Yoonho Boo

Proceedings of the IEEE International Conference on Acoustics, 2021

Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Knowledge Distillation for Optimization of Quantized Deep Neural Networks.

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Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Quantized Neural Networks: Characterization and Holistic Optimization.

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Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Fixed-Point Optimization of Transformer Neural Network.

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Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Compression of Deep Neural Networks with Structured Sparse Ternary Coding.

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J. Signal Process. Syst., 2019

Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks.

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CoRR, 2019

Memorization Capacity of Deep Neural Networks under Parameter Quantization.

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Proceedings of the IEEE International Conference on Acoustics, 2019

2018

On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns.

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Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices.

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Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Recurrent Neural Networks for Acoustic Modeling.

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Proceedings of the Interspeech 2018, 2018

2017

Structured sparse ternary weight coding of deep neural networks for efficient hardware implementations.

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Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks.

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Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Fixed-point optimization of deep neural networks with adaptive step size retraining.

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