Fung, Glenn

25 publications

ICLR 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh

AAAI 2021 Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh

NeurIPSW 2020 Simplicial 2-Complex Convolutional Neural Networks Eric Bunch, Qian You, Glenn Fung, Vikas Singh

NeurIPSW 2020 Weighting Vectors for Machine Learning: Numerical Harmonic Analysis Applied to Boundary Detection Eric Bunch, Daniel Dickinson, Jeffery Kline, Glenn Fung

AAAI 2019 Discovering Temporal Patterns from Insurance Interaction Data Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora

WACV 2019 Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass Index Range Estimation Luisa F. Polanía, Glenn Fung, Dongning Wang

ECCV 2018 Efficient Relative Attribute Learning Using Graph Neural Networks Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh

ECML-PKDD 2017 Predicting Self-Reported Customer Satisfaction of Interactions with a Corporate Call Center Joseph Bockhorst, Shi Yu, Luisa F. Polanía, Glenn Fung

MLJ 2014 Learning from Multiple Annotators with Varying Expertise Yan Yan, Rómer Rosales, Glenn Fung, Subramanian Ramanathan, Jennifer G. Dy

AISTATS 2012 Active Learning from Multiple Knowledge Sources Yan Yan, Romer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer Dy

ICML 2011 Active Learning from Crowds Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

ICML 2010 From Transformation-Based Dimensionality Reduction to Feature Selection Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy

AISTATS 2010 Modeling Annotator Expertise: Learning When Everybody Knows a Bit of Something Yan Yan, Romer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo, Luca Bogoni, Linda Moy, Jennifer Dy

UAI 2010 Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy

IJCAI 2009 Multi-Class Classifiers and Their Underlying Shared Structure Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy

JMLR 2009 Using Local Dependencies Within Batches to Improve Large Margin Classifiers Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, Bharat Rao

AAAI 2008 Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen

CVPR 2008 Structure Learning in Random Fields for Heart Motion Abnormality Detection Mark Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales

IJCAI 2007 Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran

IJCAI 2007 Feature Selection and Kernel Design via Linear Programming Glenn Fung, Rómer Rosales, R. Bharat Rao

ECML-PKDD 2006 Batch Classification with Applications in Computer Aided Diagnosis Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao

NeurIPS 2005 Learning Rankings via Convex Hull Separation Glenn Fung, Rómer Rosales, Balaji Krishnapuram

MLJ 2005 Multicategory Proximal Support Vector Machine Classifiers Glenn Fung, Olvi L. Mangasarian

ICML 2004 A Fast Iterative Algorithm for Fisher Discriminant Using Heterogeneous Kernels Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao

COLT 2003 Knowledge-Based Nonlinear Kernel Classifiers Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik