Time |
Demos |
Meet Our Team |
9:20 AM–10:05 AM |
- High performance inferencing for interoperable ONNX models
- Microsoft Rocket Video Analytics Platform
|
- Andrew Fitzgibbon – Vision
- Anuj Bhatia – Azure
- Javier Alvarez – AI for healthcare
- Yuanchao Shu – Video and Systems
|
12:45 PM–1:30 PM |
- High performance inferencing for interoperable ONNX models
- Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
|
- Forough Poursabzi-Sangdeh – FATE, CSS
- Lindsey Allen – AI Platform
- Siyu Yang – AI for Good
- Yi Li – Knowledge graph
- Yixi Xu – AI for Good
|
1:30 PM–2:15 PM |
- High performance inferencing for interoperable ONNX models
- FastSpeech: Fast, Robust and Controllable Text to Speech
|
- Danielle Belgrave – AI for Healthcare
- Judy Shen – AI Residency
- Lindsey Allen – AI Platform
- Marc Brockschmidt – GNNs
- Raluca Georgescu – RL
|
3:05 PM–3:50 PM |
- Responsible AI: interpretability & fairness in machine learning
- Infer.NET
|
- Alex Polozov – Program synthesis, NL2Code
- Allison Hegel – AI Residency
- Ehi Nosakhare – MAIDAP/ ML for health/ Interpretability
- Forough Poursabzi-Sangdeh – FATE, CSS
- Lindsey Allen – AI Platform
|