37 citations · 58 across the 5 of their papers we have counts for
5 papers
Quantized neural network design under weight capacity constraint
Sungho Shin, Kyuyeon Hwang, Wonyong Sung
The complexity of deep neural network algorithms for hardware implementation can be lowered either by scaling the number of units or reducing the word-length of weights. Both appro…
Compact Deep Convolutional Neural Networks With Coarse Pruning
Sajid Anwar, Wonyong Sung
The learning capability of a neural network improves with increasing depth at higher computational costs. Wider layers with dense kernel connectivity patterns furhter increase this…
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks
Minjae Lee, Kyuyeon Hwang, Jinhwan Park +3
In this paper, a neural network based real-time speech recognition (SR) system is developed using an FPGA for very low-power operation. The implemented system employs two recurrent…
Character-Level Language Modeling with Hierarchical Recurrent Neural Networks
Kyuyeon Hwang, Wonyong Sung
Recurrent neural network (RNN) based character-level language models (CLMs) are extremely useful for modeling out-of-vocabulary words by nature. However, their performance is gener…
Generative Knowledge Transfer for Neural Language Models
Sungho Shin, Kyuyeon Hwang, Wonyong Sung
In this paper, we propose a generative knowledge transfer technique that trains an RNN based language model (student network) using text and output probabilities generated from a p…