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

• MengyuanChen21 / NeurIPS2024-CSP
  [NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
  ☆36Updated 7 months ago
• MengyuanChen21 / ICLR2024-REDL
  [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
  ☆38Updated 6 months ago
• XLearning-SCU / 2024-ICLR-READ
  Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
  ☆34Updated 5 months ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• RabbitBoss / Awesome-Realistic-Semi-Supervised-Learning
  An awesome paper list of Semi-Supervised Learning under realistic settings.
  ☆116Updated 6 months ago
• donghao51 / SimMMDG
  [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
  ☆61Updated 2 weeks ago
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• donghao51 / MultiOOD
  [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities
  ☆57Updated 2 weeks ago
• mala-lab / COCL
  Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
  ☆18Updated 11 months ago
• Justherozen / TRAILER
  [CVPR 2024] Targeted Representation Alignment for Open-World Semi-Supervised Learning
  ☆13Updated 8 months ago
• FlynnYe / UR-ERN
  Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024
  ☆16Updated 11 months ago
• jeff024 / PALM
  This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024
  ☆28Updated 10 months ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• LeapLabTHU / ProCo
  [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
  ☆79Updated 8 months ago
• Eaaguilart / cedl
  Continual Evidential Deep Learning ICCVW 2023
  ☆14Updated last year
• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆23Updated 9 months ago
• QingyangZhang / awesome-low-quality-multimodal-learning
  ☆46Updated 5 months ago
• MarcLafon / gallop
  Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.
  ☆44Updated 7 months ago
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆35Updated 2 years ago
• kaist-dmlab / pcb
  Official PyTorch Implementation for Active Prompt Learning in Vision Language Models
  ☆33Updated 11 months ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆61Updated last year
• jokersio-tsy / CroSel
  [CVPR 24] This is official implication for our paper: ''CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning''.
  ☆14Updated last month
• DawnLIU35 / FSCIL-ASP
  Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)
  ☆28Updated 10 months ago
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆60Updated 2 years ago
• shuolucs / Awesome-Out-Of-Distribution-Detection
  A curated list of awesome out-of-distribution detection resources.
  ☆45Updated this week
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆36Updated 6 months ago
• ynanwu / MetaGCD
  ☆14Updated last year
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated last year
• CVMI-Lab / SimGCD
  (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study
  ☆107Updated last year
• SarahRastegar / Open-World-Papers
  A comprehensive collection of open world papers from top tier conferences and journals
  ☆21Updated 5 months ago