239 citations · 259 across the 3 of their papers we have counts for
3 papers
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
Yada Pruksachatkun, Phil Yeres, Haokun Liu +5
We introduce jiant, an open source toolkit for conducting multitask and transfer learning experiments on English NLU tasks. jiant enables modular and configuration-driven experimen…
Sequential Attention: A Context-Aware Alignment Function for Machine Reading
Sebastian Brarda, Philip Yeres, Samuel R. Bowman
In this paper we propose a neural network model with a novel Sequential Attention layer that extends soft attention by assigning weights to words in an input sequence in a way that…
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Mariusz Bojarski, Philip Yeres, Anna Choromanska +4
As part of a complete software stack for autonomous driving, NVIDIA has created a neural-network-based system, known as PilotNet, which outputs steering angles given images of the…