Seminar • Artificial Intelligence — Costs and Benefits of Invariant Representation Learning
Han Zhao, Machine Learning Department
Carnegie Mellon University
Han Zhao, Machine Learning Department
Carnegie Mellon University
Masoumeh Shafieinejad, PhD candidate
David R. Cheriton School of Computer Science
Paul Grubbs, Department of Computer Science
Cornell University
Jeremy Hartmann, PhD candidate
David R. Cheriton School of Computer Science
Woud you like to learn about the career journeys of four Faculty of Mathematics alumni and get advice on how you can succeed in your career after graduation?
Please join us at our Math Career Panel for an engaging networking opportunity.
Xin Gao, Computer Science
King Abdullah University of Science and Technology
Hong Hu, Research Scientist
School of Computer Science, Georgia Institute of Technology
Dmitrii Marin, PhD candidate
David R. Cheriton School of Computer Science
Taylor Denouden, Master’s candidate
David R. Cheriton School of Computer Science
Hemant Surale, PhD candidate
David R. Cheriton School of Computer Science
In this seminar, we will present an empirical comparison of eleven barehand, mid-air mode-switching techniques suitable for virtual reality in two experiments.