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MP Associates, Inc.
FRIDAY October 20, 8:30am - 5:00pm | Sapphire 1+2+3
International Workshop on Highly Efficient Neural Networks Design (HENND)
The International Workshop on Highly Efficient Neural Networks Design is a forum for presentations of state-of-the-art research in highly efficient neural networks design. The workshop will combine both keynote/invited oral presentations and posters of the papers accepted from regular submissions.

Keynote and oral presentations
* Keynote by Prof. Yoshua Bengio (Univ. of Montreal), titled “Towards End-to-End Trainable Hardware”
* Invited talks by experts from Baidu, Toshiba, Samsung Electronics, DeepHi, ETH, KAIST, etc.

We invite submissions of poster papers related to (but not limited to) the following topics:
* Algorithm optimization (e.g., tiny Yolo for object detection)
* Model compression (e.g., pruning and low rank approximation)
* Deep learning framework (e.g., Caffe2 or TensorFlow framework for mobile and embedded systems)
* On-device training (e.g., federated learning in Google)
* CPU/DSP/GPU architecture enhancements for neural networks (e.g., Tensor Core in V100)
* FPGA/ASIC accelerators for neural networks (e.g., zero-aware low precision CNN/RNN accelerator)

Accepted papers are invited to the submission to a special issue of SCI journal, Design Automation for Embedded Systems (DAEM), Springer.

Yiran Chen, Duke University
Sungjoo Yoo, Seoul National University

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