RylanSchaeffer / HarvardAM207-prior-networks
Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks
☆12Updated 5 years ago
Alternatives and similar repositories for HarvardAM207-prior-networks:
Users that are interested in HarvardAM207-prior-networks are comparing it to the libraries listed below
- ☆66Updated 5 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆139Updated last year
- ☆21Updated 2 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆30Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆41Updated 2 years ago
- Belief matching framework official implementation☆39Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- ☆40Updated 5 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆18Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- ☆25Updated 3 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆101Updated last year
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆40Updated 2 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆48Updated 3 months ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆30Updated 4 years ago
- ☆45Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- ☆107Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆40Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year