Special Session on Empowering Deep Learning Models @ WCCI (IJCNN) 2018
Empowering Deep Learning@IJCNN 2018
- URL: http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn8
- Event Date: 2018-07-08 ~ 2018-07-13
- Submission Date: 2018-01-15
Call for Papers
Empowering Deep Learning Models
Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018, the International Joint Conference on Neural Networks (IJCNN) 2018
http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn8
Paper submission deadline: 15 January 2018
IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil
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
Special Session Organizers
Nicolò Navarin (University of Padova, Italy), Luca Oneto (University of Genoa, Italy), Luca Pasa (Istituto Italiano di Tecnologia) and Alessandro Sperduti (University of Padova, Italy).
Empowering Deep Learning Models
Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018, the International Joint Conference on Neural Networks (IJCNN) 2018
http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn8
Paper submission deadline: 15 January 2018
IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil
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
Special Session Organizers
Nicolò Navarin (University of Padova, Italy), Luca Oneto (University of Genoa, Italy), Luca Pasa (Istituto Italiano di Tecnologia) and Alessandro Sperduti (University of Padova, Italy).
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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