Publications

Competition-Level Code Generation with AlphaCode

  • Y. Li*, D. Choi*, J. Chung*, N. Kushman*, J. Schrittwieser*, R. Leblond*, T. Eccles*, J. Keeling*, F. Gimeno*, A. Dal Lago*, T. Hubert*, P. Choy*, C. de Masson d'Autume*, I. Babuschkin, X. Chen, P. Huang, J. Welbl, S. Gowal, A. Cherepanov, J. Molloy, D. Mankowitz, E. Robson, P. Kohli, N. de Freitas, K. Kavukcuoglu, O. Vinyals

  • [Science][* joint first authors][pdf]

Step-unrolled Denoising Autoencoders for Text Generation

  • N. Savinov*, J. Chung*, M. Binkowski*, E. Elsen, A. van den Oord

  • [ICLR2022][* joint first authors][pdf]

AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning

  • O. Vinyals*, I. Babuschkin*, W. M. Czarnecki*, M. Mathieu*, A. Dudzik*, J. Chung*, D. H. Choi*, R. Powell*, T. Ewalds*, P. Georgiev*, J. Oh*, D. Horgan*, M. Kroiss*, I. Danihelka*, A. Huang*, L. Sifre*, T. Cai*, J. Agapiou*, M. Jaderberg, S. Vezhnevets, R. Leblond, T. Polhen, V. Dalibard, D. Budden, Y. Sulsky, J. Molloy, T. Paine, C. Gulcehre, Z. Wang, T. Pfaff, Y. Wu, R. Ring, D. yogatama, D. Wünsch, K. McKinney, O. Smith, T. Schaul, T. Lillicrap, K. Kavukcuoglu, D. Hassabis, C. Apps*, D. Silver*

  • [Nature][* joint first authors][webpage]

AlphaStar: Mastering the Real-Time Strategy Game StarCraft II

  • O. Vinyals, I. Babuschkin, J. Chung, M. Mathieu, M. Jaderberg, W. Czarnecki, A. Dudzik, A. Huang, P. Georgiev, R. Powell, T. Ewalds, D. Horgan, M. Kroiss, I. Danihelka, J. Agapiou, J. Oh, V. Dalibard, D. Choi, L. Sifre, Y. Sulsky, S. Vezhnevets, J. Molloy, T. Cai, D. Budden, T. Paine, C. Gulcehre, Z. Wang, T. Pfaff, T. Polhen, Y. Wu, D. yogatama, J. Cohen, K. McKinney, O. Smith, T. Schaul, T. Lillicrap, C. Apps, K. Kavukcuoglu, D. Hassabis, D. Silver

  • [DeepMind Blog Post][blog]

Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models

  • I.Song, J. Chung, T. Kim, Y. Bengio

  • [ICASSP2018][pdf]

Hierarchical Multiscale Recurrent Neural Networks

  • J. Chung, S. Ahn, Y. Bengio

  • [ICLR2017][pdf]

Iterative Refinement of Approximate Posterior for Training Directed Belief Networks

  • RD Hjelm, K. Cho, J. Chung, R. Salakhutdinov, V. Calhoun, N. Jojic

  • [NeurIPS2016][pdf]

NYU-MILA Neural Machine Translation System for WMT'16

  • J. Chung, K. Cho, Y. Bengio

  • [WMT2016][pdf]

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

  • J. Chung, K. Cho, Y. Bengio

  • [ACL2016][oral][pdf]

A Recurrent Latent Variable Model for Sequential Data

  • J. Chung, K. Kastner, L. Dinh, K. Goel, A. Courville, Y. Bengio

  • [NeurIPS2015][pdf]

Gated Feedback Recurrent Neural Networks

  • J. Chung, C. Gulcehre, K. Cho, Y. Bengio

  • [ICML2015][oral][pdf]

RMSProp and Equilibrated Adaptive Learning Rates for Non-Convex Optimization

  • Y. Dauphin, H. De Vries, J. Chung, Y. Bengio

  • [ICML'15 Workshop on Deep Learning]

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modelling

  • J. Chung, C. Gulcehre, K. Cho, Y. Bengio

  • [NeurIPS'14 Workshop on Deep Learning and Representation Learning][pdf]

Joint Estimation of Pose and Face Landmark

  • D. Lee, J. Chung, C. Yoo

  • [ACCV2014][pdf]

Deep Attribute Networks

  • J. Chung, D. Lee, Y. Seo, C. Yoo

  • [NeurIPS'12 Workshop on Deep Learning and Unsupervised Feature Learning][pdf]

Sparsity Sharing Embedding for Face Verification

  • D. Lee, H. Park, J. Chung, Y. Song, C. Yoo

  • [ACCV2012][pdf]



On Deep Multiscale Recurrent Neural Networks

  • J. Chung

  • [PhD Dissertation][pdf]


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