However, it is often argued that correct predictions in the tail are more "interesting" or "rewarding," but the community has not yet settled on a metric capturing this intuitive concept.

New deep learning-based approaches further improve the quality of synthetic textures.

Social media platforms capture diverse attack sequence samples through both machine and manual screening processes. Investigating effective ways to leverage these adversarial samples to enhance robustness is imperative.

Weshowthatthelearned model exhibits strong performances interms ofimage and text generation and anomaly detection.The one-pagecode can be found in supplementarymaterials.

The datasets contain numerous grammatical and orthographic errors, poor pronunciation, limited vocabulary, and the content lacks cultural relevance to the language community.