snowood1 / wenn
Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for wenn
- ☆11Updated 3 years ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆14Updated 2 years ago
- MLTI for ICLR 2022☆30Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆39Updated last year
- MetaMix for ICML 2021☆27Updated 3 years ago
- ☆30Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆50Updated 7 months ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆23Updated last year
- ☆42Updated 2 years ago
- Survey for Distribution Shift☆18Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 3 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 2 years ago
- ☆22Updated 2 years ago
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆31Updated 2 years ago
- Source code of a ICML2021 paper, A Bit More Bayesian: Domain-Invariant Learning with Uncertainty☆12Updated 2 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆14Updated 11 months ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆27Updated 4 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆43Updated 7 months ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 5 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆36Updated last year
- ☆16Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆19Updated last year
- ☆17Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆42Updated last year
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆19Updated 2 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆40Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆30Updated last year
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- ☆15Updated 2 years ago