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Demonstrations 3
Douwe Kiela · Barbara Caputo · Marco Ciccone

Thu Dec 09 08:30 AM -- 09:35 AM (PST) @ Virtual

Demonstrations must show novel technology and must run online during the conference. Unlike poster presentations or slide shows, interaction with the audience is a critical element. Therefore, the creativity of demonstrators to propose new ways in which interaction and engagement can fully leverage this year’s virtual conference format will be particularly relevant for selection. This session has the following demonstrations:

  • PYLON: A PyTorch Framework for Learning with Constraints
  • Real-Time and Accurate Self-Supervised Monocular Depth Estimation on Mobile Device
  • Unsupervised Indoor Wi-Fi Positioning
  • Prospective Explanations: An Interactive Mechanism for Model Understanding

Author Information

Douwe Kiela (Facebook AI Research)
Barbara Caputo (Politecnico di Torino)
Marco Ciccone (Politecnico di Torino)
Marco Ciccone

Marco Ciccone is an ELLIS Postdoctoral Researcher in the VANDAL group at Politecnico di Torino and UCL. His current research interests are in the intersection of meta, continual, and federated learning with a particular focus on modularity and models re-use to scale the training of agents with heterogeneous data and mitigate the effect of catastrophic forgetting and interference across tasks, domains, and devices. He has been NeurIPS Competiton Track co-chair in 2021, 2022 and 2023.

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