MLconf NYC 2024 Conference Agenda
8:55-9:00
Morning Announcements
9:00-9:25
Franziska Bell: Uber’s Intelligent Insights Assistant
9:25-9:50
Mihajlo Grbovic: Machine Learning-Powered Search Ranking of Airbnb Experiences
9:50-10:15
Vito Ostuni: ‘The Voice’: New Challenges in a Zero UI world
10:15-10:35
Anoop Deoras: Building an Incrementally Trained, Local Taste Aware, Global Deep Learned Recommender System Model
10:35-11:00
Coffee Break
11:00-11:25
Sneha Rajana: Deep Learning Architectures for Semantic Relation Detection Tasks
11:25-11:50
June Andrews: The Uncanny Valley of ML
12:15-12:35
Noam Finkelstein: The Importance of Modeling Data Collection
12:35-2:00
Catered Lunch Break & Lunch Presentations
1:15-1:35
Meghana Ravikumar: Optimized Image Classification on the Cheap
1:35-1:55
Martin Isaksson: How to Enable Warp Speed for Machine Learning Modeling
2:00-2:30
Ted Willke: The Brain’s Guide to Dealing with Context in Language Understanding
2:30-2:55
Anitha Kannan, Xavier Amatriain: AI for healthcare: Scaling Access and Quality of Care for Everyone
2:55-3:20
Jekaterina Novikova: Machine Learning Methods in Detecting Alzheimer’s Disease from Speech and Language
3:20-3:45
Vinay Prabhu: Project GaitNet: Ushering in the ImageNet moment for human Gait kinematics
3:45-4:10
Coffee Break
4:10-4:35
Josh Wills: Data Labeling as Religious Experience
4:35-5:00
Igor Markov: Quantum Computing: a Treasure Hunt, not a Gold Rush
5:00-5:25
Jamila Smith-Loud, User Researcher, Google
5:25-5:45
Justin Armstrong: Applying Computer Vision to Reduce Contamination in the Recycling Stream
5:45-6:00
Closing Announcements & Giveaways