research
∙
11/26/2019
Single Headed Attention RNN: Stop Thinking With Your Head
The leading approaches in language modeling are all obsessed with TV sho...
share
research
∙
03/22/2018
An Analysis of Neural Language Modeling at Multiple Scales
Many of the leading approaches in language modeling introduce novel, com...
research
∙
12/20/2017
A Flexible Approach to Automated RNN Architecture Generation
The process of designing neural architectures requires expert knowledge ...
research
∙
08/07/2017
Regularizing and Optimizing LSTM Language Models
Recurrent neural networks (RNNs), such as long short-term memory network...
research
∙
08/03/2017
Revisiting Activation Regularization for Language RNNs
Recurrent neural networks (RNNs) serve as a fundamental building block f...
research
∙
11/05/2016
Quasi-Recurrent Neural Networks
Recurrent neural networks are a powerful tool for modeling sequential da...
research
∙
09/26/2016
Pointer Sentinel Mixture Models
Recent neural network sequence models with softmax classifiers have achi...
research
∙
03/04/2016
