11 citations · 21 across the 2 of their papers we have counts for
3 papers
cs.CL2017★ 11 cited
A Flexible Approach to Automated RNN Architecture Generation
Martin Schrimpf, Stephen Merity, James Bradbury +1
The process of designing neural architectures requires expert knowledge and extensive trial and error. While automated architecture search may simplify these requirements, the recu…
cs.LG2017★ 10 cited
Block-diagonal Hessian-free Optimization for Training Neural Networks
Huishuai Zhang, Caiming Xiong, James Bradbury +1
Second-order methods for neural network optimization have several advantages over methods based on first-order gradient descent, including better scaling to large mini-batch sizes…
cs.CL2017
Towards Neural Machine Translation with Latent Tree Attention
James Bradbury, Richard Socher
Building models that take advantage of the hierarchical structure of language without a priori annotation is a longstanding goal in natural language processing. We introduce such a…