edouardpineau / infoCatVAE
Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"
☆14Updated 4 years ago
Alternatives and similar repositories for infoCatVAE:
Users that are interested in infoCatVAE are comparing it to the libraries listed below
- ZForcing Repo☆40Updated 7 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆25Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 7 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- ☆17Updated 6 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …☆33Updated 8 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- ☆26Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://p…☆39Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- ☆45Updated 5 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- ☆24Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"☆23Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- ☆37Updated 5 years ago