deep-spin / sparse-communication
☆12Updated 2 years ago
Related projects: ⓘ
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021☆11Updated 2 years ago
- lanmt ebm☆11Updated 4 years ago
- Recursive Bayesian Networks☆11Updated last week
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated 10 months ago
- Python implementation of projection losses.☆25Updated 4 years ago
- ☆11Updated 2 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Updated 2 years ago
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆32Updated 2 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Blog post☆16Updated 7 months ago
- This repository contains the code used for Ordered Memory paper☆29Updated 4 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Updated 2 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- ☆21Updated 2 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆25Updated 2 years ago
- [ICML'21] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆13Updated 3 years ago
- ☆18Updated 2 years ago
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 3 years ago
- ☆12Updated 4 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆36Updated 3 years ago
- Code Repository for "Efficient Computation of Expectations under Spanning Tree Distributions", http://arxiv.org/abs/2008.12988☆10Updated 3 years ago
- ☆29Updated 2 years ago
- ☆49Updated 3 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago