zihangdai / reexamine-srnnLinks
☆12Updated 5 years ago
Alternatives and similar repositories for reexamine-srnn
Users that are interested in reexamine-srnn are comparing it to the libraries listed below
Sorting:
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- ☆26Updated 6 years ago
- ☆24Updated 5 years ago
- ☆17Updated 7 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- ZForcing Repo☆40Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- ☆32Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Implementation of REBAR in PyTorch☆17Updated 7 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆30Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Code release for the ICLR paper☆21Updated 7 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆48Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "MIM: Mutual Information Machine" paper.☆16Updated 2 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated 2 years ago