Karan Kumar Budhraja

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Playlist generation may be defined as the generation of a list of music items or songs based on a preexisting set of songs. A common approach would be to suggest a number of songs based on the currently playing song. An exhaustive algorithm, based on similarity calculation between two songs, would involve computation of similarity of musical attributes of(More)
This work introduces adversarial feature selection, a game between a feature selection agent and its adversary. The adversarial approach is drawn from existing work on adversarial classification. The feature selection algorithm selects a subset of features from the original set based on their utility towards classification accuracy. A cost is incurred based(More)
Given that security threats and privacy breaches are commonplace today, it is an important problem for one to know whether their device(s) are in a " good state of security " , or is there a set of high-risk vulnerabilities that need to be addressed. In this paper, we address this simple yet challenging problem. Instead of gaining white-box access to the(More)
—Natural language has emerged as a powerful , intuitive interface for robot-human communication. There has been substantial work in recent years on grounded language acquisition, in which paired language and sensor data are used to create a model of how linguistic constructs apply to the perceivable world. While powerful, this approach suffers from the need(More)
—The problem of Learning from Demonstration is targeted at learning to perform tasks based on observed examples. One approach to Learning from Demonstration is Inverse Reinforcement Learning, in which actions are observed to infer rewards. This work combines a feature based state evaluation approach to Inverse Reinforcement Learning with neuroevolu-tion, a(More)
Playlist generation may be defined as the generation of a list of musical items or songs based on a pre-existing set of songs selected by the user. A common approach would be to suggest a number of songs based on the currently playing song. An exhaustive algorithm would involve computation of similarity of musical attributes of all of the songs with respect(More)
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