deep-spin / sparse-marginalization-lvmLinks
Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".
☆28Updated 4 years ago
Alternatives and similar repositories for sparse-marginalization-lvm
Users that are interested in sparse-marginalization-lvm 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…☆62Updated 5 years ago
- This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…☆55Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Updated 2 years ago
- ☆45Updated 3 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆71Updated 10 months ago
- ☆22Updated 4 years ago
- Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"☆11Updated 4 years ago
- Implementation of Stochastic Beam Search using Fairseq☆104Updated 6 years ago
- This repository contains the code used for Ordered Memory paper☆30Updated 5 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Language Model Baselines for PyTorch☆42Updated 4 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Updated 3 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- ☆121Updated 5 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- Maximal Mutual Information (MMI) Tagger☆24Updated 6 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Paper: Learning to Recombine and Resample Data for Compositional Generalization☆10Updated 4 years ago
- Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTIO…☆30Updated 2 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆50Updated 2 years ago
- Gromov-Wasserstein Alignment of Embeddings☆66Updated 3 years ago
- Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)☆12Updated last year
- ☆12Updated 3 years ago
- ☆35Updated 2 years ago
- Differentiable Perturb-and-Parse operator☆25Updated 6 years ago
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆33Updated last month
- ☆65Updated 11 months ago