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Subject:
From:
Mohammad Alsmirat <[log in to unmask]>
Reply To:
Mohammad Alsmirat <[log in to unmask]>
Date:
Sat, 21 Jul 2018 03:45:36 +0300
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*The First International Workshop on Deep and Transfer Learning (DTL 2018) *

*in conjunction with*




*The 5th International Conference on Social Networks Analysis, Management
and Security(SNAMS-2018)
<http://emergingtechnet.org/SNAMS2018/index.php> The 5th International
Conference on Internet of Things: Systems, Management and Security (IoTSMS
2018) <http://emergingtechnet.org/IoTSMS2018/index.php> Valencia, Spain.
October 15-18, 2018*

Deep learning approaches have caused tremendous advances in many areas of
computer science. Deep learning is a branch of machine learning where the
learning process is done using deep and complex architectures such as
recurrent convolutional artificial neural networks. Many computer science
applications have utilized deep learning such as computer vision, speech
recognition, natural language processing, sentiment analysis, social
network analysis, and robotics. The success of deep learning enabled the
application of learning models such as reinforcement learning in which the
learning process is only done by trial-and-error, solely from actions
rewards or punishments. Deep reinforcement learning come to create systems
that can learn how to adapt in the real world. As deep learning utilizes
deep and complex architectures, the learning process usually is time and
effort consuming and need huge labeled data sets. This inspired the
introduction of transfer and multi-task learning approaches to better
exploit the available data during training and adapt previously learned
knowledge to emerging domains, tasks, or applications.
Despite the fact that many research activities is ongoing in these areas,
many challenging are still unsolved. This workshop will bring together
researchers working on deep learning, working on the intersection of deep
learning and reinforcement learning, and/or using transfer learning to
simplify deep leaning, and it will help researchers with expertise in one
of these fields to learn about the others. The workshop also aims to bridge
the gap between theories and practices by providing the researchers and
practitioners the opportunity to share ideas and discuss and criticize
current theories and results.

Proceedings of the workshops will be published by the IEEE Conference
Publishing Services (CPS) and will be submitted for inclusion in the
IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries.

*Topics of interest *
==============
We invite the submission of original papers on all topics related to deep
learning, deep reinforcement learning, and transfer and multi-task
learning, with special interest in, but not limited to:

·       Deep learning for innovative applications such machine translation,
computational biology

·       Deep Learning for Natural Language Processing

·       Deep Learning for Recommender Systems

·       Deep learning for computer vision

·       Deep learning for systems and networks resource management

·       Optimization for Deep Learning

·       Deep Reinforcement Learning
o Deep transfer learning for robots
o Determining rewards for machines
o Machine translation
o Energy consumption issues in deep reinforcement learning
o Deep reinforcement learning for game playing
o Stabilize learning dynamics in deep reinforcement learning
o Scaling up prior reinforcement learning solutions

·       Deep Transfer and multi-task learning:
o New perspectives or theories on transfer and multi-task learning
o Dataset bias and concept drift
o Transfer learning and domain adaptation
o Multi-task learning
o Feature based approaches
o Instance based approaches
o Deep architectures for transfer and multi-task learning
o Transfer across different architectures, e.g. CNN to RNN
o Transfer across different modalities, e.g. image to text
o Transfer across different tasks, e.g. object recognition and detection
o Transfer from weakly labeled or noisy data, e.g. Web data

·       Datasets, benchmarks, and open-source packages

*Paper Submission : *
===============

Authors are requested to submit papers reporting original research results
and experience. The page limit for full papers is 6 pages. Papers should be
prepared using IEEE two-column template.

IEEE Computer Society Proceedings Author Guidelines are available at: IEEE
Guidelines Link <http://www.computer.org/portal/web/cscps/submission>

Papers should be submitted as PDF files via the EasyChair: EasyChair Link
<https://easychair.org/conferences/?conf=dtl2018>

Submitted research papers may not overlap with papers that have already
been published or that are simultaneously submitted to a journal or a
conference. All papers accepted for this conference are peer-reviewed and
are to be published in the conference proceedings by the IEEE Computer
Society Conference Publishing Service (CPS), and indexed by IEEE Xplore
Digital Library

*Important Dates : *
==============

*Full Paper Submission:*  July 31st, 2018
*Notification of Decision:*  August 25th, 2018
*Camera-Ready and Registration :* September 5th, 2018

*Organizing Committee*

*General co-Chairs:*

·       Mohammad Alsmirat, Jordan University of Science and Technology,
Jordan.

·       Paulo R. L. Gondim, University of Brasilia, Brazil

*Technical Program co-Chairs:*

·       Mahmoud Al-Ayyoub, Jordan University of Science and Technology,
Jordan

·       Thar Baker, Liverpool John Moores University, Liverpool, UK

*Publicity Chairs:*

·       Gizem Gültekin Varkonyi, University of Szeged, Hungary.

·       Suleyman Eken, Kocaeli University, Turkey.

*Invited Speaker and Panel Chair:*

·       Gizem Gültekin Varkonyi, University of Szeged, Hungary.

·       Rossi Kamal, Shanto-Mariam University of Creative Technology,
Bangladesh

*Steering Committee:*

·       Mohammad Alsmirat, Jordan University of Science and Technology,
Jordan.

·       Jim Jansen , Qatar Computing Research Institute, HBKU, Qatar and
The Pennsylvania State University, USA

·       Mahmoud Al-Ayyoub, Jordan University of Science and Technology,
Jordan

·       Thar Baker, Liverpool John Moores University, Liverpool, UK

·       Paulo R. L. Gondim, University of Brasilia, Brazil

·       Yaser Jararweh, Jordan University of Science and Technology, Jordan.

*Technical Programme Committee:*

·       Izzat Alsmadi, Texas A&M San Antonio, USA ([log in to unmask])

·       Mustafa Jarrar, Birzeit University, Palestine

·       Rossi Kamal, Shanto-Mariam University of Creative Technology,
Bangladesh

·       Ashraf Elnagar, ML&ALP Research Lab, University of Sharjah, UAE

·       Mohamed Abdel-Maguid, University Campus Suffolk, UK

·       Jie Gao, Stony Brook University, USA

·       Bhavani Thuraisingham, The University of Texas at Dallas, USA

·       Elhadj Benkhelifa, Staffordshire University, UK.

·       Abdullah Khreishah, New Jersey Institute of Technology, USA.

·       Bas Geerdink, ING, Netherlands

·       Bhavani Thuraisingham, The University of Texas at Dallas, USA

·       Mohammed Naji Al-Kabi, ZU, Jordan

·       Kami Makki, Lamar University, USA

·       Al-Sakib Khan Pathan, International Islamic University Malaysia
(IIUM), Malaysia.

·       Mahmoud Al-Ayyoub, Jordan University of Science and Technology,
Jordan.

·       Marcio Lobo Netto, EPUSP, Brazil

·       Heider Wahsheh, KSA

·       Yaser Jararweh, Jordan University of Science and Technology, Jordan

·       Mladen Vouk, N.C. State University, USA.

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