CfP: Int'l Workshop on Highly Efficient Neural Networks Design (HENND) at ESWEEK

CALL FOR PAPERS

International Workshop on Highly Efficient Neural Networks Design (HENND)

In conjunction with ESWEEK 2017

Seoul, Korea | October 20, 2017 | http://cmalab.snu.ac.kr/HENND2017

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, SK Telecom, DeepHi, ETH Zurich, KAIST, POSTECH, and UNIST.

Poster paper submission
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)

The papers should be no more than 4 pages in ACM format. All submissions will undergo double-blind reviews. We will hand out the accepted papers only at the workshop without an official proceedings. Thus, the accepted papers, if unpublished, can be submitted to other venues. In addition, accepted papers are invited to the submission to a special issue of SCI journal, Design Automation for Embedded Systems (DAEM), Springer.

Submit your papers to sungjoo.yoo@gmail.com.

The poster paper submission schedule is as follows.

• August 31: Paper submission deadline
• September 15: Paper acceptance notice

Organizers
Yiran Chen, Duke Univ., yiran.chen@duke.edu and Sungjoo Yoo, Seoul National Univ., sungjoo.yoo@gmail.com Technical program committee (more members are being confirmed) Yiran Chen (Duke University), Daehyun Kim (Google), Jaeyoun Kim (Facebook), Jian Ouyang (Baidu), Xuehai Qian (USC), Jongsoo Park (Intel), Minsoo Rhu (NVIDIA), Eunsoo Shim (Samsung Electronics), Yu Wang (Tsinghua), Dong Hyuk Woo (Google), Sungjoo Yoo (Seoul National University), Yuan Xie (UCSB).