432 citations · 1.2k across the 38 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.LG2017★ 29 cited
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
Alexander L. Gaunt, Matthew A. Johnson, Maik Riechert +4
New types of machine learning hardware in development and entering the market hold the promise of revolutionizing deep learning in a manner as profound as GPUs. However, existing s…
stat.ML2017★ 7 cited
Batch Policy Gradient Methods for Improving Neural Conversation Models
Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka +2
We study reinforcement learning of chatbots with recurrent neural network architectures when the rewards are noisy and expensive to obtain. For instance, a chatbot used in automate…