Saehoon Kim

According to our database1, Saehoon Kim authored at least 38 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Generalizable Implicit Neural Representations via Instance Pattern Composers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Variational Distribution Learning for Unsupervised Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Locally Hierarchical Auto-Regressive Modeling for Image Generation.
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.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Autoregressive Image Generation using Residual Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Bayesian optimization with approximate set kernels.
Mach. Learn., 2021

Automated Learning Rate Scheduler for Large-batch Training.
CoRR, 2021

Hybrid Generative-Contrastive Representation Learning.
CoRR, 2021

2020
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare.
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.
CoRR, 2019

Bayesian Optimization over Sets.
CoRR, 2019

MxML: Mixture of Meta-Learners for Few-Shot Classification.
CoRR, 2019

ORACLE: Order Robust Adaptive Continual LEarning.
CoRR, 2019

Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Sparse Circulant Binary Embedding: An Asymptotic Analysis.
IEEE Signal Process. Lett., 2018

Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare.
CoRR, 2018

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.
CoRR, 2018

Transductive Propagation Network for Few-shot Learning.
CoRR, 2018

DropMax: Adaptive Variational Softmax.
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.
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.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Product Quantized Translation for Fast Nearest Neighbor Search.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning to Transfer Initializations for Bayesian Hyperparameter Optimization.
CoRR, 2017

Binary Embedding with Additive Homogeneous Kernels.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Prediction and Predictability for Search Query Acceleration.
ACM Trans. Web, 2016

2015
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Near Duplicate Image Discovery on One Billion Images.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Bilinear random projections for locality-sensitive binary codes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Predictive parallelization: taming tail latencies in web search.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013
Multi-view anchor graph hashing.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Hashing with Generalized Nyström Approximation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Deep Learning to Hash with Multiple Representations.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Sequential Spectral Learning to Hash with Multiple Representations.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Semi-supervised Discriminant Hashing.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011


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