Saehoon Kim
Saehoon Kim
AI Research Scientist, Kakao Brain
Verified email at kakaobrain.com - Homepage
Title
Cited by
Cited by
Year
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
1432019
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
872014
Deep learning to hash with multiple representations
Y Kang, S Kim, S Choi
2012 IEEE 12th International Conference on Data Mining, 930-935, 2012
532012
Sequential spectral learning to hash with multiple representations
S Kim, Y Kang, S Choi
European Conference on Computer Vision, 538-551, 2012
472012
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
452015
Multi-view anchor graph hashing
S Kim, S Choi
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
322013
Semi-supervised discriminant hashing
S Kim, S Choi
2011 IEEE 11th International Conference on Data Mining, 1122-1127, 2011
272011
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, 909-918, 2018
252018
Bilinear random projections for locality-sensitive binary codes
S Kim, S Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
212015
Near duplicate image discovery on one billion images
S Kim, XJ Wang, L Zhang, S Choi
2015 IEEE Winter Conference on Applications of Computer Vision, 943-950, 2015
142015
Learning to warm-start Bayesian hyperparameter optimization
J Kim, S Kim, S Choi
arXiv preprint arXiv:1710.06219, 2017
132017
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
112019
Prediction and predictability for search query acceleration
SW Hwang, S Kim, Y He, S Elnikety, S Choi
ACM Transactions on the Web (TWEB) 10 (3), 1-28, 2016
92016
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
J Yoon, S Kim, E Yang, SJ Hwang
arXiv preprint arXiv:1902.09432, 2019
8*2019
Local dimensionality reduction for multiple instance learning
S Kim, S Choi
2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010
72010
DropMax: Adaptive variational softmax
HB Lee, J Lee, S Kim, E Yang, SJ Hwang
Advances in Neural Information Processing Systems, 919-929, 2018
6*2018
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), 279, 2019
52019
Mxml: Mixture of meta-learners for few-shot classification
M Park, J Kim, S Kim, Y Liu, S Choi
arXiv preprint arXiv:1904.05658, 2019
52019
Deep Mixed Effect Models using Gaussian Process: A Personalized and Reliable Prediction Model for Healthcare
I Chung, S Kim, KJ Kim, SJ Hwang, E Yang
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
3*2020
Bayesian optimization over sets
J Kim, M McCourt, T You, S Kim, S Choi
6th ICML Workshop on Automated Machine Learning, 2019
32019
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Articles 1–20