| Compression of deep convolutional neural networks for fast and low power mobile applications YD Kim, E Park, S Yoo, T Choi, L Yang, D Shin th International Conference on Learning Representations, ICLR 2016, San Juan …, 2015 | 948 | 2015 |
| Nonnegative tucker decomposition YD Kim, S Choi 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 267 | 2007 |
| Non-negative matrix factorization with α-divergence A Cichocki, H Lee, YD Kim, S Choi Pattern Recognition Letters 29 (9), 1433-1440, 2008 | 175 | 2008 |
| Nonnegative tensor factorization for continuous EEG classification H Lee, YD Kim, A Cichocki, S Choi International journal of neural systems 17 (04), 305-317, 2007 | 136 | 2007 |
| Big/little deep neural network for ultra low power inference E Park, D Kim, S Kim, YD Kim, G Kim, S Yoon, S Yoo 2015 International Conference on Hardware/Software Codesign and System …, 2015 | 131 | 2015 |
| Weighted nonnegative matrix factorization YD Kim, S Choi 2009 IEEE international conference on acoustics, speech and signal …, 2009 | 114 | 2009 |
| Hierarchical bayesian matrix factorization with side information S Park, YD Kim, S Choi Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 74 | 2013 |
| Nonnegative Tucker decomposition with alpha-divergence YD Kim, A Cichocki, S Choi 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 50 | 2008 |
| Scalable Variational Bayesian Matrix Factorization with Side Information YD Kim, S Choi Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 46 | 2014 |
| Open set recognition by regularising classifier with fake data generated by generative adversarial networks I Jo, J Kim, H Kang, YD Kim, S Choi 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 35 | 2018 |
| A method of initialization for nonnegative matrix factorization YD Kim, S Choi 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 30 | 2007 |
| Bayesian Binomial Mixture Model for Collaborative Prediction with Non-random Missing Data YD Kim, S Choi ACM Conference on Recommender Systems, 2014 | 26 | 2014 |
| Deep learning based automatic defect classification in through-silicon Via process: FA: Factory automation J Kim, S Kim, N Kwon, H Kang, Y Kim, C Lee 2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC …, 2018 | 17 | 2018 |
| Learning to select pre-trained deep representations with bayesian evidence framework YD Kim, T Jang, B Han, S Choi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 16 | 2016 |
| Variational Bayesian view of weighted trace norm regularization for matrix factorization YD Kim, S Choi IEEE Signal Processing Letters 20 (3), 261-264, 2013 | 15 | 2013 |
| Color face tensor factorization and slicing for illumination-robust recognition YD Kim, S Choi Advances in Biometrics: International Conference, ICB 2007, Seoul, Korea …, 2007 | 15 | 2007 |
| Scalable variational bayesian matrix factorization YD Kim, S Choi Proceedings of the First Workshop on Large-Scale Recommender Systems (LSRS), 2013 | 3 | 2013 |
| Nonnegative Tensor Factorization for Continuous EEG Classification HK Lee, YD Kim, A Cichocki, SJ Choi Journal of KIISE: Computing Practices and Letters 14 (5), 497-501, 2008 | | 2008 |
Seungjin ChoiDirector of Machine Learning Lab, IntellicodeVerified email at postech.ac.kr
