[ADASIVA-2021]:- One Week Short Term Course on Deep Architectures at IIIT Allahabad in Online Mode [Registration Deadline: 04-Dec-2021]

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Dr. Navjot Singh

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Dec 3, 2021, 11:39:22 PM12/3/21
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Dear Sir/Madam

**Apologies if you got multiple copies of this invitation**
**Please forward to anyone who might be interested**

A very good morning to you and we hope that you are healthy and well.

It is a matter of immense pleasure informing you that Computer Vision and Biometrics Laboratory (CVBL) at IIIT Allahabad is organizing the 4th edition of One Week Short Term Course on “Advances in Deep Architectures for Signal, Image & Vision Applications (ADASIVA)” during 06-10 Dec 2021 in online mode.  

The objectives of the workshop are highlighted as follows,
1.  Building awareness towards advances in deep learning architectures.
2.  Building communities of research students, educators, R&D, and Industry persons in this trending area of research and development.
3.  Providing tutorial sessions, where the participants can experiment with concepts and methods.
4.  Building the technical capacity in the area of Signal, Image, and Vision Processing via deep architectures.

All of us are aware of the fact that the Deep Learning domain is quite thrilling nowadays and many researchers (students/faculty members/industries) started doing research in this important domain.

This year ADASIVA 2021 is majorly focusing over following topics:
 Advances in Deep Architectures
 Fairness, Accountability, Transparency, and Ethics in Artificial Intelligence
 Adversarial Learning
 Meta Learning: The Methods of "Learning to Learn”
 Other Issues and Applications of Deep Learning



In ADASIVA-2021 approximately 15 Speakers are confirmed. The details of the course can be found at https://cvbl.iiita.ac.in/adasiva2021/.

Registration Fee 
1. Indian Participants (Student): INR 590/-
2. Indian Participants (Professional): INR 1180/-
3. Foreign Participants (Student): USD 118/-
4. Foreign Participants (Professional): USD 236/-
The details of the registration can be found at https://cvbl.iiita.ac.in/adasiva2021/.

You are also requested to kindly circulate the same among your students and the peer group interested in the same domain.

Thank You.

Sincerely yours,

Organizing Team
Computer Vision and Biometrics Laboratory (CVBL)
Indian Institute of Information Technology, Allahabad
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