deep-spin / sparse-communicationLinks
☆12Updated 3 years ago
Alternatives and similar repositories for sparse-communication
Users that are interested in sparse-communication are comparing it to the libraries listed below
Sorting:
- Recursive Bayesian Networks☆11Updated 6 months ago
- lanmt ebm☆12Updated 5 years ago
- Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)☆12Updated last year
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 4 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Updated 3 years ago
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆15Updated 6 years ago
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆34Updated 5 months ago
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021☆13Updated 3 years ago
- Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"☆11Updated 4 years ago
- ☆40Updated 4 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- ☆50Updated 5 years ago
- ☆12Updated 4 years ago
- ☆22Updated 3 years ago
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated 2 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 3 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
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Blog post☆17Updated last year
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 6 months ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated 2 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Updated 3 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- ☆31Updated last year
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated 2 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆39Updated 4 years ago
- ☆33Updated 4 years ago