zihangdai / reexamine-srnn
☆12Updated 4 years ago
Related projects: ⓘ
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- ☆24Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- Code for "MIM: Mutual Information Machine" paper.☆16Updated last year
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated 11 months ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆48Updated 5 years ago
- Variational Walkback, NIPS'17☆28Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- ☆17Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- ☆29Updated 2 years ago
- Implementation of REBAR in PyTorch☆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
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 5 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆35Updated last year
- ☆26Updated 5 years ago
- ZForcing Repo☆40Updated 6 years ago
- ☆22Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆27Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago