icml-mcbn / mcbn
☆53Updated 6 years ago
Alternatives and similar repositories for mcbn:
Users that are interested in mcbn are comparing it to the libraries listed below
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆60Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- ☆40Updated 5 years ago
- Uncertainty interpretations of the neural network☆32Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆34Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆101Updated last year
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆66Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Implementation of the Unsupervised learning by predicting noise paper☆14Updated 7 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- This repository is no longer maintained. Check☆81Updated 4 years ago
- ☆46Updated 2 years ago
- ☆25Updated 2 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated last year
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago