sungbinlim / NeuBootsLinks
Neural Bootstrapper (NeuBoots)
☆25Updated 3 years ago
Alternatives and similar repositories for NeuBoots
Users that are interested in NeuBoots are comparing it to the libraries listed below
Sorting:
- Belief matching framework official implementation☆40Updated 2 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 4 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆174Updated last year
- The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).☆43Updated 2 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Updated 4 years ago
- ☆66Updated 5 years ago
- ☆38Updated 4 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Updated 2 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆32Updated 2 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- ☆38Updated 9 months ago
- Official Implementation of SWAD (NeurIPS 2021)☆166Updated 2 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Updated 3 years ago
- ☆24Updated 6 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆53Updated 3 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 3 years ago
- ☆36Updated 4 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆91Updated 4 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- ☆89Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 5 years ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Updated 2 years ago
- ☆40Updated 5 years ago