sophieburkhardt / dirichlet-vae-topic-modelsLinks
implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow
☆49Updated 2 years ago
Alternatives and similar repositories for dirichlet-vae-topic-models
Users that are interested in dirichlet-vae-topic-models are comparing it to the libraries listed below
Sorting:
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Neural Topic Model via Optimal Transport, ICLR 2021☆16Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Gromov-Wasserstein Alignment of Embeddings☆66Updated 4 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆170Updated 6 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆88Updated 4 years ago
- A code for "Tree-Structured Neural Topic Model" in ACL2020☆19Updated 2 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆85Updated 4 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
- AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model wi…☆19Updated 6 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 4 years ago
- PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)☆35Updated 3 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- PyTorch implementation of AVITM☆159Updated 7 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Updated 3 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Updated 4 years ago
- Bayesian Skip-gram model☆47Updated 5 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 7 years ago
- PyTorch implementations of NVDM, GSM, NTM, NTMR☆74Updated 5 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆136Updated 7 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 5 years ago
- This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.☆31Updated 5 years ago
- PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)☆185Updated 4 years ago
- Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP☆73Updated 6 years ago
- Experiments of ACL 2018 paper box embeddings☆31Updated 6 years ago