AlexGrinch / ro_sgnsLinks
Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)
☆19Updated 7 years ago
Alternatives and similar repositories for ro_sgns
Users that are interested in ro_sgns are comparing it to the libraries listed below
Sorting:
- Code accompanying our paper at AISTATS 2020☆21Updated 5 years ago
- A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"☆10Updated 7 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- ☆24Updated 9 months ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated 2 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 6 years ago
- ☆12Updated 7 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- ☆15Updated 5 years ago
- Machine Learning Library by Emmanouil Antonios Platanios☆28Updated 8 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 4 years ago
- Context Selection for Embedding Models☆27Updated 8 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 8 years ago
- ☆24Updated 6 years ago
- Density Order Embeddings☆33Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Variable-order CRFs with structure learning☆16Updated last year
- Experiments with binary LSTM using gumbel-sigmoid☆32Updated 5 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆19Updated 3 years ago
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …☆35Updated 9 years ago
- Gromov-Wasserstein Alignment of Embeddings☆68Updated 4 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 6 years ago
- Deep Weighted Averaging Classifiers☆23Updated 7 years ago
- Personalized Item Exploration Processes for Recommendation☆15Updated 6 years ago
- Repository for ACL 2019 paper☆74Updated 6 years ago
- Tools for training pytorch language models☆27Updated 5 years ago
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 5 years ago