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
Alternatives and similar repositories for st_tau:
Users that are interested in st_tau are comparing it to the libraries listed below
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- ☆63Updated 2 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆35Updated 3 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 gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTIO…☆30Updated last year
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- ☆42Updated 3 years ago
- Code for Generalized Entropy Regularization paper☆14Updated 4 years ago
- SparseMAP: differentiable sparse structure inference☆111Updated 6 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆27Updated 7 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Pytorch implementation of DiffMask☆55Updated last year
- ☆14Updated 5 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
- Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data☆35Updated 4 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆114Updated 4 years ago
- ☆24Updated 3 years ago
- Code for paper "Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging"☆16Updated 5 years ago
- PhD thesis (updating) of Jiatao Gu from HKU☆19Updated 6 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 3 years ago
- This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"☆69Updated 5 months ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆47Updated 4 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- ☆24Updated 5 years ago
- Datasets for compositional learning☆11Updated 6 years ago