The authors introduce a neuroscience-inspired Solo Pass Embedded Learning Algorithm (SPELA). It is a unique candidate for training and inference applications in Edge AI devices. SPELA can also cater to…
Continue readingThe paper discusses the development of a new federated clustering method, CCFC. The method combines federated clustering and representation learning to improve the clustering performance. CCFC has shown significant improvements…
Continue readingThe article introduces Structured Probabilistic Coding (SPC), a novel supervised representation learning framework that extracts compact and informative representations from input related to a target task. The SPC uses an…
Continue readingThe article introduces SODA, a self-supervised diffusion model designed for representation learning. The model includes an image encoder that transforms a source view into a compact representation, which guides the…
Continue readingThe article introduces Consistent Assignment of Views over Random Partitions (CARP), a self-supervised clustering method for representation learning of visual features. The method optimizes a new pretext task based on…
Continue readingThe researchers at Xiamen University propose a Sequential Action induced invariant Representation (SAR) method to accurately learn task-relevant state representations from high-dimensional observations with visual distractions. This is a challenging…
Continue readingThe Proximity Attention Point Rendering (PAPR) is a novel technique that offers a solution for accurate and efficient 3D representation learning. Developed by researchers from the APEX Lab at the…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
