Kyuyeon Hwang | DeepAI

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Featured Co-authors

Oncel Tuzel
38 publications
Wonyong Sung
28 publications
Sungho Shin
21 publications
Ashish Shrivastava
14 publications
Stefan Braun
10 publications
Ting-yao Hu
10 publications
Minjae Lee
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Hema Koppula
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Sajid Anwar
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Rick Chang
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Ozlem Kalini
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∙ 11/02/2020

SapAugment: Learning A Sample Adaptive Policy for Data Augmentation

Data augmentation methods usually apply the same augmentation (or a mix ...

0 Ting-yao Hu, et al. ∙

∙ 11/19/2016

Quantized neural network design under weight capacity constraint

The complexity of deep neural network algorithms for hardware implementa...

0 Sungho Shin, et al. ∙

∙ 09/13/2016

Character-Level Language Modeling with Hierarchical Recurrent Neural Networks

Recurrent neural network (RNN) based character-level language models (CL...

0 Kyuyeon Hwang, et al. ∙

∙ 01/25/2016

Character-Level Incremental Speech Recognition with Recurrent Neural Networks

In real-time speech recognition applications, the latency is an importan...

0 Kyuyeon Hwang, et al. ∙

∙ 12/30/2015

Online Keyword Spotting with a Character-Level Recurrent Neural Network

In this paper, we propose a context-aware keyword spotting model employi...

0 Kyuyeon Hwang, et al. ∙

∙ 12/29/2015

Structured Pruning of Deep Convolutional Neural Networks

Real time application of deep learning algorithms is often hindered by h...

0 Sajid Anwar, et al. ∙

∙ 12/04/2015

Fixed-Point Performance Analysis of Recurrent Neural Networks

Recurrent neural networks have shown excellent performance in many appli...

0 Sungho Shin, et al. ∙

∙ 11/21/2015

Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification

Connectionist temporal classification (CTC) based supervised sequence tr...

0 Kyuyeon Hwang, et al. ∙

∙ 11/20/2015

Resiliency of Deep Neural Networks under Quantization

The complexity of deep neural network algorithms for hardware implementa...

0 Wonyong Sung, et al. ∙

∙ 03/10/2015

Single stream parallelization of generalized LSTM-like RNNs on a GPU

Recurrent neural networks (RNNs) have shown outstanding performance on p...

0 Kyuyeon Hwang, et al. ∙

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