deargen / MT-ENetLinks
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
☆20Updated 3 years ago
Alternatives and similar repositories for MT-ENet
Users that are interested in MT-ENet are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆43Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Updated 3 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Updated 3 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Updated 3 years ago
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆49Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated 2 years ago
- Evidential Deep Learning in PyTorch☆68Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Updated 2 years ago
- C-Mixup for NeurIPS 2022☆73Updated 2 years ago
- Implementation of Deep evidential regression paper☆58Updated 5 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆73Updated 3 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆53Updated 4 years ago
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆21Updated last year
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 4 years ago
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"☆16Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Updated 5 months ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Updated last year
- Implementation of Multi-View Information Bottleneck☆137Updated 5 years ago
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆35Updated 3 years ago
- ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionPytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆79Updated 4 years ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆24Updated last year
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Updated 5 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Updated 2 years ago
- The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023☆54Updated 2 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆106Updated 3 years ago
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆43Updated last year
- ☆37Updated 2 years ago