Hardware Aware Efficient Training (HAET)

Workshop at ICML 2022

Important Dates

Author Instructions

The authors have to follow the instructions listed below when submitting their contributions:

We encourage all authors to also submit their work to arXiv. The workshop will have proceedings with copyright attributed to the authors. However, the inclusion of accepted papers in the workshop proceedings is optional.

Scope and Topics

The workshop welcomes contributions that seek to reduce the cost of the training process based on high-level complexity metrics (number of operations, memory usage) or by taking into account the details of the computing hardware (CPU, GPU, IPU, NPU, or any other custom accelerator implemented as an ASIC or on FPGA). Topics of interest include (but are not limited to):

Awards and Prizes

Thanks to our sponsors, a prize will be given to the best paper award.