Aboriginer / EOE
[ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
☆13Updated 3 weeks ago
Alternatives and similar repositories for EOE:
Users that are interested in EOE are comparing it to the libraries listed below
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated last year
- ☆24Updated last year
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆12Updated 3 weeks ago
- translation of VHL repo in paddle☆25Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- ☆25Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆47Updated last year
- ☆28Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆52Updated 2 years ago
- ☆16Updated 2 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆36Updated last year
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆48Updated 2 years ago
- ☆42Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆55Updated 2 years ago
- ☆17Updated 9 months ago
- (Pytorch) Training ResNets on ImageNet-100 data☆56Updated 3 years ago
- A collection of model transferability estimation methods.☆26Updated 4 months ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆34Updated last year
- Source code for NeurIPS 2022 paper SoLar☆27Updated last year
- ☆48Updated 2 years ago
- ☆84Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated last year
- ☆23Updated last year
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 2 years ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆53Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆52Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year