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Su-In Lee

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

15

Venues

7

Active years

2006–2025

Best venue rank

A*

Where they publish

Papers

15 indexed papers, newest first.

YearVenueTitleAuthors
2025ICLRAn Efficient Framework for Crediting Data Contributors of Diffusion Models.Mingyu Lu, Chris Lin, Chanwoo Kim, Su-In Lee
2024ICLREstimating Conditional Mutual Information for Dynamic Feature Selection.Soham Gadgil, Ian Connick Covert, Su-In Lee
2024WWWDCAI: Data-centric Artificial Intelligence.Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
2023ICLRLearning to Estimate Shapley Values with Vision Transformers.Ian Connick Covert, Chanwoo Kim, Su-In Lee
2023ICLRContrastive Corpus Attribution for Explaining Representations.Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee
2023ICMLLearning to Maximize Mutual Information for Dynamic Feature Selection.Ian Connick Covert, Wei Qiu, Mingyu Lu, Nayoon Kim, Nathan J. White, Su-In Lee
2022AISTATSMoment Matching Deep Contrastive Latent Variable Models.Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee
2022ICLRFastSHAP: Real-Time Shapley Value Estimation.Neil Jethani, Mukund Sudarshan, Ian Connick Covert, Su-In Lee, Rajesh Ranganath
2021AISTATSImproving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression.Ian Covert, Su-In Lee
2015AAAIPathway Graphical Lasso.Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee
2014ICMLEfficient Dimensionality Reduction for High-Dimensional Network Estimation.Safiye Celik, Benjamin A. Logsdon, Su-In Lee
2012ICPRTremor detection using motion filtering and SVM.Bilge Soran, Jenq-Neng Hwang, Su-In Lee, Linda G. Shapiro
2012MICCAISkull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models.Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz, Craig Birgfeld, Indriyati Atmosukarto, Su-In Lee
2007ICMLLearning a meta-level prior for feature relevance from multiple related tasks.Su-In Lee, Vassil Chatalbashev, David Vickrey, Daphne Koller
2006AAAIEfficient L1 Regularized Logistic Regression.Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng