sophieburkhardt / dirichlet-vae-topic-models
implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow
☆49Updated last year
Related projects ⓘ
Alternatives and complementary repositories for dirichlet-vae-topic-models
- Neural Topic Model via Optimal Transport, ICLR 2021☆15Updated 3 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 3 years ago
- AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model wi…☆18Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Updated 2 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- Tensorflow implementation of Invariant Rationalization☆48Updated last year
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 3 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago
- PyTorch implementations of NVDM, GSM, NTM, NTMR☆74Updated 5 years ago
- A code for "Tree-Structured Neural Topic Model" in ACL2020☆18Updated 2 years ago
- Dispersed Exponential Family Mixture VAE☆27Updated 4 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆85Updated 3 years ago
- This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.☆31Updated 4 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆47Updated 4 years ago
- ☆11Updated 6 years ago
- Gromov-Wasserstein Alignment of Embeddings☆64Updated 3 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆57Updated 3 years ago
- "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick" (NeurIPS 2020)☆11Updated 3 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆21Updated last year
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated last month
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Updated 5 years ago
- PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)☆36Updated 2 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Updated 4 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 3 years ago
- Code accompanying the paper "Effective Estimation of Deep Generative Language Models".☆25Updated 4 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆27Updated 4 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆39Updated 6 years ago