Results 41 to 50 of about 24,131 (257)
Adversary Aware Continual Learning
IEEE AccessContinual learning approaches are useful to help a model learn new information or new tasks sequentially, while also retaining the previously acquired information.
Muhammad Umer, Robi Polikar
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Wheat Disease Classification Using Continual Learning
IEEE Access, 2023 As wheat is one of the major crops worldwide, therefore, accurate disease detection in wheat plants is critical for mitigating effects and halting disease spread. Nowadays, the detection of diseases through images using machine learning and deep learning
Abdulaziz Alharbi +2 more
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CoRR, 2018 Using neural networks in practical settings would benefit from the ability of the networks to learn new tasks throughout their lifetimes without forgetting the previous tasks. This ability is limited in the current deep neural networks by a problem called catastrophic forgetting, where training on new tasks tends to severely degrade performance on ...
Risto Vuorio +3 more
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Learning Invariant Representation for Continual Learning
CoRR, 2021 Accepted at the AAAI Meta-Learning for Computer Vision Workshop (2021)
Sokar, Ghada A.Z.N. +2 more
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Self-Net: Lifelong Learning via Continual Self-Modeling
Frontiers in Artificial Intelligence, 2020 Learning a set of tasks over time, also known as continual learning (CL), is one of the most challenging problems in artificial intelligence. While recent approaches achieve some degree of CL in deep neural networks, they either (1) store a new network ...
Jaya Krishna Mandivarapu +2 more
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New Directions for Adult and Continuing Education, EarlyView.ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
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Continuous Subspace Optimization for Continual Learning
CoRRAccepted to NeurIPS ...
Quan Cheng 0001 +4 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
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Continual learning for predictive maintenance: Overview and challenges
Intelligent Systems with Applications, 2023 Deep learning techniques have become one of the main propellers for solving engineering problems effectively and efficiently. For instance, Predictive Maintenance methods have been used to improve predictions of when maintenance is needed on different ...
Julio Hurtado +4 more
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Electrically Coded Retinomorphic Spectrophotodetector
Advanced Materials, EarlyView.Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley +1 more source