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Saehoon Kim
Saehoon Kim
AI Researcher, 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
8462019
Scalable and order-robust continual learning with additive parameter decomposition
J Yoon, S Kim, E Yang, SJ Hwang
arXiv preprint arXiv:1902.09432, 2019
1442019
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
1222019
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
1192014
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
1182022
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
1142021
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
1002019
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
992018
Deep learning to hash with multiple representations
Y Kang, S Kim, S Choi
2012 IEEE 12th International Conference on Data Mining, 930-935, 2012
792012
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
702015
Multi-view anchor graph hashing
S Kim, S Choi
2013 IEEE international conference on acoustics, speech and signal …, 2013
592013
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
542012
Learning to warm-start Bayesian hyperparameter optimization
J Kim, S Kim, S Choi
arXiv preprint arXiv:1710.06219, 2017
452017
Semi-supervised discriminant hashing
S Kim, S Choi
2011 IEEE 11th International Conference on Data Mining, 1122-1127, 2011
392011
Bilinear random projections for locality-sensitive binary codes
S Kim, S Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
242015
DropMax: Adaptive variational softmax
HB Lee, J Lee, S Kim, E Yang, SJ Hwang
Advances in Neural Information Processing Systems 31, 2018
18*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
172016
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
16*2020
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
152022
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
152015
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