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20192026
most citedCognitively-Inspired Model for Incremental Learning Using a Few Examples

48 citations · 155 across the 23 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 9 cited

What am I allowed to do here?: Online Learning of Context-Specific Norms by Pepper

Ali Ayub, Alan R. Wagner

Social norms support coordination and cooperation in society. With social robots becoming increasingly involved in our society, they also need to follow the social norms of the soc…

cs.CV2020★ 20 cited

Tell me what this is: Few-Shot Incremental Object Learning by a Robot

Ali Ayub, Alan R. Wagner

For many applications, robots will need to be incrementally trained to recognize the specific objects needed for an application. This paper presents a practical system for incremen…

cs.CV2020★ 7 cited

Storing Encoded Episodes as Concepts for Continual Learning

Ali Ayub, Alan R. Wagner

The two main challenges faced by continual learning approaches are catastrophic forgetting and memory limitations on the storage of data. To cope with these challenges, we propose…

cs.CV2020★ 48 cited

Cognitively-Inspired Model for Incremental Learning Using a Few Examples

Ali Ayub, Alan Wagner

Incremental learning attempts to develop a classifier which learns continuously from a stream of data segregated into different classes. Deep learning approaches suffer from catast…

cs.RO2020★ 1 cited

Teach Me What You Want to Play: Learning Variants of Connect Four through Human-Robot Interaction

Ali Ayub, Alan R. Wagner

This paper investigates the use of game theoretic representations to represent and learn how to play interactive games such as Connect Four. We combine aspects of learning by demon…