Architecture Design
Architecture design, encompassing both physical structures and software systems, is undergoing a transformation driven by advancements in artificial intelligence. Current research focuses on developing novel architectures for various applications, including efficient neural networks for tasks like speech emotion recognition and video question answering, as well as generative AI models for architectural design and autonomous systems. These efforts aim to improve efficiency, robustness, and adaptability across diverse domains, impacting fields from robotics and urban planning to computer vision and software engineering.
Papers
Biological connectomes as a representation for the architecture of artificial neural networks
Samuel Schmidgall, Catherine Schuman, Maryam Parsa
Exploring the Relationship between Architecture and Adversarially Robust Generalization
Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao