Riashat / Active-Learning-Bayesian-Convolutional-Neural-NetworksLinks
Active Learning on Image Data using Bayesian ConvNets
☆139Updated 9 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
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆139Updated 7 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆254Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 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
- Learning kernels to maximize the power of MMD tests☆211Updated 7 years ago
- ☆24Updated 8 years ago
- ☆200Updated 8 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆119Updated 8 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- Dropout As A Bayesian Approximation: Code☆204Updated 10 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)☆141Updated 8 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆121Updated 8 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Virtual adversarial training with Tensorflow☆254Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆188Updated 8 years ago
- On the decision boundary of deep neural networks☆38Updated 7 years ago
- Some example scripts on pytorch☆197Updated 4 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Updated 7 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆151Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 8 years ago