Riashat / Active-Learning-Bayesian-Convolutional-Neural-NetworksLinks
Active Learning on Image Data using Bayesian ConvNets
☆138Updated 8 years ago
Alternatives and similar repositories for Active-Learning-Bayesian-Convolutional-Neural-Networks
Users that are interested in Active-Learning-Bayesian-Convolutional-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆139Updated 7 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆254Updated 6 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago
- ☆200Updated 8 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆119Updated 8 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆120Updated 7 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- Virtual adversarial training with Tensorflow☆254Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- ☆24Updated 8 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆188Updated 8 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 8 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)☆142Updated 7 years ago