CPG enables the model to fully capture the intra-category diversity by representing each category with multiple prototypes.

The remarkable success of transformers in sequence modeling tasks, spanning various applications in natural language processing and computer vision, is attributed to the critical role of self-attention.

Neural Control Barrier Functions (NCBFs) have shown significant promise in enforcing safety constraints on nonlinear autonomous systems.

Regularization is one of the most fundamental topics in optimization, statistics and machine learning.

The essence of simultaneously solving cross-domain tasks is to enhance the general-izability of the encoder.