bpucla / ibebm
☆12Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for ibebm
- ☆33Updated 4 years ago
- Dispersed Exponential Family Mixture VAE☆27Updated 4 years ago
- ☆31Updated 4 years ago
- [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling☆63Updated 2 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆26Updated 3 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- ☆23Updated 3 years ago
- ☆21Updated 2 years ago
- Variational Transformers for Diverse Response Generation☆82Updated 3 months ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆45Updated 3 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆26Updated 3 years ago
- Transformer Variational Autoencoder experiment☆49Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆43Updated last year
- This repository summarizes techniques for KL divergence vanishing problem.☆29Updated 5 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆15Updated 3 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆26Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- pytorch implementation of VAE-Gumble-Softmax☆62Updated 4 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆23Updated 3 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- ☆31Updated 3 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆52Updated last year
- ☆32Updated 3 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- Transformer-Based Conditioned Variational Autoencoder for Story Completion☆94Updated 4 years ago
- implements optimal transport algorithms in pytorch☆91Updated 2 years ago
- Weighted Training for Cross-Task Learning☆15Updated last year
- Self-attentive Associative Memory & SAM-based Two-Memory Model☆46Updated 2 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Updated 5 years ago