Electronics and Communications Sciences Unit
Indian Statistical Institute
Winter School on
Deep Learning
GenAI, LLMs, and Beyond : A Fusion of Frontiers
12th January - 10th March 2024
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All lectures and hands-on sessions will be conducted in online mode only!!
Announcements!
Announcements!
The Inaugural session will start at 12th January, 10:30 AM (IST) followed by a class.
We have sent the mail containing the Zoom link for the WSDL 2024 all classes. If you are still having any issue, mail us at ecsu.wsdl2024@gmail.com
Enrolment date extended till 10th January, 2024 (23:59 IST)
Registration date extended till 10th January, 2024 (23:59 IST)
News
Plenary Lecture on "Understanding How Transformers Learn to perform In-context Learning" by Prof. Suvrit Sra on Sunday (10th March) from 07:30 PM (IST).
Catch live on youtube click here
Invited Talk on "A Peek into Graph Rewiring" by Dr. Petar Veličković, a pioneer in the field of Graph Neural Networks from Google DeepMind, will take place on Sunday, 4th February, at 03:00 PM (IST).
Plenary Lecture on "Building Autonomous AI Agents with Multimodal Interactions" by Prof. Ruslan Salakhutdinov on Sunday (4th February) from 07.30 PM (IST).
Catch live on youtube click here
Welcome to the 3rd Winter School on Deep Learning
Welcome to the 3rd Winter School on Deep Learning
The Winter School on Deep Learning 2024 (WSDL 2024) offers self-motivated students in-depth knowledge and exposure to research in Deep Learning, organized by the Electronics and Communication Sciences Unit, at the Indian Statistical Institute, Kolkata.
The school offers hands-on courses to apply the latest Deep Learning methods to real-world problems. The school also cover the essential concepts of deep learning and the fundamentals of mathematics and programming.
Come join us as we take the journey from GenAI, LLMs, and Beyond : A Fusion of Frontiers!
Scope
Scope
Participants will learn from the basics of machine learning to the advanced deep learning-based approaches with application to Computer Vision and Natural Language Processing.
Lectures will be delivered by renowned faculties and scientists (from esteemed academic and industrial organizations around the world) who have made significant contributions in their areas of research.
The lectures will be supplemented by detailed hands-on sessions.
Audience
Audience
Currently enrolled in research/project scholars, masters and final-year bachelors students.
Academics and industry Professionals.
Ruslan Salakhutdinov
Carnegie Mellon University
Anshumali Shrivastava
Rice University
Anshumali Shrivastava
Rice University
Subhrajit Roy
Google Research
Subhrajit Roy
Google Research
Sergey Levine
University of California, Berkeley
Benjamin Van Durme
Johns Hopkins University
Roni Sengupta
University of North Carolina
Roni Sengupta
University of North Carolina
Suvrit Sra
Massachusetts Institute of Technology
Petar Veličković
Petar Veličković
Google DeepMind
Shaunak Chatterjee
Co-Founder of Aliveo AI
Shaunak Chatterjee
Co-Founder of Aliveo AI
Keep watching this space as the list of speaker updates !!
Looking Back: Our Plenary Speakers in WSDL 2023
Looking Back: Our Plenary Speakers in WSDL 2023
Dr. Laurens van
der Maaten
Prof. Gérard
Biau
Prof. Mikhail
Belkin
Prof. Leman
Akoglu
Dr. Timnit
Gebru
Dr. Thomas
Kipf
The Wonderful Journey of WSDL so far...
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