Saehoon Kim

According to our database¹, Saehoon Kim authored at least 39 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Simulation-Free Training of Neural ODEs on Paired Data.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Generalizable Implicit Neural Representations via Instance Pattern Composers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Variational Distribution Learning for Unsupervised Text-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Locally Hierarchical Auto-Regressive Modeling for Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Autoregressive Image Generation using Residual Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Bayesian optimization with approximate set kernels.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Automated Learning Rate Scheduler for Large-batch Training.

[BibT_eX]

[DOI]

CoRR, 2021

Hybrid Generative-Contrastive Representation Learning.

[BibT_eX]

[DOI]

Saehoon Kim

Sungwoong Kim

Juho Lee

CoRR, 2021

2020

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.

[BibT_eX]

[DOI]

CoRR, 2019

Bayesian Optimization over Sets.

[BibT_eX]

[DOI]

CoRR, 2019

MxML: Mixture of Meta-Learners for Few-Shot Classification.

[BibT_eX]

[DOI]

CoRR, 2019

ORACLE: Order Robust Adaptive Continual LEarning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Sparse Circulant Binary Embedding: An Asymptotic Analysis.

[BibT_eX]

[DOI]

Saehoon Kim

Seungjin Choi

IEEE Signal Process. Lett., 2018

Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.

[BibT_eX]

[DOI]

CoRR, 2018

Transductive Propagation Network for Few-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2018

DropMax: Adaptive Variational Softmax.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Uncertainty-Aware Attention for Reliable Interpretation and Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Optimal Bit Complexity of Circulant Binary Embedding.

[BibT_eX]

[DOI]

Saehoon Kim

Jungtaek Kim

Seungjin Choi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Product Quantized Translation for Fast Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning to Transfer Initializations for Bayesian Hyperparameter Optimization.

[BibT_eX]

[DOI]

Jungtaek Kim

Saehoon Kim

Seungjin Choi

CoRR, 2017

Binary Embedding with Additive Homogeneous Kernels.

[BibT_eX]

[DOI]

Saehoon Kim

Seungjin Choi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Prediction and Predictability for Search Query Acceleration.

[BibT_eX]

[DOI]

ACM Trans. Web, 2016

2015

Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Near Duplicate Image Discovery on One Billion Images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Bilinear random projections for locality-sensitive binary codes.

[BibT_eX]

[DOI]

Saehoon Kim

Seungjin Choi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Predictive parallelization: taming tail latencies in web search.

[BibT_eX]

[DOI]

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013

Multi-view anchor graph hashing.

[BibT_eX]

[DOI]

Saehoon Kim

Seungjin Choi

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Hashing with Generalized Nyström Approximation.

[BibT_eX]

[DOI]

Jeong-Min Yun

Saehoon Kim

Seungjin Choi

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Deep Learning to Hash with Multiple Representations.

[BibT_eX]

[DOI]

Yoonseop Kang

Saehoon Kim

Seungjin Choi

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Sequential Spectral Learning to Hash with Multiple Representations.

[BibT_eX]

[DOI]

Saehoon Kim

Yoonseop Kang

Seungjin Choi

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Semi-supervised Discriminant Hashing.

[BibT_eX]

[DOI]

Saehoon Kim

Seungjin Choi

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Saehoon Kim

Timeline

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