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20152019
most citedResiliency of Deep Neural Networks under Quantization

143 citations · 390 across the 17 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

cs.LG2016★ 1 cited

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…

cs.LG2016★ 37 cited

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…

cs.CL2016★ 5 cited

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…

cs.LG2016★ 7 cited

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…

cs.CV2016

Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks

Sungho Shin, Wonyong Sung

Gesture recognition is a very essential technology for many wearable devices. While previous algorithms are mostly based on statistical methods including the hidden Markov model, w…

cs.AR2016

FPGA Based Implementation of Deep Neural Networks Using On-chip Memory Only

Jinhwan Park, Wonyong Sung

Deep neural networks (DNNs) demand a very large amount of computation and weight storage, and thus efficient implementation using special purpose hardware is highly desired. In thi…

cs.CL2016★ 62 cited

Character-Level Incremental Speech Recognition with Recurrent Neural Networks

Kyuyeon Hwang, Wonyong Sung

In real-time speech recognition applications, the latency is an important issue. We have developed a character-level incremental speech recognition (ISR) system that responds quick…