Jennifer G. Dy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
82
Venues
28
Active years
1999–2026
Best venue rank
A*
Where they publish
- AAISTATS13 papers
- A*ICML10 papers
- A*KDD10 papers
- A*ICDM9 papers
- ASDM5 papers
- A*CVPR3 papers
- CICMLA3 papers
- A*AAAI3 papers
- A*ICLR2 papers
- CACML2 papers
- A*IJCAI2 papers
- AMICCAI2 papers
- AUAI2 papers
- BICTAI2 papers
- AWACV1 paper
- A*EMNLP1 paper
- A*SiggraphA1 paper
- A*ACL1 paper
- A*ECCV1 paper
- BEDM1 paper
- A*INFOCOM1 paper
- BMASS1 paper
- MulticonferenceICASSP1 paper
- NationalACSSC1 paper
- BMASCOTS1 paper
- BICPR1 paper
- AFPGA1 paper
- CRSP1 paper
Papers
82 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification. | Elifnur Sunger, Tales Imbiriba, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy |
| 2025 | AISTATS | Axiomatic Explainer Globalness via Optimal Transport. | Davin Hill, Joshua T. Bone, Aria Masoomi, Max Torop, Jennifer G. Dy |
| 2025 | EMNLP | Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. | Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang |
| 2025 | ICLR | STAR: Stability-Inducing Weight Perturbation for Continual Learning. | Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer G. Dy |
| 2025 | SiggraphA | LVT: Large-Scale Scene Reconstruction via Local View Transformers. | Tooba Imtiaz, Lucy Chai, Kathryn Heal, Xuan Luo, Jungyeon Park, Jennifer G. Dy, John Flynn |
| 2024 | AISTATS | Boundary-Aware Uncertainty for Feature Attribution Explainers. | Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer G. Dy |
| 2024 | AISTATS | Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. | Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy |
| 2023 | ACL | QueryForm: A Simple Zero-shot Form Entity Query Framework. | Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister |
| 2023 | ICML | DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. | Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy |
| 2022 | AISTATS | Deep Layer-wise Networks Have Closed-Form Weights. | Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy |
| 2022 | CVPR | Learning to Prompt for Continual Learning. | Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister |
| 2022 | ECCV | DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. | Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister |
| 2022 | ICDM | Pruning Adversarially Robust Neural Networks without Adversarial Examples. | Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis |
| 2022 | ICLR | Explanations of Black-Box Models based on Directional Feature Interactions. | Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy |
| 2021 | AISTATS | Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. | Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek |
| 2021 | AISTATS | Rate-Regularization and Generalization in Variational Autoencoders. | Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent |
| 2021 | AISTATS | Deep Spectral Ranking. | Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
| 2021 | ICDM | Graph Transfer Learning. | Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis |
| 2020 | AISTATS | Fast and Accurate Ranking Regression. | Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
| 2020 | EDM | A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. | Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley |
| 2020 | ICDM | Learn-Prune-Share for Lifelong Learning. | Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis |
| 2020 | ICDM | Open-World Class Discovery with Kernel Networks. | Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy |
| 2020 | ICMLA | Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. | Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, Jos Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli |
| 2020 | INFOCOM | Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting. | Amani Al-Shawabka, Francesco Restuccia, Salvatore D'Oro, Tong Jian, Bruno Costa Rendon, Nasim Soltani, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia |
| 2020 | KDD | Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. | Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy |
| 2020 | MASS | Machine Learning on Camera Images for Fast mmWave Beamforming. | Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury |
| 2020 | SDM | Deep Kernel Learning for Clustering. | Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy |
| 2019 | ACML | Variational Inference from Ranked Samples with Features. | Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
| 2019 | AISTATS | Structured Disentangled Representations. | Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N. Siddharth, Brooks Paige, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent |
| 2019 | KDD | Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. | Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy |
| 2019 | KDD | A Severity Score for Retinopathy of Prematurity. | Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis |
| 2019 | SDM | Accelerated Experimental Design for Pairwise Comparisons. | Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
| 2018 | AISTATS | Crowdclustering with Partition Labels. | Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian D. Hobbs, Jennifer G. Dy |
| 2018 | AISTATS | Iterative Spectral Method for Alternative Clustering. | Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy |
| 2018 | IJCAI | Experimental Design under the Bradley-Terry Model. | Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis |
| 2018 | KDD | Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. | Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly |
| 2018 | MICCAI | A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. | Alican Bozkurt, Kivan Kse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha |
| 2018 | MICCAI | Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. | Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield |
