Kim, Saehoon

21 publications

NeurIPS 2024 Simulation-Free Training of Neural ODEs on Paired Data Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong

CVPR 2023 Generalizable Implicit Neural Representations via Instance Pattern Composers Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han

CVPR 2023 Variational Distribution Learning for Unsupervised Text-to-Image Generation Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han

CVPR 2022 Autoregressive Image Generation Using Residual Quantization Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

NeurIPS 2022 Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook Shin Han

NeurIPS 2022 Locally Hierarchical Auto-Regressive Modeling for Image Generation Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han

ICLR 2022 Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity Byungseok Roh, JaeWoong Shin, Wuhyun Shin, Saehoon Kim

ICMLW 2021 Automated Learning Rate Scheduler for Large-Batch Training Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim

MLJ 2021 Bayesian Optimization with Approximate Set Kernels Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi

AAAI 2020 Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang

ICLR 2020 Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-Distribution Tasks Hae Beom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang

ICLR 2020 Scalable and Order-Robust Continual Learning with Additive Parameter Decomposition Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

ICLR 2019 Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang

NeurIPS 2018 DropMax: Adaptive Variational SoftMax Hae Beom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang

AAAI 2018 On the Optimal Bit Complexity of Circulant Binary Embedding Saehoon Kim, Jungtaek Kim, Seungjin Choi

AAAI 2018 Product Quantized Translation for Fast Nearest Neighbor Search Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn

NeurIPS 2018 Uncertainty-Aware Attention for Reliable Interpretation and Prediction Jay Heo, Hae Beom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang

AAAI 2017 Binary Embedding with Additive Homogeneous Kernels Saehoon Kim, Seungjin Choi

CVPR 2015 Bilinear Random Projections for Locality-Sensitive Binary Codes Saehoon Kim, Seungjin Choi

WACV 2015 Near Duplicate Image Discovery on One Billion Images Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi

ECCV 2012 Sequential Spectral Learning to Hash with Multiple Representations Saehoon Kim, Yoonseop Kang, Seungjin Choi