AI Autonomy: Self‐initiated Open‐world Continual Learning and Adaptation
Sign Up to like & getrecommendations! Published in 2022 at "AI Magazine"
DOI: 10.1002/aaai.12087
Abstract: As more and more AI agents are used in practice, it is time to think about how to make these agents fully autonomous so that they can (1) learn by themselves continually in a self-motivated… read more here.
Keywords: world; autonomy self; continual learning; initiated open ... See more keywords
Stable continual learning through structured multiscale plasticity manifolds
Sign Up to like & getrecommendations! Published in 2021 at "Current opinion in neurobiology"
DOI: 10.1016/j.conb.2021.07.009
Abstract: Biological plasticity is ubiquitous. How does the brain navigate this complex plasticity space, where any component can seemingly change, in adapting to an ever-changing environment? We build a systematic case that stable continuous learning is… read more here.
Keywords: continual learning; stable continual; plasticity manifolds; multiscale plasticity ... See more keywords
SpaceNet: Make Free Space For Continual Learning
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DOI: 10.1016/j.neucom.2021.01.078
Abstract: The continual learning (CL) paradigm aims to enable neural networks to learn tasks continually in a sequential fashion. The fundamental challenge in this learning paradigm is catastrophic forgetting previously learned tasks when the model is… read more here.
Keywords: continual learning; learning; capacity; spacenet ... See more keywords
Online Continual Learning in Image Classification: An Empirical Survey
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DOI: 10.1016/j.neucom.2021.10.021
Abstract: Online continual learning for image classification studies the problem of learning to classify images from an online stream of data and tasks, where tasks may include new classes (class incremental) or data nonstationarity (domain incremental).… read more here.
Keywords: learning; image classification; continual learning; online continual ... See more keywords
Long-Term Visual Object Tracking via Continual Learning
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DOI: 10.1109/access.2019.2960321
Abstract: Long-term visual tracking is one of the most challenging problems in computer vision and is closer to practical application needs. In long-term video sequences, tracking targets often undergo dramatic appearance changes over time due to… read more here.
Keywords: term; continual learning; long term; appearance ... See more keywords
Differential Privacy Preservation in Robust Continual Learning
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DOI: 10.1109/access.2022.3154826
Abstract: Enhancing the privacy of machine learning (ML) algorithms has become crucial with the presence of different types of attacks on AI applications. Continual learning (CL) is a branch of ML with the aim of learning… read more here.
Keywords: differential privacy; privacy; continual learning; robust continual ... See more keywords
Continual Learning with Speculative Backpropagation and Activation History
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DOI: 10.1109/access.2022.3166158
Abstract: Continual learning is gaining traction these days with the explosive emergence of deep learning applications. Continual learning suffers from a severe problem called catastrophic forgetting. It means that the trained model loses the previously learned… read more here.
Keywords: speculative backpropagation; backpropagation activation; continual learning; backpropagation ... See more keywords
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning
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DOI: 10.1109/access.2022.3186479
Abstract: Adaptive Resonance Theory (ART) is considered as an effective approach for realizing continual learning thanks to its ability to handle the plasticity-stability dilemma. In general, however, the clustering performance of ART-based algorithms strongly depends on… read more here.
Keywords: continual learning; divisive hierarchical; topological clustering; adaptive resonance ... See more keywords
Analysis of Continual Learning Models for Intrusion Detection System
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DOI: 10.1109/access.2022.3222715
Abstract: Deep Learning based Intrusion Detection Systems (IDSs) have received significant attention from the research community for their capability to handle modern-day security systems in large-scale networks. Despite their considerable improvement in performance over machine learning-based… read more here.
Keywords: intrusion detection; continual learning; learning models; learning ... See more keywords
Continual Learning of Micro-Doppler Signature-Based Human Activity Classification
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DOI: 10.1109/lgrs.2020.3046015
Abstract: Human activity classification based on micro-Doppler signatures measured by radar recently has been successfully applied in diverse applications due to the improvement of machine learning methods, e.g., deep convolutional neural networks (DCNNs). Despite the success,… read more here.
Keywords: activity classification; continual learning; activity; micro doppler ... See more keywords
Improving Pedestrian Prediction Models With Self-Supervised Continual Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3148475
Abstract: Autonomous mobile robots require accurate human motion predictions to safely and efficiently navigate among pedestrians, whose behavior may adapt to environmental changes. This letter introduces a self-supervised continual learning framework to improve data-driven pedestrian prediction… read more here.
Keywords: prediction models; supervised continual; prediction; continual learning ... See more keywords