| 2017 | AAAI | Informative Subspace Learning for Counterfactual Inference. | Yale Chang, Jennifer G. Dy |
| 2017 | ACML | Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. | Yi Li, Aidong Adam Ding, Jennifer G. Dy |
| 2017 | AISTATS | Clustering from Multiple Uncertain Experts. | Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy |
| 2017 | CVPR | Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks. | Alican Bozkurt, Trevor Gale, Kivan Kse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy |
| 2017 | ICML | Multiple Clustering Views from Multiple Uncertain Experts. | Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy |
| 2017 | SDM | Clustering with Domain-Specific Usefulness Scores. | Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy |
| 2016 | AISTATS | A Robust-Equitable Copula Dependence Measure for Feature Selection. | Yale Chang, Yi Li, A. Adam Ding, Jennifer G. Dy |
| 2016 | ICDM | Interpretable Clustering via Discriminative Rectangle Mixture Model. | Junxiang Chen, Yale Chang, Brian D. Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy |
| 2016 | KDD | A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. | Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky |
| 2016 | UAI | A Generative Block-Diagonal Model for Clustering. | Junxiang Chen, Jennifer G. Dy |
| 2015 | AAAI | A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores. | Sarah Marie Brown, Andrea Webb, Rami Mangoubi, Jennifer G. Dy |
| 2015 | ICDM | Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. | Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley |
| 2015 | SDM | Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. | Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy |
| 2014 | KDD | Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease. | James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy |
| 2013 | ICML | Nonparametric Mixture of Gaussian Processes with Constraints. | James C. Ross, Jennifer G. Dy |
| 2012 | ICASSP | Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. | Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Esra Ataer Cansizoglu, Deniz Erdogmus, Milind Rajadhyaksha |
| 2012 | ICDM | Feature Weighting and Selection Using Hypothesis Margin of Boosting. | Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli |
| 2012 | ICDM | GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio. | Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli |
| 2011 | ACSSC | Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases. | Jing Fan, Xiaofeng Xia, Jennifer G. Dy, Stephen T. C. Wong |
| 2011 | ICML | A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection. | Yue Guan, Jennifer G. Dy, Michael I. Jordan |
| 2011 | ICML | Active Learning from Crowds. | Yan Yan, Rmer Rosales, Glenn Fung, Jennifer G. Dy |
| 2011 | ICMLA | Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems. | Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli |
| 2011 | ICTAI | A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments. | Malak Alshawabkeh, Javed A. Aslam, David R. Kaeli, Jennifer G. Dy |
| 2011 | MASCOTS | Workload Characterization at the Virtualization Layer. | Fatemeh Azmandian, Micha Moffie, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli |
| 2010 | ICML | From Transformation-Based Dimensionality Reduction to Feature Selection. | Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy |
| 2010 | ICML | Multiple Non-Redundant Spectral Clustering Views. | Donglin Niu, Jennifer G. Dy, Michael I. Jordan |
| 2010 | ICMLA | Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data. | Malak Alshawabkeh, Micha Moffie, Fatemeh Azmandian, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli |
| 2010 | ICPR | Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation. | Sila Kurugol, Necmiye Ozay, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks |
| 2010 | KDD | Medical coding classification by leveraging inter-code relationships. | Yan Yan, Glenn Fung, Jennifer G. Dy, Rmer Rosales |
| 2010 | UAI | Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. | Yan Yan, Rmer Rosales, Glenn Fung, Jennifer G. Dy |
| 2010 | SDM | Convex Principal Feature Selection. | Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy |
| 2009 | IJCAI | Multi-Class Classifiers and their Underlying Shared Structure. | Volkan Vural, Glenn Fung, Rmer Rosales, Jennifer G. Dy |
| 2008 | KDD | Learning methods for lung tumor markerless gating in image-guided radiotherapy. | Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang |
| 2007 | ICDM | Non-redundant Multi-view Clustering via Orthogonalization. | Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy |
| 2005 | FPGA | Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only). | Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel |
| 2005 | KDD | A multinomial clustering model for fast simulation of computer architecture designs. | Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli |
| 2005 | RSP | Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware. | Ben Cordes, Jennifer G. Dy, Miriam Leeser, James Goebel |
| 2004 | ICML | Automated hierarchical mixtures of probabilistic principal component analyzers. | Ting Su, Jennifer G. Dy |
| 2004 | ICML | A hierarchical method for multi-class support vector machines. | Volkan Vural, Jennifer G. Dy |
| 2004 | ICTAI | A Deterministic Method for Initializing K-Means Clustering. | Ting Su, Jennifer G. Dy |
| 2000 | ICML | Feature Subset Selection and Order Identification for Unsupervised Learning. | Jennifer G. Dy, Carla E. Brodley |
| 2000 | KDD | Visualization and interactive feature selection for unsupervised data. | Jennifer G. Dy, Carla E. Brodley |
| 1999 | AAAI | Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision. | Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Jennifer G. Dy, Lynn S. Broderick, Alex M. Aisen |
| 1999 | CVPR | The Customized-Queries Approach to CBIR Using EM. | Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, Chi-Ren Shyu, Lynn S. Broderick |