Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio

1 code implementation • 28 Jul 2022 • Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Nianxiong Tan, Xiaopeng Yu, Hongzhong Zheng, Jianyi Meng, Xiaolang Yan, Yuan Xie

We also propose a reference design of the existing sampling-based method with optimized computing overheads to demonstrate the better accuracy of the proposed method.

Recursive Binary Neural Network Learning Model with 2-bit/weight Storage Requirement

no code implementations • ICLR 2018 • Tianchan Guan, Xiaoyang Zeng, Mingoo Seok

With the same amount of data storage, our model can train a bigger network having more weights, achieving 1% less test error than the conventional binary neural network learning model.

Action Detection Activity Detection +1

Recursive Binary Neural Network Learning Model with 2.28b/Weight Storage Requirement

no code implementations • 15 Sep 2017 • Tianchan Guan, Xiaoyang Zeng, Mingoo Seok

This enables a device with a given storage constraint to train and instantiate a neural network classifier with a larger number of weights on a chip and with a less number of off-chip storage accesses.

Classification General Classification