Introduction
Deep learning is the fastest-growing field in artificial intelligence, helping computers make sense of infinite amounts of data in the form of images, sound, and text. Using multiple levels of neural networks, computers now have the capacity to see, learn, and react to complex situations as well or better than humans. This is leading to a profoundly different way of thinking about your data, your technology, and the products and services you deliver.
Hence, 2017 International Conference on Deep Learning Technologies will be held during June 2-4, 2017, Chengdu, China, in order to provide a valuable opportunity for researchers ,scholars and scientists to exchange their ideas face to face in DLT.
Call for paper
Important date
Submission Topics
The integration of DL techniques could interest researchers studying the following topic areas (among others):
Technologies
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Caption generation
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Cognitive architectures
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Commonsense reasoning
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Episodic reasoning
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Intelligent agents (e.g., planning and acting, goal reasoning)
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Machine learning (e.g., deep, reinforcement, statistical relational, transfer)
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Model-based reasoning
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Narrative intelligence
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Temporal reasoning
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Visual reasoning
Applications
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Ambient intelligence
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Autonomic computing
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Biomedical systems
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Computer games
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Image processing (e.g., security/surveillance tasks)
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Information retrieval and reuse
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Intelligent tutoring systems
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Language translation
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Plan replay
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Question-Answering
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Reasoning from experiences mined from text, multimedia, or human interactions
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Recommender systems
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Robotics (e.g., control of autonomous vehicles)
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Text reuse
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User modeling
All Comments
Important Date
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Conference Date
Jun 02
2017
toJun 04
2017
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Apr 01 2017
Abstract Submission Deadline
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Apr 10 2017
Draft paper submission deadline
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May 10 2017
Final Paper Deadline
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Jun 04 2017
Registration deadline
Sponsored By
Organized By
Supported By
Contact Information
- Yuki Y. Y. Lian
- ic******@young.ac.cn
- 86-*********
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