FlynnYe / UR-ERNLinks
Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024
☆19Updated last year
Alternatives and similar repositories for UR-ERN
Users that are interested in UR-ERN are comparing it to the libraries listed below
Sorting:
- A curated publication list on evidential deep learning.☆129Updated 4 months ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆19Updated last year
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆36Updated 2 years ago
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆47Updated last year
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆24Updated last year
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆31Updated last year
- Evidential Deep Learning in PyTorch☆63Updated 2 years ago
- ☆10Updated last year
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆37Updated 8 months ago
- [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization☆68Updated 3 months ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆60Updated 2 years ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆37Updated 2 years ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆21Updated 9 months ago
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆21Updated 2 months ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆42Updated 9 months ago
- ☆47Updated 8 months ago
- [CVPR 2024] TEA: Test-time Energy Adaptation☆69Updated last year
- Continual Evidential Deep Learning ICCVW 2023☆14Updated last year
- [CVPR 24] This is official implication for our paper: ''CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning''.☆14Updated 4 months ago
- [ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning☆12Updated last year
- The code of "Deep Regression Representation Learning with Topology" in ICML 2024☆13Updated last year
- ☆41Updated 9 months ago
- Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"☆18Updated last year
- A comprehensive collection of open world papers from top tier conferences and journals☆23Updated 8 months ago
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models☆42Updated last year
- [CVPR 2024] Targeted Representation Alignment for Open-World Semi-Supervised Learning☆13Updated 11 months ago
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆19Updated 3 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆62Updated 2 years ago
- [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities☆64Updated 3 months ago