xinyuewangg / DGCMMLinks
☆14Updated 3 years ago
Alternatives and similar repositories for DGCMM
Users that are interested in DGCMM are comparing it to the libraries listed below
Sorting:
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Updated 3 years ago
- NeurIPS 2023: Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation☆9Updated 3 months ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆18Updated last year
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆44Updated last year
- A PyTorch implementation of the Variational approach for PU learning☆29Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated last month
- AAAI 2023: Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks☆31Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated 2 years ago
- Code of CVPR 2023 paper Meta-causal Learning for Single Domain Generalization☆19Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated last year
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆29Updated 5 years ago
- Code for "Dual Focal Loss for Calibration" (ICML 2023)☆31Updated 2 months ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆51Updated 2 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆28Updated 3 years ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- MetaMix for ICML 2021☆27Updated 4 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Updated 3 years ago
- This work studies imbalanced domain generalization.☆12Updated 2 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Updated 4 years ago
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆38Updated last year
- [TNNLS 2023] Disentangled Feature Representation for Few-shot Image Classification☆20Updated last year
- Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)☆19Updated 4 years ago
- Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.☆13Updated last year
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- [ICLR 2022] Graph-Relational Domain Adaptation☆44Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆36Updated 2 years ago
- ☆28Updated last year
- ☆14Updated last year
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆26Updated 2 years ago