Deep Learning Day
About
It is impossible to overlook the transformative effect that the field of deep learning has had on the world and sciences. Deep neural networks have been growing omnipresent, thanks to their state-of-the-art performance in a number of domains (computer vision, speech recognition and generation, natural language understanding and translation, etc). Research and newest applications continue sprouting regularly, thus only widening the existing lead. The large swarm of new applications introduces new challenges, including the ones like data and compute efficiency, reliability, robustness and safety, ethical considerations and privacy constraints, and others.
To reflect on the recent advancements of the deep learning field at KDD 2021, Deep Learning Day will focus on “Understanding the Limits and Pushing the Boundaries of Deep Learning”, with topics including theoretical understanding, scaling deep learning, fairness and transparency, and testing and evaluation.
KDD Deep Learning Day 2021 will take place on Aug 18, 8am-5pm PST. On behalf of the Deep Learning Day and KDD 2021 organizing committee, we welcome you all to attend this event!
To attend the event, please register for KDD virtual conference and join us via this link.
Invited Speakers
Scaling Deep Learning
Dawn Song
UC Berkley
Eric Xing
MBZUAI/Petuum/CMU
Deepak Agarwal
Evaluating and Debugging Deep Learning Models
Besmira Nushi
Microsoft Research
Aleksander Madry
MIT
Fairness and Transparency of Deep Learning
Martin Wattenberg
Google PAIR/Harvard CS
James Zou
Stanford
Theoretical Understanding of Deep Learning
Jason Lee
Princeton
Yasaman Bahri
Google Brain
