Deep Learning Day - Advances in Theory, Systems, and Applications

Immerse yourself in a comprehensive 8-hour 31-minute conference talk featuring leading experts in deep learning. Explore a wide range of topics, including scaling and debugging deep learning systems, presented by renowned speakers such as Eric Xing, Dawn Song, and Aleksander Madry. Gain insights from panel discussions on critical issues in the field, and learn about cutting-edge research from presentations by James Zou, Harmanpreet Kaur, and Martin Wattenberg. Delve into specialized areas with talks by Jason Lee, Andrew Stolman, and Tianlong Chen, and conclude with a thought-provoking closing panel discussion. This extensive deep learning event, organized by the Association for Computing Machinery (ACM), offers a unique opportunity to expand your knowledge and stay at the forefront of advancements in artificial intelligence and machine learning.

- Intro
- Xiang Ren
- Eric Xing
- Dawn Song
- Deepak Agarwal
- Besmira Nushi
- Daniel Kang
- Saket Gurukar
- Aleksander Madry
- Panel: Scaling & Debugging DL Systems
- James Zou
- Harmanpreet Kaur
- David Madras
- Martin Wattenberg
- Jason Lee
- Andrew Stolman
- Tianlong Chen
- Yasaman Bahri
- Closing Panel Discussion