Alternatives and similar repositories for NeuralSinkhornTopicModel

Users that are interested in NeuralSinkhornTopicModel are comparing it to the libraries listed below

• sophieburkhardt / dirichlet-vae-topic-models
  implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow
  ☆49Updated 2 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• dmelis / otalign
  Gromov-Wasserstein Alignment of Embeddings
  ☆67Updated 4 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆49Updated 2 years ago
• alex-tifrea / poincare_glove
  Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper
  ☆88Updated 4 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• Lingkai-Kong / Calibrated-BERT-Fine-Tuning
  Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
  ☆36Updated 4 years ago
• pgcool / iDocNADEe
  AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model wi…
  ☆19Updated 6 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• LiqunChen0606 / OT-Seq2Seq
  code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"
  ☆68Updated 6 years ago
• FranxYao / PoincareProbe
  Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
  ☆58Updated 4 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 3 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆56Updated 5 years ago
• tapilab / aaai-2021-counterfactuals
  ☆14Updated 4 years ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 4 years ago
• giannisnik / repset
  Rep the Set: Neural Networks for Learning Set Representations
  ☆29Updated 5 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• mmrezaee / VRTM
  "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick" (NeurIPS 2020)
  ☆11Updated 4 years ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆53Updated 2 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• fangleai / Implicit-LVM
  This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…
  ☆55Updated 3 years ago
• nicola-decao / diffmask
  Pytorch implementation of DiffMask
  ☆57Updated 2 years ago
• asappresearch / rationale-alignment
  ☆47Updated 5 years ago
• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆24Updated 6 years ago
• s-nlp / certain-transformer
  How certain is your transformer?
  ☆25Updated 4 years ago
• xhan77 / influence-function-analysis
  ☆63Updated 5 years ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 4 years ago
• jiacheng-xu / vmf_vae_nlp
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆170Updated 6 years ago