MengyuanChen21 / Awesome-Evidential-Deep-Learning
A curated publication list on evidential deep learning.
☆77Updated 2 weeks ago
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☆33Updated 3 months ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆36Updated 2 months ago
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆33Updated last month
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆16Updated last year
- [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization☆54Updated 6 months ago
- ☆40Updated last month
- This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024☆24Updated 6 months ago
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆30Updated 3 months ago
- A curated list of most recent papers & codes in Learning with Partial/Complementary Labels☆51Updated last month
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆42Updated last year
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆19Updated 5 months ago
- Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"☆58Updated 2 years ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆21Updated 6 months ago
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆57Updated 3 months ago
- Reliable Conflictive Multi-view Learning☆72Updated 10 months ago
- The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…☆22Updated 8 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆61Updated 5 months ago
- PMR: Prototypical Modal Rebalance for Multimodal Learning☆35Updated last year
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆95Updated 3 years ago
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆67Updated 3 weeks ago
- Code for the paper Visual Explanations of Image–Text Representations via Multi-Modal Information Bottleneck Attribution☆41Updated 10 months ago
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆22Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆46Updated 4 months ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆32Updated last year
- [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition☆71Updated 4 months ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆62Updated 5 months ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆84Updated 9 months ago
- The repo for "MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance", ICML 2024☆38Updated 7 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆57Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆63Updated last year