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Found 5 papers, 1 papers with code
HEAT: Hyperbolic Embedding of Attributed Networks
As a general embedding method, HEAT opens the door to hyperbolic manifold learning on a wide range of attributed and unattributed networks.
Social and Information Networks
Representing Inferences and their Lexicalization
We have recently begun a project to develop a more effective and efficient way to marshal inferences from background knowledge to facilitate deep natural language understanding.
The Ninth Advances in Cognitive Systems (ACS) Conference
ACS is an annual meeting for research on the initial goals of artificial intelligence and cognitive science, which aimed to explain the mind in computational terms and to reproduce the entire range of human cognitive abilities in computational artifacts.
Finding Trolls Under Bridges: Preliminary Work on a Motif Detector
We briefly describe an annotation effort to produce data for training motif detection, which is on-going.
A Symbolic Representation of Human Posture for Interpretable Learning and Reasoning
Robots that interact with humans in a physical space or application need to think about the person's posture, which typically comes from visual sensors like cameras and infra-red.
