Online continual learning aims to get closer to a live learning experien...
In the last few decades we have witnessed a significant development in
A...
Hypernetworks mitigate forgetting in continual learning (CL) by generati...
One of the objectives of Continual Learning is to learn new concepts
con...
Distributed learning on the edge often comprises self-centered devices (...
Continual learning is the problem of learning from a nonstationary strea...
Machine learning techniques have become one of the main propellers for
s...
Real-world data streams naturally include the repetition of previous
con...
In recent years we have witnessed a renewed interest in machine learning...
Continual Learning, also known as Lifelong or Incremental Learning, has
...
Continual Learning methods strive to mitigate Catastrophic Forgetting (C...
Continual Learning (CL) on time series data represents a promising but
u...
Predictive machine learning models nowadays are often updated in a state...
Pre-trained models are nowadays a fundamental component of machine learn...
Learning continually is a key aspect of intelligence and a necessary abi...
Continual Learning requires the model to learn from a stream of dynamic,...
Continual Reinforcement Learning (CRL) is a challenging setting where an...
This paper presents a proof-of-concept implementation of the AI-as-a-Ser...
Learning continually from non-stationary data streams is a challenging
r...
The ability of a model to learn continually can be empirically assessed ...
The increasing attention on Artificial Intelligence (AI) regulation has ...
The aim of this paper is to formalize a new continual semi-supervised
le...
This paper discusses the perspective of the H2020 TEACHING project on th...
On-device training for personalized learning is a challenging research
p...
Continual Learning (CL) refers to a learning setup where data is non
sta...
Replay strategies are Continual Learning techniques which mitigate
catas...
Learning continuously during all model lifetime is fundamental to deploy...
In the last few years, we have witnessed a renewed and fast-growing inte...
AI-powered edge devices currently lack the ability to adapt their embedd...
This report summarizes IROS 2019-Lifelong Robotic Vision Competition
(Li...
Online continual learning (OCL) refers to the ability of a system to lea...
Training deep networks on light computational devices is nowadays very
c...
The recent breakthroughs in computer vision have benefited from the
avai...
Continual learning of deep neural networks is a key requirement for scal...
Robotic vision is a field where continual learning can play a significan...
Continual learning (CL) is a particular machine learning paradigm where ...
High-dimensional always-changing environments constitute a hard challeng...
In recent years, a rising numbers of people arrived in the European Unio...
Continual learning consists of algorithms that learn from a stream of
da...
Making applications aware of the mobility experienced by the user can op...
It was recently shown that architectural, regularization and rehearsal
s...
Continuous/Lifelong learning of high-dimensional data streams is a
chall...
Recent works demonstrated the usefulness of temporal coherence to regula...