Junyoung Chung
Junyoung Chung
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Empirical evaluation of gated recurrent neural networks on sequence modeling
J Chung, C Gulcehre, KH Cho, Y Bengio
arXiv preprint arXiv:1412.3555, 2014
71082014
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
10022019
A Recurrent Latent Variable Model for Sequential Data
J Chung, K Kastner, L Dinh, K Goel, A Courville, Y Bengio
Advances in Neural Information Processing Systems (NIPS), 2015
8102015
Gated feedback recurrent neural networks
J Chung, C Gulcehre, K Cho, Y Bengio
International Conference on Machine Learning (ICML), 2015
7162015
Equilibrated adaptive learning rates for non-convex optimization
YN Dauphin, H De Vries, Y Bengio
arXiv preprint arXiv:1502.04390, 2015
4402015
Hierarchical multiscale recurrent neural networks
J Chung, S Ahn, Y Bengio
International Conference on Learning Representations (ICLR'17), 2016
4282016
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 2019
3392019
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation
J Chung, K Cho, Y Bengio
Association for Computational Linguistics (ACL), 2016
3252016
Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv 2014
J Chung, C Gulcehre, K Cho, Y Bengio
arXiv preprint arXiv:1412.3555, 2014
1602014
Empirical evaluation of gated recurrent neural networks on sequence modeling (2014)
J Chung, C Gulcehre, KH Cho, Y Bengio
arXiv preprint arXiv:1412.3555, 2014
1542014
Iterative Refinement of Approximate Posterior for Training Directed Belief Networks
RD Hjelm, K Cho, J Chung, R Salakhutdinov, V Calhoun, N Jojic
Advances in Neural Information Processing Systems (NIPS'16), 2015
37*2015
Deep attribute networks
J Chung, D Lee, Y Seo, CD Yoo
Deep Learning and Unsupervised Feature Learning NIPS Workshop, 2012
312012
Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR
J Chung, Ç Gülçehre, K Cho, Y Bengio
arXiv preprint arXiv:1412.3555, 2014
162014
NYU-MILA Neural Machine Translation Systems for WMT'16
J Chung, K Cho, Y Bengio
Proceedings of the First Conference on Machine Translation, Berlin, Germany …, 2016
112016
Hierarchical multiscale recurrent neural networks. 2016
J Chung, S Ahn, Y Bengio
arXiv preprint arXiv:1609.01704, 0
6
Dynamic frame skipping for fast speech recognition in recurrent neural network based acoustic models
I Song, J Chung, T Kim, Y Bengio
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
52018
A character-level decoder without explicit segmentation for neural machine translation. arXiv 2016
J Chung, K Cho, Y Bengio
arXiv preprint arXiv:1603.06147, 0
3
On Deep Multiscale Recurrent Neural Networks
J Chung
12019
Joint estimation of pose and face landmark
D Lee, J Chung, CD Yoo
Asian Conference on Computer Vision, 305-319, 2014
12014
Learning Latent Multiscale Structure Using Recurrent Neural Networks
J Chung, S Ahn, Y Bengio
NIPS workshop on Neural Abstract Machines & Program Induction (NAMPI), 2016
2016
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Articles 1–20