Seo Taek Kong - RankMe

19 papers A* 2Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Finite-Sample Wasserstein Error Bounds and Concentration Inequalities for Nonlinear Stochastic Approximation. CoRR Seo Taek Kong, R. Srikant
2025	J	`jnl`	Nonasymptotic CLT and Error Bounds for Two-Time-Scale Stochastic Approximation. CoRR Seo Taek Kong, Sihan Zeng, Thinh T. Doan, R. Srikant
2025	J	`jnl`	Primal-Dual Direct Preference Optimization for Constrained LLM Alignment. CoRR Yihan Du, Seo Taek Kong, R. Srikant
2025	J	`jnl`	Spectral Clustering and Labeling for Crowdsourcing with Inherently Distinct Task Types. Trans. Mach. Learn. Res. Saptarshi Mandal, Seo Taek Kong, Dimitrios Katselis, R. Srikant
2024	—	`conf`	Self-Accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method. ECCV Workshops (19) Hongjun Choi, Dongbin Na, Kyungjin Cho, Byunguk Bae, Seo Taek Kong, Hyunjoon Ahn, Sungchul Choi, Jaeyoung Kim
2023	J	`jnl`	A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks. CoRR Seo Taek Kong, Saptarshi Mandal, Dimitrios Katselis, R. Srikant
2023	A*	`conf`	Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. AAAI Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
2023	J	`jnl`	Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. CoRR Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
2023	J	`jnl`	Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method. CoRR Hongjun Choi, Dongbin Na, Kyungjin Cho, Byunguk Bae, Seo Taek Kong, Hyunjoon An
2022	A*	`conf`	A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity. NeurIPS Seo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung
2022	—	`conf`	Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment. MILLanD@MICCAI Hyeongsub Kim, Seo Taek Kong, Hongseok Lee, Kyungdoc Kim, Kyu-Hwan Jung
2022	—	`conf`	Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. MLCN@MICCAI Dongsoo Lee, Chong Hyun Suh, Jinyoung Kim, Wooseok Jung, Changhyun Park, Kyu-Hwan Jung, Seo Taek Kong, Woo-Hyun Shim, Hwon Heo, Sang Joon Kim
2022	J	`jnl`	Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. J. Digit. Imaging Minki Chung, Seo Taek Kong, BeomHee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo
2022	—	`conf`	Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. MLCN@MICCAI Wooseok Jung, Chong Hyun Suh, Woo-Hyun Shim, Jinyoung Kim, Dongsoo Lee, Changhyun Park, Seo Taek Kong, Kyu-Hwan Jung, Hwon Heo, Sang Joon Kim
2021	J	`jnl`	Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape. CoRR Seo Taek Kong, Soomin Jeon, Jaewon Lee, Hongseok Lee, Kyu-Hwan Jung
2021	—	`conf`	Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection. EMBC ByeongTak Lee, Seo Taek Kong, Youngjae Song, Yeha Lee
2020	—	`conf`	Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment. MICCAI (6) Byeonguk Bae, Jaewon Lee, Seo Taek Kong, Jinkyeong Sung, Kyu-Hwan Jung
2019	J	`jnl`	Almost Boltzmann Exploration. CoRR Harsh Gupta, Seo Taek Kong, R. Srikant, Weina Wang
2017	—	`conf`	Structure identification in layered precedence networks. CCTA Seo Taek Kong, Dimitrios Katselis, Carolyn L. Beck, R. Srikant