Dongryeol Lee

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 6

Top Topics

Top Venues

Stat. Anal. Data Min.

ArgMining@EMNLP

J. Mach. Learn. Res.

Publications

Dongryeol Lee, Minwoo Lee, Kyungmin Min, Joonsuk Park, Kyomin Jung
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation. CoRR (2024)
Kang-il Lee, Minbeom Kim, Minsung Kim, Dongryeol Lee, Hyukhun Koh, Kyomin Jung
VLind-Bench: Measuring Language Priors in Large Vision-Language Models. CoRR (2024)
Yoonsang Lee, Dongryeol Lee, Kyomin Jung
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty. ArgMining@EMNLP (2023)
Dongryeol Lee, Segwang Kim, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, Kyomin Jung
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. CoRR (2023)
Dongryeol Lee, Segwang Kim, Minwoo Lee, Hwanhee Lee, Joonsuk Park, Sang-Woo Lee, Kyomin Jung
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. EMNLP (Findings) (2023)
Yunah Jang, Dongryeol Lee, Hyung Joo Park, Taegwan Kang, Hwanhee Lee, Hyunkyung Bae, Kyomin Jung
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model. DialDoc@ACL (2022)
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
Plug-and-play dual-tree algorithm runtime analysis. CoRR (2015)
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
Plug-and-play dual-tree algorithm runtime analysis. J. Mach. Learn. Res. 16 (2015)
Dongryeol Lee, Piyush Sao, Richard W. Vuduc, Alexander G. Gray
A distributed kernel summation framework for general-dimension machine learning. Stat. Anal. Data Min. 7 (1) (2014)
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees. SDM (2012)
Dongryeol Lee, Alexander G. Gray
Faster Gaussian Summation: Theory and Experiment. CoRR (2012)
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL CoRR (2012)
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
A Distributed Kernel Summation Framework for General-Dimension Machine Learning. SDM (2012)
Kihwan Kim, Dongryeol Lee, Irfan A. Essa
Detecting regions of interest in dynamic scenes with camera motions. CVPR (2012)
Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
Multibody multipole methods. J. Comput. Phys. 231 (20) (2012)
Nishant A. Mehta, Dongryeol Lee, Alexander G. Gray
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL. NIPS (2012)
William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard W. Vuduc, Edmond Chow, Alexander G. Gray
Optimizing the computation of n-point correlations on large-scale astronomical data. SC (2012)
Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
Dual-Tree Fast Gauss Transforms CoRR (2011)
Kihwan Kim, Dongryeol Lee, Irfan A. Essa
Gaussian process regression flow for analysis of motion trajectories. ICCV (2011)
Dongryeol Lee, Arkadas Ozakin, Alexander G. Gray
Multibody Multipole Methods CoRR (2011)
Parikshit Ram, Dongryeol Lee, William B. March, Alexander G. Gray
Linear-time Algorithms for Pairwise Statistical Problems. NIPS (2009)
Parikshit Ram, Dongryeol Lee, Hua Ouyang, Alexander G. Gray
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions. NIPS (2009)
Dongryeol Lee, Alexander G. Gray
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method. NIPS (2008)
Ping Wang, Dongryeol Lee, Alexander G. Gray, James M. Rehg
Fast Mean Shift with Accurate and Stable Convergence. AISTATS (2007)
Dongryeol Lee, Alexander G. Gray
Faster Gaussian Summation: Theory and Experiment. UAI (2006)
Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
Dual-Tree Fast Gauss Transforms. NIPS (2005)
Hyeong Seon Yoo, Dongryeol Lee
) Using Palindromic Representation. ICCSA (1) (2004)