dmelis / otalign
Gromov-Wasserstein Alignment of Embeddings
☆65Updated 3 years ago
Alternatives and similar repositories for otalign:
Users that are interested in otalign are comparing it to the libraries listed below
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 6 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 3 years ago
- Implementation of the "Poincare Glove: Hyperbolic word embeddings" paper☆85Updated 4 years ago
- ☆10Updated 4 years ago
- Experiments of ACL 2018 paper box embeddings☆32Updated 6 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆67Updated 5 years ago
- Code for "Unsupervised Cross-lingual Transfer of Word Embedding Spaces" in EMNLP 2018☆23Updated 6 years ago
- Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and No…☆54Updated 2 years ago
- PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)☆36Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Word Rotator's Distance☆19Updated 3 years ago
- ☆32Updated 6 years ago
- Bayesian Skip-gram model☆47Updated 4 years ago
- ☆16Updated 5 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- ☆27Updated last year
- Deep Weighted Averaging Classifiers☆23Updated 6 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 6 months ago
- Pytorch implementation of DiffMask☆55Updated last year
- ☆46Updated 4 years ago
- Official code for the paper "PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models".☆16Updated 2 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…☆52Updated 5 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Updated 2 years ago
- Codes for <Kernelized Bayesian Softmax for Text Generation> in NeurIPS 2019☆16Updated 5 years ago