Add to ORKGReal-time on-device continual learning is needed for new applications such as home robots, user personalization on smartphones, and augmented/virtual reality headsets. However, this setting poses unique challenges: embedded devices have limited memory and compute capacity and conventional machine learning models suffer from catastrophic forgetting when updated on non-stationary data streams. While several online continual learning models have been developed, their effectiveness for embedded applications has not been rigorously studied. In this paper, we first identify criteria that online continual learners must meet to effectively perform real-time, on-device learning. We then study the efficacy of several online continual learning methods...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Lifelong learning a.k.a Continual Learning is an advanced machine learning paradigm in which a syste...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Online continual learning aims to get closer to a live learning experience by learning directly on a...
In supervised continual learning, a deep neural network (DNN) is updated with an ever-growing data s...
Continual learning (CL) is a particular machine learning paradigm where the data distribution and le...
Continual learning (CL) is a particular machine learning paradigm where the data distribution and le...
Continual Learning, also known as Lifelong Learning, aims to continually learn from new data as it b...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Continual learning, also known as lifelong learning, is an emerging research topic that has been att...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Lifelong learning a.k.a Continual Learning is an advanced machine learning paradigm in which a syste...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Continual learning approaches help deep neural network models adapt and learn incrementally by tryin...
Online continual learning aims to get closer to a live learning experience by learning directly on a...
In supervised continual learning, a deep neural network (DNN) is updated with an ever-growing data s...
Continual learning (CL) is a particular machine learning paradigm where the data distribution and le...
Continual learning (CL) is a particular machine learning paradigm where the data distribution and le...
Continual Learning, also known as Lifelong Learning, aims to continually learn from new data as it b...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Continual learning, also known as lifelong learning, is an emerging research topic that has been att...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Training deep neural networks at the edge on light computational devices, embedded systems and robot...
Lifelong learning a.k.a Continual Learning is an advanced machine learning paradigm in which a syste...