Orhan Firat

According to our database1, Orhan Firat authored at least 41 papers between 2012 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
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation.
CoRR, 2018

Revisiting Character-Based Neural Machine Translation with Capacity and Compression.
CoRR, 2018

Training Deeper Neural Machine Translation Models with Transparent Attention.
CoRR, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
CoRR, 2018

Revisiting Character-Based Neural Machine Translation with Capacity and Compression.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Training Deeper Neural Machine Translation Models with Transparent Attention.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
On integrating a language model into neural machine translation.
Computer Speech & Language, 2017

Multi-way, multilingual neural machine translation.
Computer Speech & Language, 2017

Nematus: a Toolkit for Neural Machine Translation.
CoRR, 2017

Learning Joint Multilingual Sentence Representations with Neural Machine Translation.
CoRR, 2017

Does Neural Machine Translation Benefit from Larger Context?
CoRR, 2017

Nematus: a Toolkit for Neural Machine Translation.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Neural Machine Translation for Cross-Lingual Pronoun Prediction.
Proceedings of the Third Workshop on Discourse in Machine Translation, 2017

2016
Zero-Resource Translation with Multi-Lingual Neural Machine Translation.
CoRR, 2016

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism.
CoRR, 2016

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

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism.
Proceedings of the NAACL HLT 2016, 2016

Zero-Resource Translation with Multi-Lingual Neural Machine Translation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
On Using Monolingual Corpora in Neural Machine Translation.
CoRR, 2015

Montreal Neural Machine Translation Systems for WMT'15.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Learning Deep Temporal Representations for fMRI Brain Decoding.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014
Estimating brain connectivity for pattern analysis.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Modeling the Brain Connectivity for Pattern Analysis.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Representation Learning for Contextual Object and Region Detection in Remote Sensing.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Deep learning for brain decoding.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Functional networks of anatomic brain regions.
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014

2013
Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding.
IJCINI, 2013

Information distribution analysis in the fMRI measurements with degree of locality estimation.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Representation learning with convolutional sparse autoencoders for remote sensing.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Cognitive process representation with minimum spanning tree of local meshes.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Contextual object recoğnition with conditional random fields.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Dry dock detection in satellite images with representation learning.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Mesh learning for object classification using fMRI measurements.
Proceedings of the IEEE International Conference on Image Processing, 2013

Analyzing the information distribution in the fMRI measurements by estimating the degree of locality.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Representation of cognitive processes using the minimum spanning tree of local meshes.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

An information theoretic approach to classify cognitive states using fMRI.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Functional Mesh Learning for pattern analysis of cognitive processes.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

2012
Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Application of context invariants in airport region of interest detection for multi-spectral satellite imagery.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Mesh learning approach for brain data modeling.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012


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