Batch Nuclear-norm Maximization
Batch Nuclear-norm Maximization
**Batch Nuclear-norm Maximization** is an approach for aiding classification in label insufficient situations. It involves maximizing the nuclear-norm of the batch output matrix. The nuclear-norm of a matrix is an upper bound of the Frobenius-norm of the matrix. Maximizing nuclear-norm ensures large Frobenius-norm of the batch matrix, which leads to increased discriminability. The nuclear-norm of the batch matrix is also a convex approximation of the matrix rank, which refers to the prediction diversity.
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
https://paperswithcode.com/paper/towards-discriminability-and-diversity-batch
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations