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
  ☆39Updated 8 months ago
• MengyuanChen21 / ICLR2024-REDL
  [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
  ☆41Updated 7 months ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• donghao51 / SimMMDG
  [NeurIPS 2023] SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization
  ☆62Updated last month
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆49Updated last year
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆60Updated 2 years ago
• XLearning-SCU / 2024-ICLR-READ
  Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
  ☆35Updated 6 months ago
• LeapLabTHU / ProCo
  [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
  ☆80Updated 8 months ago
• donghao51 / MultiOOD
  [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities
  ☆59Updated last month
• BIT-DA / DUC
  [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"
  ☆35Updated 2 years 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
• jiajunsi / RCML
  Reliable Conflictive Multi-view Learning
  ☆84Updated last year
• deeplearning-wisc / opencon
  Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
  ☆37Updated 2 years ago
• RabbitBoss / Awesome-Realistic-Semi-Supervised-Learning
  An awesome paper list of Semi-Supervised Learning under realistic settings.
  ☆117Updated 7 months ago
• Gank0078 / ACR
  Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)
  ☆71Updated 2 years ago
• FlynnYe / UR-ERN
  Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024
  ☆16Updated 11 months ago
• CVMI-Lab / SimGCD
  (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study
  ☆110Updated last year
• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆26Updated 9 months ago
• BIT-DA / CIRL
  [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
  ☆152Updated 2 years ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated last year
• kleinzcy / Cr-KD-NCD
  ☆16Updated 7 months ago
• MarcLafon / gallop
  Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.
  ☆45Updated 8 months ago
• Hzzone / TCL
  Twin Contrastive Learning with Noisy Labels (CVPR 2023)
  ☆70Updated last year
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆99Updated 3 years ago
• ynanwu / MetaGCD
  ☆14Updated last year
• DTennant / GPC
  ☆22Updated 8 months ago
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆61Updated 2 years ago
• mala-lab / COCL
  Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
  ☆18Updated last year
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆61Updated last year