research
∙
06/07/2023
ModuleFormer: Learning Modular Large Language Models From Uncurated Data
Large Language Models (LLMs) have achieved remarkable results. But exist...
share
research
∙
10/09/2020
Recursive Top-Down Production for Sentence Generation with Latent Trees
We model the recursive production property of context-free grammars for ...
research
∙
10/29/2019
Ordered Memory
Stack-augmented recurrent neural networks (RNNs) have been of interest t...
research
∙
10/21/2019
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
We release the largest public ECG dataset of continuous raw signals for ...
research
∙
06/23/2019
Investigating Biases in Textual Entailment Datasets
The ability to understand logical relationships between sentences is an ...
research
∙
10/22/2018
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Recurrent neural network (RNN) models are widely used for processing seq...
research
∙
09/06/2018
Improving Explorability in Variational Inference with Annealed Variational Objectives
Despite the advances in the representational capacity of approximate dis...
research
∙
03/07/2018
Generating Contradictory, Neutral, and Entailing Sentences
Learning distributed sentence representations remains an interesting pro...
research
∙
07/26/2017
