yaringal / acquisition_example
Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function
☆15Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for acquisition_example
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆19Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆64Updated 4 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- ☆62Updated 7 years ago
- ☆26Updated 5 years ago
- ☆50Updated 6 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 7 years ago
- Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"☆14Updated 4 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆23Updated 7 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆38Updated 3 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- ☆15Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆29Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- ☆12Updated 6 years ago
- Deep generative models for semi-supervised learning.☆109Updated 7 years ago
- Notes for Deep Learning Papers☆19Updated 6 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- ☆46Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆66Updated 10 years ago
- Gaussian Processes in Pytorch☆74Updated 4 years ago