KaosEngineer / PriorNetworks
☆66Updated 5 years ago
Alternatives and similar repositories for PriorNetworks:
Users that are interested in PriorNetworks are comparing it to the libraries listed below
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆139Updated last year
- Belief matching framework official implementation☆40Updated 2 years ago
- ☆40Updated 5 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- ☆21Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- ☆107Updated last year
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆48Updated 3 months ago
- ☆40Updated 5 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- ☆46Updated 4 years ago
- ☆36Updated 3 years ago
- ☆87Updated 3 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 6 years ago
- ☆25Updated 2 years ago