[Dry! In 2020 paper collection ICLR] International Conference on Open Source code (total 198)

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Time: 2019-12-24

In 2020 ICLR conference paper collection of open-source address

https://www.paperdigest.org/2019/12/iclr-2020-papers-with-code

    2020 ICLR (International Conference on Learning Representation) will be carried out in the capital, Addis Ababa, Ethiopia in 2020, April 26.

What is ICLR meeting?

    ICLR called the "International Conference on Learning Representations" (International Conference on Characterization study), 2013 has just established the first. This annual meeting although this year (2018) was done the sixth, but has been widely recognized by academic researchers, is considered "top-depth study of the meeting."

Who founded ICLR meeting?

    ICLR learning about the Big Three meeting of the two ranked by the depth Yoshua Bengio and Yann LeCun led by founder.
    Yoshua Bengio is a professor at the University of Montreal, the depth of learning one of the Big Three, he led the Artificial Intelligence Laboratory (MILA) of the University of Montreal academic research AI technology. MILA is one of the largest research centers in the world of artificial intelligence, and Google also have close cooperation.
    Yann LeCun with learning one of the Big Three is the depth of his current Facebook Artificial Intelligence Research Institute (FAIR) Dean, New York University professor. As the father of a convolution neural network, he made important contributions to the development of innovation and depth of learning.

Why founder?

    As we all know, the application performance characterization data for machine learning have an important impact. Characterization of the rapid development of learning also accompanied by many problems, such as how we can be more effective characterization of the meaning and better learn from the data. We started to explore this area, including in-depth study, characterization study, a measure of learning, kernel learning, combined model, very linear structure prediction and non-convex optimization problem. Despite the characterization of learning for vision, speech, audio, and plays a vital role in the field of NLP and Machine learning including, the current lack of a place that allows the exchange of scholars in the field to share topics of interest. ICLR aim is to fill this gap.
    ICLR hope to provide a professional platform for deep learning. But in fact ICLR different from other international conferences, the real reason for praise, and not just their own two of the celebrity aura, but it is Open Review assessment system implemented.

references

[1]http://finance.jrj.com.cn/tech/2017/04/20153122355479.shtml

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