Call for paper 〔OPEN〕

My submissions

〔CLOSED〕
Registration 〔OPEN〕

My tickets

〔CLOSED〕
Introduction

In the recent years, deep learning methods have emerged as a powerful machine learning method for many fields. Deep learning methods are different from all traditional approaches. They automatically learn features from raw pixels directly and in a fast way more complex models comparing to shallow ones using the manually designed features. During the past several years, deep learning was successfully applied to a lot of computer vision fields such as autonomous vehicles, speech recognition, and medical imaging task. The fundamental of their success lies on powerful parallel computational power of GPUs. The special session aims to present works relating to the design and use of deep learning in practical applications. This special session exhibits the number of trends and the challenges of the use of deep learning methods in practical applications. In addition, it is expected to gather software developers, specialist researchers and users from diverse fields.

Call for paper

Important date

2017-03-01
Draft paper submission deadline
2017-04-15
Draft paper acceptance notification

Submission Topics

The scope of the PADL 2017 includes, but is not limited to the following topics:

  • Emerging applications of deep learning such as self-driving cars, speech recognition, face recognition, and medical imaging;

  • Application of deep learning in data representation and analysis, including recognition, understanding, detection, segmentation, retrieval, restoration, super-resolution, and compression;

  • Distributed computing, GPUs and new hardware for deep learning research;

  • Deep learning algorithms and applications including usage the combinations of FPGA, CPU, and GPU;

  • Comparisons of FPGA, CPU, and GPU;

  • Deep learning model selection;

  • Deep learning software frameworks based on CUDA and GPU such as Digit, Python, Matlab, Deeplearning4j, Torch, Theano, TensorFlow, Caffe, Paddle, MxNet, and Keras for applications;

  • Deep learning hardware architecture for applications;

  • Deep learning algorithms applicable on large-scale data;

  • Deep learning on mobile platform

Submit Comment
Verify Code Change Another
All Comments
Important Date

  • Conference Date

    Jul 03

    2017

    to

    Jul 05

    2017

  • Mar 01 2017

    Draft paper submission deadline

  • Apr 15 2017

    Draft Paper Acceptance Notification

  • Jul 05 2017

    Registration deadline

Sponsored By
Gdynia Maritime University
Contact Information
Login to view full contact details