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☆135Updated last year
- 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
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆37Updated 3 years ago
- Belief matching framework official implementation☆39Updated last year
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Updated 5 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- ☆40Updated 5 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆21Updated last year
- ☆46Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆49Updated 3 years ago
- ☆40Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- ☆87Updated 3 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 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☆85Updated 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
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆36Updated 3 years ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- ☆21Updated last year
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year