9 citations · 9 across the 1 of their papers we have counts for
3 papers
cs.CL2017★ 9 cited
End-to-end Adversarial Learning for Generative Conversational Agents
Oswaldo Ludwig
This paper presents a new adversarial learning method for generative conversational agents (GCA) besides a new model of GCA. Similar to previous works on adversarial learning for d…
cs.LG2016
Deep Learning with Eigenvalue Decay Regularizer
Oswaldo Ludwig
This paper extends our previous work on regularization of neural networks using Eigenvalue Decay by employing a soft approximation of the dominant eigenvalue in order to enable the…
cs.CL2016
Deep Embedding for Spatial Role Labeling
Oswaldo Ludwig, Xiao Liu, Parisa Kordjamshidi +1
This paper introduces the visually informed embedding of word (VIEW), a continuous vector representation for a word extracted from a deep neural model trained using the Microsoft C…