Special Session on Empowering Deep Learning Models @ WCCI (IJCNN) 2018.

Chairs: Nicolò Navarin nnavarin@math.unipd.it, Luca Oneto, Luca Pasa and Alessandro Sperduti.

Description: In recent years, Deep Learning has become the go-to solution for a broad range of applications, often outperforming state-of-the-art. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, computer vision, drug discovery, genomics and many others.

Scope and Topics The goal of this special session is to provide a forum for focused discussions on new extensions of deep learning models and techniques, and to gain a deeper understanding of the difficulties and limitations associated with state-of-the-art approaches and algorithms. Practitioners should provide practical insights to the theoreticians, which in turn, should supply theoretical insights and guarantees, further strengthening and sharpening practical intuitions and wisdom.

Examples of these possible extensions are:

• Multimodal and Multitask Deep Learning
• Deep Transfer Learning
• Deep Recurrent and Recursive Neural Networks
• Deep Learning on Structured Data
• Interpretability of Deep Learning
• Private and Federated Deep Learning
• Generative and Adversarial Deep Learning
• Randomized Deep Learning (Deep ELM, Deep ESN, Deep Reservoir Computing)

The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of deep learning and other fields of research in solving real world problems. Both theoretical and practical results (e.g. Social Data Analysis, Speech, Natural Language Processing, Cybersecurity) are welcome to our special session. This special session is supported by the IEEE Task Force on Deep Learning .

Important dates:

• Paper Submission Deadline: 15 January 2018
• Paper Acceptance Notification Date: 15 March 2018
• Final Paper Submission and Early Registration Deadline: 1st May 2018
• IEEE WCCI 2018: 08-13 July 2018

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