research
∙
05/31/2022
Gluing Neural Networks Symbolically Through Hyperdimensional Computing
Hyperdimensional Computing affords simple, yet powerful operations to cr...
share
research
∙
09/24/2018
Representing Sets as Summed Semantic Vectors
Representing meaning in the form of high dimensional vectors is a common...
research
∙
06/28/2018
A Computational Theory for Life-Long Learning of Semantics
Semantic vectors are learned from data to express semantic relationships...
research
∙
02/23/2018
Semantic Vector Spaces for Broadening Consideration of Consequences
Reasoning systems with too simple a model of the world and human intent ...
research
∙
07/11/2017
Deductive and Analogical Reasoning on a Semantically Embedded Knowledge Graph
Representing knowledge as high-dimensional vectors in a continuous seman...
research
∙
06/21/2017
Graphcut Texture Synthesis for Single-Image Superresolution
Texture synthesis has proven successful at imitating a wide variety of t...
research
∙
12/02/2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Problems at the intersection of vision and language are of significant i...
research
∙
06/13/2016
Using a Distributional Semantic Vector Space with a Knowledge Base for Reasoning in Uncertain Conditions
The inherent inflexibility and incompleteness of commonsense knowledge b...
research
∙
11/16/2015