13 citations · 25 across the 10 of their papers we have counts for
7 papers · 1 filter
ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations
Florent Chiaroni, Ali Ayub, Ola Ahmad
In robotics applications, few-shot segmentation is crucial because it allows robots to perform complex tasks with minimal training data, facilitating their adaptation to diverse, r…
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub, Alan R. Wagner
The two main impediments to continual learning are catastrophic forgetting and memory limitations on the storage of data. To cope with these challenges, we propose a novel, cogniti…
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…
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…
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…
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…