Class Incremental Learning With Deep Contrastive Learning and Attention Distillation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3392678
Abstract: Class incremental learning can solve the issue of catastrophic forgetting when the trained model is used to learn a new task in which the model may forget part of previous knowledge learned. The key issue… read more here.
Keywords: class incremental; attention; class; deep contrastive ... See more keywords
Deep Contrastive Clustering for Signal Deinterleaving
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2023.3322971
Abstract: In a complex electromagnetic environment, radar signal deinterleaving (RSD) is a challenging task. In this article, a deep contrastive clustering algorithm (DCCA) is advanced in a new self-supervised paradigm for the accurate RSD without any… read more here.
Keywords: clustering signal; signal deinterleaving; contrastive clustering; radar ... See more keywords
Leveraging deep contrastive learning for semantic interaction
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.925
Abstract: The semantic interaction process seeks to elicit a user’s mental model as they interact with and query visualizations during a sense-making activity. Semantic interaction enables the development of computational models that capture user intent and… read more here.
Keywords: interaction; model; contrastive learning; deep contrastive ... See more keywords