Unsupervised Learning of Inter-Object Relationships via Group Homomorphism

ArXi:2604.20925v1 Announce Type: new While current deep learning models achieve high performance by learning statistical correlations from vast datasets,which stands in stark contrast to human learning. They lack the flexibility of humans-particularly preverbal infants-to autonomously acquire the underlying structure of the world from limited experience and adapt to novel situations.