Kyunghyun Cho
Kyunghyun Cho
New York University, Facebook AI Research
Verified email at nyu.edu - Homepage
TitleCited byYear
Neural machine translation by jointly learning to align and translate
D Bahdanau, K Cho, Y Bengio
ICLR 2015, 2014
54132014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
K Cho, B van Merrienboer, C Gulcehre, F Bougares, H Schwenk, ...
Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), 2014
39502014
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhutdinov, R Zemel, ...
International Conference on Machine Learning, 2015
24742015
Empirical evaluation of gated recurrent neural networks on sequence modeling
J Chung, C Gulcehre, KH Cho, Y Bengio
arXiv preprint arXiv:1412.3555, 2014
19762014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
K Cho, B van Merrienboer, D Bahdanau, Y Bengio
Eighth Workshop on Syntax, Semantics and Structure in Statistical …, 2014
13132014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Y Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio
Advances in Neural Information Processing Systems (NIPS) 27, 2014
5572014
Attention-based models for speech recognition
J Chorowski, D Bahdanau, D Serdyuk, K Cho, Y Bengio
The Twenty-ninth Annual Conference on Neural Information Processing Systems …, 2015
5042015
Describing videos by exploiting temporal structure
L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville
International Conference on Computer Vision, 2015
4682015
On Using Very Large Target Vocabulary for Neural Machine Translation
S Jean, K Cho, R Memisevic, Y Bengio
ACL 2015, 2014
4432014
How to Construct Deep Recurrent Neural Networks
R Pascanu, C Gulcehre, K Cho, Y Bengio
International Conference on Learning Representation (ICLR), 2014
3892014
Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint
TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
368*2016
On the Number of Linear Regions of Deep Neural Networks
G Montúfar, R Pascanu, K Cho, Y Bengio
Advances in Neural Information Processing Systems (NIPS) 27, 2014
3272014
Gated Feedback Recurrent Neural Networks
J Chung, C Gulcehre, K Cho, Y Bengio
International Conference on Machine Learning, 2015
2852015
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation
J Chung, K Cho, Y Bengio
ACL, 2016
1672016
End-to-end continuous speech recognition using attention-based recurrent NN: first results
J Chorowski, D Bahdanau, K Cho, Y Bengio
arXiv preprint arXiv:1412.1602, 2014
1662014
Improved learning of Gaussian-Bernoulli restricted Boltzmann machines
KH Cho, A Ilin, T Raiko
International conference on artificial neural networks, 10-17, 2011
1602011
Learning distributed representations of sentences from unlabelled data
F Hill, K Cho, A Korhonen
NAACL, 2016
1592016
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
O Firat, K Cho, Y Bengio
NAACL, 2016
153*2016
Describing multimedia content using attention-based encoder-decoder networks
K Cho, A Courville, Y Bengio
IEEE Transactions on Multimedia 17 (11), 1875-1886, 2015
1452015
Nematus: a toolkit for neural machine translation
R Sennrich, O Firat, K Cho, A Birch, B Haddow, J Hitschler, ...
arXiv preprint arXiv:1703.04357, 2017
1432017
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Articles 1–20