sungbinlim / NeuBootsLinks
Neural Bootstrapper (NeuBoots)
☆25Updated 4 years ago
Alternatives and similar repositories for NeuBoots
Users that are interested in NeuBoots are comparing it to the libraries listed below
Sorting:
- 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☆175Updated last year
- Belief matching framework official implementation☆41Updated 2 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).☆44Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Updated 4 years ago
- ☆38Updated 5 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- ☆111Updated 2 years ago
- Mutual Information Gradient Estimation☆12Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 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
- ☆36Updated 4 years ago
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆18Updated 4 years ago
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- ☆68Updated 6 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 5 years ago
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆33Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- ☆25Updated 6 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆94Updated 5 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☆146Updated 2 years ago
- Generalizing to unseen domains via distribution matching☆73Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- ☆83Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago