Saehoon Kim - RankMe

48 papers A* 20A 2B 1Misc 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Comparative Evaluation of Generative AI Models for Chest Radiograph Report Generation in the Emergency Department. CoRR Woo Hyeon Lim, Ji Young Lee, Jong Hyuk Lee, Saehoon Kim, Hyungjin Kim
2024	A*	`conf`	Simulation-Free Training of Neural ODEs on Paired Data. NeurIPS Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
2024	J	`jnl`	Simulation-Free Training of Neural ODEs on Paired Data. CoRR Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
2023	A*	`conf`	Generalizable Implicit Neural Representations via Instance Pattern Composers. CVPR Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
2023	A*	`conf`	Variational Distribution Learning for Unsupervised Text-to-Image Generation. CVPR Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han
2023	J	`jnl`	Variational Distribution Learning for Unsupervised Text-to-Image Generation. CoRR Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han
2022	A*	`conf`	Autoregressive Image Generation using Residual Quantization. CVPR Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022	J	`jnl`	Autoregressive Image Generation using Residual Quantization. CoRR Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022	A*	`conf`	Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. NeurIPS Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022	J	`jnl`	Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. CoRR Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022	B	`conf`	Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss. COLING Youhan Lee, Kyungtae Lim, Woonhyuk Baek, Byungseok Roh, Saehoon Kim
2022	J	`jnl`	Generalizable Implicit Neural Representations via Instance Pattern Composers. CoRR Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022	A*	`conf`	Locally Hierarchical Auto-Regressive Modeling for Image Generation. NeurIPS Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han
2022	A*	`conf`	Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity. ICLR Byungseok Roh, Jaewoong Shin, Wuhyun Shin, Saehoon Kim
2021	J	`jnl`	Automated Learning Rate Scheduler for Large-batch Training. CoRR Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim
2021	J	`jnl`	Bayesian optimization with approximate set kernels. Mach. Learn. Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
2021	J	`jnl`	Hybrid Generative-Contrastive Representation Learning. CoRR Saehoon Kim, Sungwoong Kim, Juho Lee
2021	J	`jnl`	Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity. CoRR Byungseok Roh, Jaewoong Shin, Wuhyun Shin, Saehoon Kim
2020	A*	`conf`	Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
2020	A*	`conf`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2020	A*	`conf`	Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2019	J	`jnl`	Bayesian Optimization over Sets. CoRR Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
2019	J	`jnl`	Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR Donghyun Na, Hayeon Lee, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
2019	—	`conf`	Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang
2019	J	`jnl`	MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi
2019	J	`jnl`	ORACLE: Order Robust Adaptive Continual LEarning. CoRR Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2018	J	`jnl`	Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
2018	A*	`conf`	DropMax: Adaptive Variational Softmax. NeurIPS Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2018	J	`jnl`	Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang
2018	A*	`conf`	On the Optimal Bit Complexity of Circulant Binary Embedding. AAAI Saehoon Kim, Jungtaek Kim, Seungjin Choi
2018	A*	`conf`	Product Quantized Translation for Fast Nearest Neighbor Search. AAAI Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn
2018	J	`jnl`	Sparse Circulant Binary Embedding: An Asymptotic Analysis. IEEE Signal Process. Lett. Saehoon Kim, Seungjin Choi
2018	J	`jnl`	Transductive Propagation Network for Few-shot Learning. CoRR Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Yi Yang
2018	A*	`conf`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2018	J	`jnl`	Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
2017	A*	`conf`	Binary Embedding with Additive Homogeneous Kernels. AAAI Saehoon Kim, Seungjin Choi
2017	J	`jnl`	Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. CoRR Jungtaek Kim, Saehoon Kim, Seungjin Choi
2016	J	`jnl`	Prediction and Predictability for Search Query Acceleration. ACM Trans. Web Seung-won Hwang, Saehoon Kim, Yuxiong He, Sameh Elnikety, Seungjin Choi
2015	J	`jnl`	Bilinear Random Projections for Locality-Sensitive Binary Codes. CoRR Saehoon Kim, Seungjin Choi
2015	A*	`conf`	Bilinear random projections for locality-sensitive binary codes. CVPR Saehoon Kim, Seungjin Choi
2015	A	`conf`	Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. WSDM Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi
2015	A	`conf`	Near Duplicate Image Discovery on One Billion Images. WACV Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi
2014	A*	`conf`	Predictive parallelization: taming tail latencies in web search. SIGIR Myeongjae Jeon, Saehoon Kim, Seung-won Hwang, Yuxiong He, Sameh Elnikety, Alan L. Cox, Scott Rixner
2013	Misc	`conf`	Multi-view anchor graph hashing. ICASSP Saehoon Kim, Seungjin Choi
2012	A*	`conf`	Deep Learning to Hash with Multiple Representations. ICDM Yoonseop Kang, Saehoon Kim, Seungjin Choi
2012	A*	`conf`	Hashing with Generalized Nyström Approximation. ICDM Jeong-Min Yun, Saehoon Kim, Seungjin Choi
2012	—	`conf`	Sequential Spectral Learning to Hash with Multiple Representations. ECCV (5) Saehoon Kim, Yoonseop Kang, Seungjin Choi
2011	A*	`conf`	Semi-supervised Discriminant Hashing. ICDM Saehoon Kim, Seungjin Choi