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

Check the Announcements Below !!!

All lectures and hands-on sessions will be conducted in online mode only!!

Quick Links
What Will Be Covered?
Program Schedule
Plenary Speakers
Invited Talks
Speakers/Instructors

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

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

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.