Results 61 to 70 of about 28,537 (309)
Continual Learning With Quasi-Newton Methods
IEEE AccessCatastrophic forgetting remains a major challenge when neural networks learn tasks sequentially. Elastic Weight Consolidation (EWC) attempts to address this problem by introducing a Bayesian-inspired regularization loss to preserve knowledge of ...
Steven Vander Eeckt, Hugo Van Hamme
doaj +1 more source
Advanced Electronic Materials, EarlyView.This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong +4 more
wiley +1 more source
Adversarial Continual Learning [PDF]
, 2020 Accepted at ECCV ...
Ebrahimi, Sayna +4 more
openaire +2 more sources
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Advanced Electronic Materials, EarlyView.Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Online Continual Learning Via Candidates Voting [PDF]
, 2021 Jiangpeng He, Fengqing Zhu
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Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics
Advanced Electronic Materials, EarlyView.Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim +7 more
wiley +1 more source
Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory
IEEE AccessWith the increasing importance of data privacy protection, various privacy-preserving machine learning methods have been proposed. In the clustering domain, various algorithms with a federated learning framework (i.e., federated clustering) have been ...
Naoki Masuyama +5 more
doaj +1 more source
Continual Learning with Transformers for Image Classification [PDF]
, 2022 Beyza Ermiş +4 more
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Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries
Advanced Energy Materials, EarlyView.Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi +3 more
wiley +1 more source
AerospaceAccurate state estimation for quadrotors under wind-induced disturbances remains a critical challenge in dynamic outdoor environments. Existing model-based and data-driven approaches often struggle with real-time adaptation and catastrophic forgetting ...
Yanhui Liu +3 more
doaj +1 more source