deargen / MT-ENet
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
☆19Updated 2 years ago
Alternatives and similar repositories for MT-ENet:
Users that are interested in MT-ENet are comparing it to the libraries listed below
- [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".☆40Updated last year
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆25Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆40Updated 2 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆19Updated 2 years ago
- Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.☆39Updated last year
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆16Updated last year
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆32Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"☆15Updated 3 months ago
- [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆62Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆79Updated last year
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆14Updated 7 months ago
- Weakly Supervised Contrastive Learning☆41Updated 3 years ago
- C-Mixup for NeurIPS 2022☆68Updated last year
- Evidential Deep Learning in PyTorch☆46Updated 2 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…☆76Updated 3 years ago
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆32Updated last year
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Updated 3 years ago
- ☆18Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated 10 months ago
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆30Updated last year
- PyTorch code for Uncertainty-guided Source-free Domain Adaptation☆35Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 3 years ago
- divyakraman / BoMuDA-Boundless-Multi-Source-Domain-Adaptive-Segmentation-in-Unstructured-EnvironmentsCodebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'☆16Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Updated last year
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated last year
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆97Updated 2 years ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆19Updated 2 months ago