Saehoon Kim

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 35

Top Topics

Prediction Model

Gaussian Process

Top Venues

Publications

Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han
Variational Distribution Learning for Unsupervised Text-to-Image Generation. CVPR (2023)
Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
Generalizable Implicit Neural Representations via Instance Pattern Composers. CVPR (2023)
Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han
Variational Distribution Learning for Unsupervised Text-to-Image Generation. CoRR (2023)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Autoregressive Image Generation using Residual Quantization. CVPR (2022)
Youhan Lee, Kyungtae Lim, Woonhyuk Baek, Byungseok Roh, Saehoon Kim
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss. COLING (2022)
Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
Generalizable Implicit Neural Representations via Instance Pattern Composers. CoRR (2022)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. CoRR (2022)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. NeurIPS (2022)
Byungseok Roh, Jaewoong Shin, Wuhyun Shin, Saehoon Kim
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity. ICLR (2022)
Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han
Locally Hierarchical Auto-Regressive Modeling for Image Generation. NeurIPS (2022)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Autoregressive Image Generation using Residual Quantization. CoRR (2022)
Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim
Automated Learning Rate Scheduler for Large-batch Training. CoRR (2021)
Byungseok Roh, Jaewoong Shin, Wuhyun Shin, Saehoon Kim
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity. CoRR (2021)
Saehoon Kim, Sungwoong Kim, Juho Lee
Hybrid Generative-Contrastive Representation Learning. CoRR (2021)
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
Bayesian optimization with approximate set kernels. Mach. Learn. 110 (5) (2021)
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR (2020)
Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI (2020)
Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR (2020)
Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi
MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR (2019)
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
ORACLE: Order Robust Adaptive Continual LEarning. CoRR (2019)
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
Bayesian Optimization over Sets. CoRR (2019)
Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) (2019)
Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR (2019)
Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR (2018)
Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
DropMax: Adaptive Variational Softmax. NeurIPS (2018)
Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn
Product Quantized Translation for Fast Nearest Neighbor Search. AAAI (2018)
Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR (2018)
Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS (2018)
Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR (2018)
Saehoon Kim, Jungtaek Kim, Seungjin Choi
On the Optimal Bit Complexity of Circulant Binary Embedding. AAAI (2018)
Saehoon Kim, Seungjin Choi
Sparse Circulant Binary Embedding: An Asymptotic Analysis. IEEE Signal Process. Lett. 25 (3) (2018)
Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Yi Yang
Transductive Propagation Network for Few-shot Learning. CoRR (2018)
Saehoon Kim, Seungjin Choi
Binary Embedding with Additive Homogeneous Kernels. AAAI (2017)
Jungtaek Kim, Saehoon Kim, Seungjin Choi
Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. CoRR (2017)
Seung-won Hwang, Saehoon Kim, Yuxiong He, Sameh Elnikety, Seungjin Choi
Prediction and Predictability for Search Query Acceleration. ACM Trans. Web 10 (3) (2016)
Saehoon Kim, Seungjin Choi
Bilinear Random Projections for Locality-Sensitive Binary Codes. CoRR (2015)
Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. WSDM (2015)
Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi
Near Duplicate Image Discovery on One Billion Images. WACV (2015)
Saehoon Kim, Seungjin Choi
Bilinear random projections for locality-sensitive binary codes. CVPR (2015)
Myeongjae Jeon, Saehoon Kim, Seung-won Hwang, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner
Predictive parallelization: taming tail latencies in web search. SIGIR (2014)
Saehoon Kim, Seungjin Choi
Multi-view anchor graph hashing. ICASSP (2013)
Jeong-Min Yun, Saehoon Kim, Seungjin Choi
Hashing with Generalized Nyström Approximation. ICDM (2012)
Saehoon Kim, Yoonseop Kang, Seungjin Choi
Sequential Spectral Learning to Hash with Multiple Representations. ECCV (5) (2012)
Yoonseop Kang, Saehoon Kim, Seungjin Choi
Deep Learning to Hash with Multiple Representations. ICDM (2012)
Saehoon Kim, Seungjin Choi
Semi-supervised Discriminant Hashing. ICDM (2011)