Dmitriy Serdyuk

According to our database1, Dmitriy Serdyuk authored at least 18 papers between 2015 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Unsupervised adversarial domain adaptation for acoustic scene classification.
CoRR, 2018

Twin Regularization for online speech recognition.
CoRR, 2018

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations.
CoRR, 2018

Towards end-to-end spoken language understanding.
CoRR, 2018

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation.
CoRR, 2018

Twin Regularization for Online Speech Recognition.
Proceedings of the Interspeech 2018, 2018

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Towards End-to-end Spoken Language Understanding.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Twin Networks: Using the Future as a Regularizer.
CoRR, 2017

Deep Complex Networks.
CoRR, 2017

2016
Invariant Representations for Noisy Speech Recognition.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
CoRR, 2016

End-to-end attention-based large vocabulary speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Blocks and Fuel: Frameworks for deep learning.
CoRR, 2015

Attention-Based Models for Speech Recognition.
CoRR, 2015

Task Loss Estimation for Sequence Prediction.
CoRR, 2015

End-to-End Attention-based Large Vocabulary Speech Recognition.
CoRR, 2015

Attention-Based Models for Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015


  Loading...