Kyunghyun Cho

New York University (US)

Research Areas

Computer scienceArtificial intelligenceMachine learningMathematicsPhilosophyBiologyEngineeringLinguistics

Discover Papers by Kyunghyun Cho

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H-index

Publications

434

Citations

70615

i10-index

182

Publications & Citations Over Time

Top Cited Publications

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Title	Year	Citations
Neural Machine Translation by Jointly Learning to ...	2015	15333
Neural Machine Translation by Jointly Learning to ...	2014	14248
Show, Attend and Tell: Neural Image Caption Genera...	2015	6778
On the Properties of Neural Machine Translation: E...	2014	6101
Attention-Based Models for Speech Recognition	2015	1857
Show, Attend and Tell: Neural Image Caption Genera...	2015	1841
Theano: A Python framework for fast computation of...	2016	1689
Describing Videos by Exploiting Temporal Structure	2015	930
On Using Very Large Target Vocabulary for Neural M...	2015	916
On the Properties of Neural Machine Translation: E...	2014	800

Publications

1.
Neural Machine Translation by Jointly Learning to Align and Translate
Year: 2015Citations: 15333
2.
Neural Machine Translation by Jointly Learning to Align and Translate
Year: 2014Citations: 14248
3.
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Year: 2015Citations: 6778
4.
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
Year: 2014Citations: 6101DOI: 10.3115/v1/w14-4012
5.
Attention-Based Models for Speech Recognition
Year: 2015Citations: 1857DOI: 10.48550/arxiv.1506.07503
6.
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Year: 2015Citations: 1841DOI: 10.48550/arxiv.1502.03044
7.
Theano: A Python framework for fast computation of mathematical expressions
Year: 2016Citations: 1689DOI: 10.48550/arxiv.1605.02688
8.
Describing Videos by Exploiting Temporal Structure
Year: 2015Citations: 930DOI: 10.1109/iccv.2015.512
9.
On Using Very Large Target Vocabulary for Neural Machine Translation
Year: 2015Citations: 916DOI: 10.3115/v1/p15-1001
10.
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Year: 2014Citations: 800DOI: 10.48550/arxiv.1409.1259

About Kyunghyun Cho

Kyunghyun Cho is a researcher with 434 publications and 70615 citations. They are affiliated with New York University. Their research focuses on Computer science, Artificial intelligence, Machine learning and other areas. With an h-index of 76, they are among the top researchers in their field.

Citation Distribution

Distribution of citations across publications

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Citations per publication by year