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Interpretability Through Interrogation: Fairness and Interpretability in the Context of Criminal Sentencing
(2018-06-29)
In this paper, I will explore the ways in which algorithms such as those used in criminal sentencing determinations can be biased against demographic subgroups and the attempts that have been made to correct this bias. I ...
Neural Network Models for Hate Speech Classification in Tweets
(2018-06-29)
The increase in hate speech on social media in recent years calls for improved detection methods. While traditional techniques rely on manually monitoring hate speech, there is a growing interest in applying machine learning ...
Learning World Dynamics With Structured Representations in a Computational Model of Event Cognition
(2018-06-29)
The segmentation of the sensory stream into discrete events is a central process in cognition, with implications for memory, learning, and attention. Event cognition can be modeled computationally as the process of inferring ...