Saehoon Kim
Saehoon Kim
AI Researcher, Kakao Brain
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Deep learning to hash with multiple representations
Y Kang, S Kim, S Choi
2012 IEEE 12th International Conference on Data Mining, 930-935, 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
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), 1-10, 2019
Sequential spectral learning to hash with multiple representations
S Kim, Y Kang, S Choi
European Conference on Computer Vision, 538-551, 2012
Scalable and order-robust continual learning with additive parameter decomposition
J Yoon, S Kim, E Yang, SJ Hwang
arXiv preprint arXiv:1902.09432, 2019
Multi-view anchor graph hashing
S Kim, S Choi
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Semi-supervised discriminant hashing
S Kim, S Choi
2011 IEEE 11th International Conference on Data Mining, 1122-1127, 2011
Learning to warm-start Bayesian hyperparameter optimization
J Kim, S Kim, S Choi
arXiv preprint arXiv:1710.06219, 2017
Bilinear random projections for locality-sensitive binary codes
S Kim, S Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
DropMax: Adaptive variational softmax
HB Lee, J Lee, S Kim, E Yang, SJ Hwang
Advances in Neural Information Processing Systems 31, 2018
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
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
Deep mixed effect model using Gaussian processes: a personalized and reliable prediction for healthcare
I Chung, S Kim, J Lee, KJ Kim, SJ Hwang, E Yang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3649-3657, 2020
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
Local dimensionality reduction for multiple instance learning
S Kim, S Choi
2010 IEEE International workshop on machine learning for signal processing …, 2010
Adaptive network sparsification with dependent variational beta-bernoulli dropout
J Lee, S Kim, J Yoon, HB Lee, E Yang, SJ Hwang
arXiv preprint arXiv:1805.10896, 2018
The system can't perform the operation now. Try again later.
Articles 1–20