MengyuanChen21 / Awesome-Evidential-Deep-Learning
A curated publication list on evidential deep learning.
☆84Updated last month
Alternatives and similar repositories for Awesome-Evidential-Deep-Learning:
Users that are interested in Awesome-Evidential-Deep-Learning are comparing it to the libraries listed below
- [NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models☆34Updated 4 months ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆36Updated 3 months ago
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆24Updated 7 months ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆46Updated last year
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆57Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆91Updated 2 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆16Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆20Updated 6 months ago
- An awesome paper list of Semi-Supervised Learning under realistic settings.☆108Updated 3 months ago
- [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition☆72Updated 5 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 10 months ago
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆34Updated 2 months ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆59Updated 2 years ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆20Updated 3 months ago
- [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization☆56Updated 3 weeks ago
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆36Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆64Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆96Updated 3 years ago
- [NeurIPS 2023] Focus Your Attention when Few-Shot Classification☆16Updated last year
- ☆43Updated 2 months ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆24Updated 8 months ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆64Updated 6 months ago
- Paper of out of distribution detection and generalization☆56Updated last year
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆78Updated 11 months ago
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆42Updated last year
- A curated list of awesome out-of-distribution detection resources.☆34Updated 2 months ago
- [ICML23] On Pitfalls of Test-Time Adaptation☆113Updated 10 months ago
- ☆31Updated 3 months ago
- Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)☆17Updated 8 months ago
- ☆13Updated last year