Saehoon Kim

发表

Local dimensionality reduction for multiple instance learning

Seungjin Choi, Saehoon Kim, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

TAEML: Task-Adaptive Ensemble of Meta-Learners

Jungtaek Kim, Saehoon Kim, Minseop Park, 2018 .

A deep learning model for real-time mortality prediction in critically ill children

Saehoon Kim, Minseop Park, Kyung Won Kim, 2019, Critical Care.

ING WITH ADDITIVE PARAMETER DECOMPOSITION

Sung Ju Hwang, Eunho Yang, Saehoon Kim, 2020 .

OUT-OF-DISTRIBUTION TASKS

Sung Ju Hwang, Eunho Yang, Saehoon Kim, 2020 .

Learning to Warm-Start Bayesian Hyperparameter Optimization

Seungjin Choi, Jungtaek Kim, Saehoon Kim, 2017 .

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

Minsu Cho, Wook-Shin Han, Saehoon Kim, 2022, NeurIPS.

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Sung Ju Hwang, Eunho Yang, Saehoon Kim, 2019, ICLR.

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

Saehoon Kim, Kyungtae Lim, Woonhyuk Baek, 2022, COLING.

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

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2019, ICLR.

Learning to Transfer Initializations for Bayesian Hyperparameter Optimization pdf

Seungjin Choi, Saehoon Kim, Jungtaek Kim, 2017, ArXiv.

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

Eunho Yang, Saehoon Kim, Yi Yang, 2018, ICLR.

Practical Bayesian Optimization over Sets

Saehoon Kim, Seungjin Choi, Tackgeun You, 2019 .

Autoregressive Image Generation using Residual Quantization

Wook-Shin Han, Saehoon Kim, Minsu Cho, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hybrid Generative-Contrastive Representation Learning pdf

Saehoon Kim, Juho Lee, Sungwoong Kim, 2021, ArXiv.

Bayesian Optimization over Sets pdf

Seungjin Choi, Saehoon Kim, Tackgeun You, 2019, ArXiv.

Multi-view anchor graph hashing

Seungjin Choi, Saehoon Kim, Seungjin Choi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Saehoon Kim, Byung-Seok Roh, Wuhyun Shin, 2021, ICLR.

Deep Learning to Hash with Multiple Representations

Seungjin Choi, Saehoon Kim, Yoonseop Kang, 2012, 2012 IEEE 12th International Conference on Data Mining.

Transductive Propagation Network for Few-shot Learning pdf

Yi Yang, Yanbin Liu, Juho Lee, 2018, ArXiv.

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

Eunho Yang, Juho Lee, Saehoon Kim, 2018, NeurIPS.

ORACLE: Order Robust Adaptive Continual LEarning pdf

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2019, ArXiv.

Generalizable Implicit Neural Representations via Instance Pattern Composers

Wook-Shin Han, Saehoon Kim, Minsu Cho, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout pdf

Eunho Yang, Juho Lee, Saehoon Kim, 2018, 1805.10896.

DropMax: Adaptive Variational Softmax

Eunho Yang, Juho Lee, Saehoon Kim, 2017, NeurIPS.

Prediction and Predictability for Search Query Acceleration

Seung-won Hwang, Sameh Elnikety, Yuxiong He, 2016, ACM Trans. Web.

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

Seung-won Hwang, Sameh Elnikety, Yuxiong He, 2015, WSDM.

Predictive parallelization: taming tail latencies in web search

Seung-won Hwang, Alan L. Cox, Sameh Elnikety, 2014, SIGIR.

Sequential Spectral Learning to Hash with Multiple Representations

Seungjin Choi, Saehoon Kim, Yoonseop Kang, 2012, ECCV.

Variational Distribution Learning for Unsupervised Text-to-Image Generation

Bohyung Han, Saehoon Kim, Minsoo Kang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bayesian optimization with approximate set kernels

Seungjin Choi, Jungtaek Kim, Saehoon Kim, 2021, Machine Learning.

Bilinear random projections for locality-sensitive binary codes

Seungjin Choi, Saehoon Kim, Seungjin Choi, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Seungjin Choi, Yanbin Liu, Saehoon Kim, 2019, ArXiv.

Deep Mixed Effect Models using Gaussian Process: A Personalized and Reliable Prediction Model for Healthcare

Sung Ju Hwang, Kwang Joon Kim, Eunho Yang, 2019 .

Automated Learning Rate Scheduler for Large-batch Training pdf

Saehoon Kim, Chiheon Kim, Sungwoong Kim, 2021, ArXiv.