High-stakes prediction tasks (e.g., patient diagnosis) are often handled by trained

Existing regularization methods merely minimize the norms of embeddings to regularize the model, leading to suboptimal performance.

The biases ofSnow are manifested in the statistical properties of itsperspectives(i.e.