Adobe researchers and practitioners getting together with UMass Amherst researchers to discuss and collaborate on edge technologies.
Questions? Contact us at laflamme@cs.umass.edu
Day 1
thursday, november 3, 2022
12:30 PM - 1:30 pm EST
Day 1 Microsoft Teams Link [tbd]
| Time | Description |
| 12:30 – 12:40 EST | Welcome
Laura Haas and Vishy Swaminathan |
| 12:40 – 12:55 EST | Edge Support for Multimedia Streaming
Michael Zink |
| 12:55 – 1:10 EST | Robust Cooperative Learning with Heterogeneous Edge Agents
Mohammad Hajiesmaili |
| 1:10 – 1:25 EST | Temporally Aware Networks and Lifelong Learning
Hava Siegelmann |
| 1:25 – 1:30 EST | Q&A and Day 1 Closing |
Day 2
friday, november 4, 2022
11:00 am - 1:30 pm EST
Day 2 Microsoft Teams Link [tbd]
| Time | Description |
| 11:00 – 11:05 EST | Welcome & Recap
Saayan Mitra |
| 11:05 – 11:20 EST | Data Challenges @ Adobe Experience Cloud
Sekar Krishnamurthy |
| 11:20 – 11:35 EST | Learning Graphs via Sampling, Sketching, and Interventions
Andrew McGregor |
| 11:35 – 11:50 EST | Multimodal Learning for Intelligent Sensing at the Edge
Ina Fiterau |
| 11:50 – 12:10 EST | Research Showcase and Demos
Adobe researchers |
| 12:10 – 12:20 EST | Q&A and Break |
| 12:20 – 12:35 EST | The Experience Edge
Rares Vlasceanu |
| 12:35 – 12:50 EST | Sample Constrained Treatment Effect Estimation
Cameron Musco |
| 12:50 – 1:05 EST | Towards Accurate and Efficient Edge Computing via Multi-Task Learning
Hui Guan |
| 1:05 – 1:25 EST | Learnings/Panel discussion |
| 1:25 – 1:30 | Closing
Ramesh Sitaraman, Vishy Swaminathan |