| 2023 | CVPR | Variational Distribution Learning for Unsupervised Text-to-Image Generation. | Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han |
| 2023 | CVPR | Generalizable Implicit Neural Representations via Instance Pattern Composers. | Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han |
| 2022 | COLING | Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss. | Youhan Lee, Kyungtae Lim, Woonhyuk Baek, Byungseok Roh, Saehoon Kim |
| 2022 | CVPR | Autoregressive Image Generation using Residual Quantization. | Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han |
| 2022 | ICLR | Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity. | Byungseok Roh, Jaewoong Shin, Wuhyun Shin, Saehoon Kim |
| 2020 | AAAI | 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 |
| 2020 | ICLR | Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. | Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang |
| 2020 | ICLR | Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. | Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang |
| 2019 | ICLR | 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 |
| 2018 | AAAI | Product Quantized Translation for Fast Nearest Neighbor Search. | Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn |
| 2018 | AAAI | On the Optimal Bit Complexity of Circulant Binary Embedding. | Saehoon Kim, Jungtaek Kim, Seungjin Choi |
| 2017 | AAAI | Binary Embedding with Additive Homogeneous Kernels. | Saehoon Kim, Seungjin Choi |
| 2015 | CVPR | Bilinear random projections for locality-sensitive binary codes. | Saehoon Kim, Seungjin Choi |
| 2015 | WACV | Near Duplicate Image Discovery on One Billion Images. | Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi |
| 2015 | WSDM | Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. | Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi |
| 2014 | SIGIR | Predictive parallelization: taming tail latencies in web search. | Myeongjae Jeon, Saehoon Kim, Seung-won Hwang, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner |
| 2013 | ICASSP | Multi-view anchor graph hashing. | Saehoon Kim, Seungjin Choi |
| 2012 | ECCV | Sequential Spectral Learning to Hash with Multiple Representations. | Saehoon Kim, Yoonseop Kang, Seungjin Choi |
| 2012 | ICDM | Deep Learning to Hash with Multiple Representations. | Yoonseop Kang, Saehoon Kim, Seungjin Choi |
| 2012 | ICDM | Hashing with Generalized Nystrm Approximation. | Jeong-Min Yun, Saehoon Kim, Seungjin Choi |
| 2011 | ICDM | Semi-supervised Discriminant Hashing. | Saehoon Kim, Seungjin Choi |