10 citations · 21 across the 5 of their papers we have counts for
5 papers
The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units
Oswaldo Ludwig
This paper explores the relationship between the condition number of a neural network's weight tensor and the extent of information encoded by the associated processing unit, viewe…
CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
Oswaldo Ludwig
This paper introduces a new biologically-inspired training method named Continual Learning through Adjustment Suppression and Sparsity Promotion (CLASSP). CLASSP is based on two ma…
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…
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…
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…