ScorpioBao / Causal-Learning-and-Uncertainty-Estimation
因果学习、不确定性估计相关资源（论文、代码、数据、博客等）
☆11Updated last year
Alternatives and similar repositories for Causal-Learning-and-Uncertainty-Estimation:
Users that are interested in Causal-Learning-and-Uncertainty-Estimation are comparing it to the libraries listed below
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆18Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆35Updated 2 years ago
- ☆10Updated last year
- Continual Evidential Deep Learning ICCVW 2023☆14Updated last year
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Updated 3 years ago
- Code of CVPR 2023 paper Meta-causal Learning for Single Domain Generalization☆18Updated last year
- Multi-Instance Causal Representation Learning☆16Updated 5 months ago
- NeurIPS 2023: Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation☆9Updated last month
- ☆24Updated 2 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆9Updated 4 years ago
- Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.☆13Updated 11 months ago
- Evidential Deep Learning in PyTorch☆54Updated 2 years ago
- ☆106Updated 3 years ago
- Translation of DeepJDOT into pytorch.☆10Updated 3 years ago
- [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices☆53Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆48Updated last year
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆36Updated 2 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- A curated publication list on evidential deep learning.☆107Updated 2 weeks ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆27Updated last year
- ☆14Updated 3 years ago
- This work studies imbalanced domain generalization.☆12Updated 2 years ago
- AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks☆29Updated last year
- ☆10Updated last year
- 【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".☆27Updated 11 months ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 2 years ago
- Cross Domain Structure Preserving Projection for Heterogeneous Domain Adaptation☆14Updated 2 years ago
- [TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition☆46Updated last year
- [TNNLS 2023] Disentangled Feature Representation for Few-shot Image Classification☆20Updated last year
- ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation☆17Updated 7 months ago