Schedule

Please note that all provided slots are in Greenwich Mean Time+2 (GMT+2), and use a 24h format. You may use this time zone converter to convert these times to your local time zone.

Time (GMT+2)	Event
13:45 14:00	Opening welcome speech: introducing the aims of the workshop, and briefly introducing the speakers.
14:00 14:30	Keynote 1: Warren Gross. Title: Stochastic Computing for Machine Learning towards an Intelligent Edge
14:30 15:00	Keynote 2: Julie Grollier. Title: Spiking Equilibrium Propagation for Autonomously Learning Hardware
15:00 15:30	Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
15:30 16:00	Break.
16:00 17:30	Poster session and open discussion.
17:30 18:30	Panel discussion.
18:30 19:00	Break.
19:00 19:30	Keynote 4: Yunhe Wang. Title: AdderNet: Do we really need multiplications in deep learning?
19:30 20:00	Keynote 5: Song Han. Title: TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Training
20:00 20:30	Keynote 6: Liangwei Ge. Title: Deep learning challenges and how Intel is addressing them
20:30 21:00	Announcement of the different award winners and closing remarks.