[CFP] IJCNN 2024 Special Session - Efficiency, Security, and Generalization of Foundation Models
Daochang Liu
IJCNN 2024 Special Session: Efficiency, Security, and Generalization of Foundation Models
***Call for Papers - Submission Deadline: 15 January 2024***
IJCNN 2024 The International Joint Conference on Neural Networks (June 30 - July 5 in Yokohama, Japan) covers a wide range of topics in the field of neural networks, from biological neural networks to artificial neural computation. “Efficiency, Security, and Generalization of Foundation Models” is a special session of IJCNN 2024.
As the landscape of artificial intelligence evolves, the demand for foundation models with superior computational efficiency, robust security measures, and exceptional generalization capabilities becomes increasingly pronounced. The session aims to foster discussions on innovative approaches, methodologies, and strategies addressing these critical properties. Contributions are invited to delve into the efficient deployment of models, fortification against potential security threats, and the augmentation of generalization abilities to diverse and unseen scenarios. By bringing together experts from various disciplines, this session seeks to chart the course for the development of foundation models that not only push the boundaries of efficiency and security but also exhibit unparalleled generalization across a spectrum of real-world applications.
We welcome you to submit to this special session if your paper is relevant to any area mentioned above.
For special session papers, please select the respective special session title under the list of research topics in the submission system.
Instructions for authors: https://2024.ieeewcci.org/submission
Submission system: https://edas.info/newPaper.php?c=31628&track=121739
Important Dates:
15 January 2024: Paper Submission Deadline
15 March 2024: Paper Acceptance Notification
01 May 2024: Final Paper Submission & Early Registration Deadline