raj-shah / BayesianCNN
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015
☆35Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for BayesianCNN
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆135Updated 6 years ago
- Classification uncertainty using Bayesian neural networks☆33Updated 8 years ago
- model uncertainty using mc dropout☆20Updated 5 years ago
- Replication of the paper "Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference" - Yarin Gal, Zoubin Gh…☆10Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆57Updated 6 years ago
- Uncertainty interpretations of the neural network☆31Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 6 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- ☆53Updated 6 years ago
- [IJCAI'19] Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate☆12Updated 4 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 4 years ago
- ☆16Updated 6 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆23Updated 4 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Updated 4 years ago
- Interpreting Bayesian inference as continual learning with a CNN☆22Updated 6 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆34Updated 7 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 5 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 8 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆34Updated 6 years ago
- MatConvNet: CNNs for MATLAB☆50Updated 7 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 6 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- [TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling☆45Updated 4 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago