [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition☆62Updated 2 years ago
- Papers about long-tailed tasks☆89Updated 2 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆22Updated 3 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- ☆12Updated 3 years ago
- A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆25Updated 2 years ago
- ☆7Updated 4 years ago
- [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective☆24Updated 4 years ago
- Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"☆25Updated 3 years ago
- ☆61Updated 3 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)☆61Updated last year
- Code for "Balanced Knowledge Distillation for Long-tailed Learning"☆27Updated last year