The International Workshop on Highly Efficient Neural Networks Design

We invite submissions of poster papers related to (but not limited to) the following topics:

• Algorithm optimization (e.g., faster R-CNN, YOLO v2, SSD, etc. for object detection)

• Model compression (e.g., pruning, low rank approximation, etc.)

• Deep learning framework (e.g., Caffe2 or TensorFlow framework for mobile and embedded systems)

• On-device training (e.g., training neural networks on mobile devices like federated learning in Google)

• CPU/DSP/GPU architecture enhancements for neural networks (e.g., matrix multiplication co-processor for neural network acceleration like Tensor Core in V100)

• FPGA/ASIC accelerators for neural networks (e.g., zero-aware low precision CNN/RNN accelerator)