nec-research / st_tau
This repository contains code for the paper "Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs" (Wang, Lawrence & Niepert, ICLR 2021).
☆17Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for st_tau
- 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 11 months ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆35Updated 3 years ago
- ☆63Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆66Updated last year
- Rep the Set: Neural Networks for Learning Set Representations☆27Updated 4 years ago
- ☆49Updated 4 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆28Updated 3 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- ☆116Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆68Updated 2 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 2 months ago
- ☆12Updated 2 years ago
- ☆11Updated 7 months ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- [EMNLP 2021] Code and data for our paper "Visually Grounded Reasoning across Languages and Cultures"☆29Updated 2 years ago
- Code publication to the paper "Normalized Attention Without Probability Cage"☆16Updated 3 years ago
- ☆11Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆20Updated 3 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆36Updated 2 years ago
- Implementation for "Rational Recurrences", Peng et al., EMNLP 2018.☆28Updated 2 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Updated 2 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
- General Invertible Transformations for Flow-based Generative Models☆17Updated 3 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 3 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 2 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆24Updated 4 years ago
- ☆42Updated 3 years ago