Schedule
22 July, 2022
22 July, 2022
8:45 - 9:00
Welcome
9:00 - 9:30
Andrew Ng
The Data-Centric AI Competition
9:30 - 9:45
Jordi Pont-Tuset
Open Images: Lessons Learned from Collecting and Annotating 9M images
9:45 - 10:00
Xavier Bouthillier
Did We Forget about the Canonical Source of Variance in Machine Learning Pipelines?
10:00 - 10:15
Coffee Break
10:15 - 10:30
Kurt Bollacker
Embracing Subjectivity In Machine Learning Benchmarks
10:30 - 10:45
Mona Diab
Responsible Evaluation Framework
10:45 - 10:50
Lora Aroyo
Data Excellence for Responsible AI
10:50 - 10:55
Praveen Paritosh
DataPerf Effort
10:55 - 11:00
Will Gaviria Rojas
DataPerf Challenges
11:00 - 11:05
Short Break
11:05 - 12:00
Short Talks
12:00 - 12:45
Panel Discussion with Morning Speakers
12:45 - 1:30
Lunch Break
1:30 - 2:00
Besmira Nushi
An Open Conversation about Joint Data and Model Quality: Metrics, Tools, Practices
2:00 - 2:15
James Zou
Evaluation of ML in Health/Science
2:15 - 2:30
Ehsan Valavi
Time Value of Data and AI Strategy
2:30 - 2:45
Yiling Chen
Assessing Quality of Information without Ground Truth
2:45 - 3:00
Deborah Raji
Ethical Challenges of Data Collection & Use in Machine Learning Research
3:00 - 3:15
Coffee Break
3:15 - 3:30
Sharon Yixuan Li
Challenges and Opportunities in Handling Data Distributional Shift
3:30 - 3:45
Baharan Mirzasoleiman
Less Data Can Be More!
3:45 - 3:55
Matei Zaharia
What Can Data-Centric AI Learn from Data Engineering?
3:55 - 4:00
Douwe Kiela
Dynabench <3 DataPerf
4:00 - 4:05
Newsha Ardalani
Data Valuation
4:05 - 4:10
Peter Mattson
Datasets 2030
4:10 - 4:15
Short Break
4:15 - 5:15
Short Talks
5:15 - 6:00
Panel Discussion with Afternoon Speakers
Wrap Up