Researchers introduced X-CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional models like SimCLR in low-data regimes, enhancing ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues. New York, NY, United States, April 16, 2025 -- A ...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses ...