Abdel-rahman Mohamed

According to our database1, Abdel-rahman Mohamed authored at least 39 papers between 2010 and 2018.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Mechanical Rubbing of Blood Clots Using Helical Robots Under Ultrasound Guidance.
IEEE Robotics and Automation Letters, 2018

Differentiable Greedy Networks.
CoRR, 2018

Direct optimization of F-measure for retrieval-based personal question answering.
CoRR, 2018

2017
Mean Actor Critic.
CoRR, 2017

Sequence Modeling via Segmentations.
CoRR, 2017

RobustFill: Neural Program Learning under Noisy I/O.
CoRR, 2017

Deep API Programmer: Learning to Program with APIs.
CoRR, 2017

Sequence Modeling via Segmentations.
Proceedings of the 34th International Conference on Machine Learning, 2017

RobustFill: Neural Program Learning under Noisy I/O.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)?
CoRR, 2016

Neuro-Symbolic Program Synthesis.
CoRR, 2016

Memory-augmented Attention Modelling for Videos.
CoRR, 2016

MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track.
Proceedings of the 2016 Text Analysis Conference, 2016

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Exploring multidimensional lstms for large vocabulary ASR.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Deep Convolutional Neural Networks for Large-scale Speech Tasks.
Neural Networks, 2015

Compressing LSTMs into CNNs.
CoRR, 2015

Deep bi-directional recurrent networks over spectral windows.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

LSTM time and frequency recurrence for automatic speech recognition.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Convolutional Neural Networks for Speech Recognition.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2014

Improvements to filterbank and delta learning within a deep neural network framework.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Speech Recognition with Deep Recurrent Neural Networks
CoRR, 2013

Improvements to deep convolutional neural networks for LVCSR.
CoRR, 2013

Deep convolutional neural networks for LVCSR.
Proceedings of the IEEE International Conference on Acoustics, 2013

Speech recognition with deep recurrent neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learning filter banks within a deep neural network framework.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Improvements to Deep Convolutional Neural Networks for LVCSR.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Hybrid speech recognition with Deep Bidirectional LSTM.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Acoustic Modeling Using Deep Belief Networks.
IEEE Trans. Audio, Speech & Language Processing, 2012

Multiresolution Deep Belief Networks.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Understanding how Deep Belief Networks perform acoustic modelling.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Deep Belief Networks using discriminative features for phone recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Making Deep Belief Networks effective for large vocabulary continuous speech recognition.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Investigation of full-sequence training of deep belief networks for speech recognition.
Proceedings of the INTERSPEECH 2010, 2010

Binary coding of speech spectrograms using a deep auto-encoder.
Proceedings of the INTERSPEECH 2010, 2010

Phone recognition using Restricted Boltzmann Machines.
Proceedings of the IEEE International Conference on Acoustics, 2010


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