dmelis / otalignLinks
Gromov-Wasserstein Alignment of Embeddings
☆68Updated 4 years ago
Alternatives and similar repositories for otalign
Users that are interested in otalign are comparing it to the libraries listed below
Sorting:
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆88Updated 4 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 7 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆85Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated 2 years ago
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Updated 2 years ago
- Experiments of ACL 2018 paper box embeddings☆31Updated 7 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Code for "Unsupervised Cross-lingual Transfer of Word Embedding Spaces" in EMNLP 2018☆24Updated 6 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 4 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆170Updated 4 years ago
- Bayesian Skip-gram model☆47Updated 5 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆71Updated last year
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 5 years ago
- Deep Weighted Averaging Classifiers☆23Updated 6 years ago
- On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975☆27Updated 5 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces☆58Updated 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
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆137Updated 7 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Updated 6 years ago
- Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"☆171Updated 7 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆36Updated 4 years ago
- Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"☆17Updated 5 years ago
- ☆22Updated 4 years ago
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆36Updated 5 years ago
- Pytorch implementation of DiffMask☆58Updated 2 years ago