| 2023 | UAI | SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. | Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena |
| 2020 | ICLR | Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well. | Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste |
| 2015 | ICCV | HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. | Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu |
| 2015 | WACV | Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction. | Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan |
| 2014 | ICML | Compact Random Feature Maps. | Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste |
| 2013 | CVPR | Dense Non-rigid Point-Matching Using Random Projections. | Raffay Hamid, Dennis DeCoste, Chih-Jen Lin |
| 2006 | ICML | Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations. | Dennis DeCoste |
| 2006 | KDD | Nave filterbots for robust cold-start recommendations. | Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste |
| 2006 | SDM | Automated Knowledge Discovery from Simulators. | Michael C. Burl, Dennis DeCoste, Brian L. Enke, Dominic Mazzoni, William J. Merline, Lucas Scharenbroich |
| 2003 | ICML | Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. | Dennis DeCoste, Dominic Mazzoni |
| 2003 | SDM | Anytime Query-Tuned Kernel Machines via Cholesky Factorization. | Dennis DeCoste |
| 2002 | ICML | Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry. | Dennis DeCoste |
| 2000 | KDD | Alpha seeding for support vector machines. | Dennis DeCoste, Kiri Wagstaff |
| 1997 | AAAI | The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue. | Dennis DeCoste |
| 1997 | KDD | Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes. | Dennis DeCoste |
| 1991 | AAAI | CATMS: An ATMS Which Avoids Label Explosions. | John W. Collins, Dennis DeCoste |
| 1990 | AAAI | Dynamic Acioss-Time Measurement Interpretation. | Dennis DeCoste |