tommccoy1 / tpdnLinks
Tensor product decomposition network
☆19Updated 4 years ago
Alternatives and similar repositories for tpdn
Users that are interested in tpdn are comparing it to the libraries listed below
Sorting:
- This repository contains the code used for Ordered Memory paper☆30Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Implementation for "Rational Recurrences", Peng et al., EMNLP 2018.☆28Updated 2 years ago
- Learning with latent language☆51Updated 4 years ago
- Variable-order CRFs with structure learning☆16Updated 10 months ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Finding Generalizable Evidence by Learning to Convince Q&A Models☆25Updated 2 years ago
- ☆42Updated 4 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 4 years ago
- lanmt ebm☆12Updated 4 years ago
- ☆45Updated 3 years ago
- Codebase implementing LMs for learning the Dyck-(k,m) bounded hierarchical language☆15Updated 4 years ago
- ☆18Updated 3 years ago
- Reranking-based dependency parsing with inside-outside recursive neural network☆20Updated 10 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper.☆16Updated 4 years ago
- Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."☆25Updated 6 years ago
- ☆28Updated 3 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 5 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- Active Imitation Learing with Noisy Guidance☆10Updated 5 years ago
- Cooperative Learning of Disjoint Syntax and Semantics☆50Updated 6 years ago
- Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…☆17Updated 3 years ago
- ☆49Updated 4 years ago