| Learning to propagate labels: Transductive propagation network for few-shot learning Y Liu, J Lee, M Park, S Kim, E Yang, SJ Hwang, Y Yang ICLR 2019, 2019 | 954 | 2019 |
| Autoregressive image generation using residual quantization D Lee, C Kim, S Kim, M Cho, WS Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 286 | 2022 |
| Coyo-700m: Image-text pair dataset M Byeon, B Park, H Kim, S Lee, W Baek, S Kim | 227 | 2022 |
| Sparse detr: Efficient end-to-end object detection with learnable sparsity B Roh, JW Shin, W Shin, S Kim arXiv preprint arXiv:2111.14330, 2021 | 188 | 2021 |
| Scalable and order-robust continual learning with additive parameter decomposition J Yoon, S Kim, E Yang, SJ Hwang arXiv preprint arXiv:1902.09432, 2019 | 187 | 2019 |
| Learning to balance: Bayesian meta-learning for imbalanced and out-of-distribution tasks HB Lee, H Lee, D Na, S Kim, M Park, E Yang, SJ Hwang arXiv preprint arXiv:1905.12917, 2019 | 134 | 2019 |
| Predictive parallelization: Taming tail latencies in web search M Jeon, S Kim, S Hwang, Y He, S Elnikety, AL Cox, S Rixner Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 122 | 2014 |
| A deep learning model for real-time mortality prediction in critically ill children SY Kim, S Kim, J Cho, YS Kim, IS Sol, Y Sung, I Cho, M Park, H Jang, ... Critical care 23, 1-10, 2019 | 106 | 2019 |
| Uncertainty-aware attention for reliable interpretation and prediction J Heo, HB Lee, S Kim, J Lee, KJ Kim, E Yang, SJ Hwang Advances in neural information processing systems 31, 2018 | 106 | 2018 |
| Deep learning to hash with multiple representations Y Kang, S Kim, S Choi 2012 IEEE 12th International Conference on Data Mining, 930-935, 2012 | 87 | 2012 |
| Delayed-Dynamic-Selective (DDS) prediction for reducing extreme tail latency in web search S Kim, Y He, S Hwang, S Elnikety, S Choi Proceedings of the Eighth ACM International Conference on Web Search and …, 2015 | 71 | 2015 |
| Multi-view anchor graph hashing S Kim, S Choi 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 65 | 2013 |
| Sequential spectral learning to hash with multiple representations S Kim, Y Kang, S Choi Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 56 | 2012 |
| Learning to warm-start Bayesian hyperparameter optimization J Kim, S Kim, S Choi arXiv preprint arXiv:1710.06219, 2017 | 50 | 2017 |
| Semi-supervised discriminant hashing S Kim, S Choi 2011 IEEE 11th International Conference on Data Mining, 1122-1127, 2011 | 39 | 2011 |
| Draft-and-revise: Effective image generation with contextual rq-transformer D Lee, C Kim, S Kim, M Cho, WS HAN Advances in Neural Information Processing Systems 35, 30127-30138, 2022 | 25 | 2022 |
| Bilinear random projections for locality-sensitive binary codes S Kim, S Choi Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 24 | 2015 |
| Generalizable implicit neural representations via instance pattern composers C Kim, D Lee, S Kim, M Cho, WS Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 22 | 2023 |
| DropMax: Adaptive variational softmax HB Lee, J Lee, S Kim, E Yang, SJ Hwang Advances in Neural Information Processing Systems 31, 2018 | 19* | 2018 |
| Automated learning rate scheduler for large-batch training C Kim, S Kim, J Kim, D Lee, S Kim arXiv preprint arXiv:2107.05855, 2021 | 18 | 2021 |
Sung Ju HwangKAIST, DeepAutoVerified email at kaist.ac.kr
