deebuls / deep_evidential_regression_loss_pytorch

Related projects: ⓘ

• ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
  Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…
  ☆74Updated 3 years ago
• hmi88 / what
  Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
  ☆155Updated 5 years ago
• atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
  Work on Evidential Deep Learning to Quantify Classification Uncertainty
  ☆55Updated 5 years ago
• hurrialice / uncertainties
  AM207 project: dissect aleatoric and epistemic uncertainty
  ☆79Updated 4 years ago
• pmorerio / dl-uncertainty
  "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
  ☆207Updated 4 years ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆39Updated last year
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆19Updated 2 years ago
• fregu856 / regression_uncertainty
  Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.
  ☆18Updated 5 months ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆73Updated 2 years ago
• Jiachen-T-Wang / dirichlet-priornet
  Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.
  ☆27Updated 4 years ago
• pasteurlabs / unreasonable_effective_der
  Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
  ☆22Updated last year
• KaosEngineer / PriorNetworks-OLD
  ☆37Updated 5 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆93Updated 3 years ago
• deargen / MT-ENet
  Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
  ☆18Updated 2 years ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆28Updated last year
• AnthonyRentsch / calibrated_regression
  A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.
  ☆51Updated 4 years ago
• DLR-RM / curvature
  Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.
  ☆30Updated 3 years ago
• yliess86 / BayeFormers
  General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…
  ☆41Updated 3 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆32Updated last year
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆55Updated 5 years ago
• icml-mcbn / mcbn
  ☆53Updated 6 years ago
• ENSTA-U2IS-AI / LDU
  Latent Discriminant deterministic Uncertainty [ECCV2022]
  ☆39Updated 2 years ago
• ezjong / lightprobnets
  LightProbNets
  ☆26Updated 4 years ago
• LucasBoTang / GradNorm
  PyTorch implementation of the GradNorm
  ☆61Updated 2 weeks ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆267Updated 2 years ago
• lorenmt / auto-lambda
  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
  ☆128Updated last year
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆73Updated 3 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆121Updated last year
• KaosEngineer / PriorNetworks
  ☆65Updated 4 years ago
• nikitadurasov / masksembles
  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
  ☆98Updated 7 months ago