Hardware Aware Efficient Training (HAET)

Workshop at ICML 2022


Please note that all provided slots are in Eastern Daylight Time (EDT), and use a 24h format. The workshop will be held in person on Saturday, July 23rd, 2022 at the Baltimore Convention Center.

Time (EDT) Event
8:45 9:00 Opening welcome speech: introducing the aims of the workshop, and briefly introducing the speakers.
9:00 9:30 Keynote 1: Melika Payvand.
Title: Brain-inspired hardware and algorithm co-design for low power online training on the edge
09:30 10:00 Keynote 2: Alexander Keller.
Title: How Computer Graphics advances Hardware Aware Efficient Training
10:00 11:30 Poster session I: open discussion and coffee break.
11:30 12:00 Keynote 3: Damien Querlioz.
Title: Memory-Centric Machine Learning
12:00 13:15 Lunch.
13:15 13:45 Keynote 4: Fabien Cardinaux.
Title: DNN Quantization with Mixed Precision and Trained Lookup Tables
13:45 14:15 Keynote 5: Tien-Ju Yang.
Title: Neural Network Design and Training for Efficient On-Device Learning
14:15 14:45 Keynote 6: Jian Tang.
Title: Neural Bellman-Ford Networks: An Efficient and General Path-based Method for Link Prediction based on GNNs
14:45 15:00 Best paper award presentation.
15:00 16:30 Poster session II: open discussion and coffee break.
16:30 17:15 Panel discussion.
17:15 17:30 Closing remarks.