msobroza / SparsemaxPytorch
SparseMax activation function implementation (ICML 2016) (PyTorch)
☆27Updated 7 years ago
Alternatives and similar repositories for SparsemaxPytorch:
Users that are interested in SparsemaxPytorch are comparing it to the libraries listed below
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- ☆17Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- Code for reversible recurrent neural networks☆38Updated 6 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆47Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Generative Matching Networks☆30Updated 7 years ago
- ☆29Updated 3 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- pytorch implementation of VAE-Gumble-Softmax☆62Updated 4 years ago
- ☆24Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- ☆17Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 7 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago