1 code implementation • ResearchGate 2024 • Oswaldo Ludwig
However, this principle results in a diffuse distribution of updates throughout the model, as it promotes updates for weights that haven't been previously updated, while a sparse update distribution is preferred to leave weights unassigned for future tasks.
3 code implementations • 28 Nov 2017 • Oswaldo Ludwig
This paper presents a new adversarial learning method for generative conversational agents (GCA) besides a new model of GCA.
1 code implementation • 24 Apr 2016 • Oswaldo Ludwig
Moreover, we extend our previous theoretical analysis to deep neural networks and multiclass classification problems.
no code implementations • 28 Mar 2016 • Oswaldo Ludwig, Xiao Liu, Parisa Kordjamshidi, Marie-Francine Moens
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 COCO data set to forecast the spatial arrangements between visual objects, given a textual description.