Kalman contrastive unsupervised representation learning
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-76085-7
Abstract: We first propose a Kalman contrastive (KalCo) framework for unsupervised representation learning by dictionary lookup. It builds a dynamic dictionary of encoded representation keys with a queue and a Kalman filter encoder, to which the… read more here.
Keywords: unsupervised representation; contrastive unsupervised; representation; representation learning ... See more keywords
Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning
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DOI: 10.1109/tkde.2024.3386712
Abstract: Federated unsupervised representation learning aims at leveraging unlabeled data from multiple parties to learn visual representations without compromising the data privacy and tackle the non-IID challenge by aligning diverse representation spaces. However, model heterogeneity and… read more here.
Keywords: unsupervised representation; representation; representation learning; federated unsupervised ... See more keywords
Contrastive Unsupervised Representation Learning With Optimize-Selected Training Samples
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3424331
Abstract: Contrastive unsupervised representation learning (CURL) is a technique that seeks to learn feature sets from unlabeled data. It has found widespread and successful application in unsupervised feature learning, with the design of positive and negative… read more here.
Keywords: method; unsupervised representation; contrastive unsupervised; learning optimize ... See more keywords