| 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 | 1122 | 2015 |
| Nonnegative tucker decomposition YD Kim, S Choi 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 310 | 2007 |
| Non-negative matrix factorization with α-divergence A Cichocki, H Lee, YD Kim, S Choi Pattern Recognition Letters 29 (9), 1433-1440, 2008 | 190 | 2008 |
| 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 | 185 | 2015 |
| 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 | 147 | 2007 |
| Weighted nonnegative matrix factorization YD Kim, S Choi 2009 IEEE international conference on acoustics, speech and signal …, 2009 | 126 | 2009 |
| Hierarchical Bayesian matrix factorization with side information S Park, YD Kim, S Choi Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 77 | 2013 |
| 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 | 65 | 2018 |
| Nonnegative Tucker decomposition with alpha-divergence YD Kim, A Cichocki, S Choi 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 52 | 2008 |
| Scalable Variational Bayesian Matrix Factorization with Side Information YD Kim, S Choi Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 49 | 2014 |
| Bayesian Binomial Mixture Model for Collaborative Prediction with Non-random Missing Data YD Kim, S Choi ACM Conference on Recommender Systems, 2014 | 31 | 2014 |
| A method of initialization for nonnegative matrix factorization YD Kim, S Choi 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 31 | 2007 |
| 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 | 27 | 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 | 19 | 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 | 17 | 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 |
| vtrain: A simulation framework for evaluating cost-effective and compute-optimal large language model training J Bang, Y Choi, M Kim, Y Kim, M Rhu 2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO), 153-167, 2024 | 6 | 2024 |
| Scalable variational bayesian matrix factorization YD Kim, S Choi Proceedings of the First Workshop on Large-Scale Recommender Systems (LSRS), 2013 | 3 | 2013 |
| Benchmark of machine learning force fields for semiconductor simulations: datasets, metrics, and comparative analysis G Kim, B Na, G Kim, H Cho, S Kang, HS Lee, S Choi, H Kim, S Lee, Y Kim Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Breaking MLPerf Training: A Case Study on Optimizing BERT SY Yongdeok Kim, Jaehyung Ahn, Myeongwoo Kim, Changin Choi, Heejae Kim ... https://arxiv.org/abs/2402.02447, 2024 | | 2024 |
Seungjin ChoiDirector of Machine Learning Lab, IntellicodeVerified email at postech.ac.kr
