Dennis DeCoste

According to our database, Dennis DeCoste authored at least 33 papers between 1990 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

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

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network.

Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste

CoRR, 2022

2021

Training With Data Dependent Dynamic Learning Rates.

Shreyas Saxena, Nidhi Vyas, Dennis DeCoste

CoRR, 2021

2020

Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well.

Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste

Proceedings of the 8th International Conference on Learning Representations, 2020

Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation.

Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum.

Shreyas Saxena, Oncel Tuzel, Dennis DeCoste

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2015

Hot Swapping for Online Adaptation of Optimization Hyperparameters.

Kevin Bache, Dennis DeCoste, Padhraic Smyth

Proceedings of the 3rd International Conference on Learning Representations, 2015

Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction.

Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

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

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification.

Zhicheng Yan, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Robinson Piramuthu

CoRR, 2014

Fast Approximate Matching of Cell-Phone Videos for Robust Background Subtraction.

Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan

CoRR, 2014

Compact Random Feature Maps.

Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Dense Non-rigid Point-Matching Using Random Projections.

Raffay Hamid, Dennis DeCoste, Chih-Jen Lin

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2006

Building Support Vector Machines with Reduced Classifier Complexity.

S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste

J. Mach. Learn. Res., 2006

Automated Knowledge Discovery from Simulators.

Michael C. Burl, Dennis DeCoste, Brian L. Enke, Dominic Mazzoni, William J. Merline, Lucas Scharenbroich

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Naïve filterbots for robust cold-start recommendations.

Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations.

Dennis DeCoste

Proceedings of the Machine Learning, 2006

Ensembles of Nearest Neighbor Forecasts.

Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh

Proceedings of the Machine Learning: ECML 2006, 2006

2005

A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs.

S. Sathiya Keerthi, Dennis DeCoste

J. Mach. Learn. Res., 2005

2004

An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels.

Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste

IEEE Trans. Neural Networks, 2004

2003

Anytime Query-Tuned Kernel Machines via Cholesky Factorization.

Dennis DeCoste

Proceedings of the Third SIAM International Conference on Data Mining, 2003

Sparse Greedy Minimax Probability Machine Classification.

Thomas Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors.

Dennis DeCoste, Dominic Mazzoni

Proceedings of the Machine Learning, 2003

2002

Training Invariant Support Vector Machines.

Dennis DeCoste, Bernhard Schölkopf

Mach. Learn., 2002

Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry.

Dennis DeCoste

Proceedings of the Machine Learning, 2002

2000

Alpha seeding for support vector machines.

Dennis DeCoste, Kiri Wagstaff

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1998

The Significance of Kasparov versus DEEP BLUE and the Future of Computer Chess.

Dennis DeCoste

J. Int. Comput. Games Assoc., 1998

1997

Making an Impact: Artificial Intelligence at the Jet Propulsion Laboratory.

Steve A. Chien, Dennis DeCoste, Richard J. Doyle, Paul E. Stolorz

AI Mag., 1997

Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes.

Dennis DeCoste

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue.

Dennis DeCoste

Proceedings of the Deep Blue Versus Kasparov: The Significance for Artificial Intelligence, 1997

1991

Dynamic Across-Time Measurement Interpretation.

Dennis DeCoste

Artif. Intell., 1991

CATMS: An ATMS Which Avoids Label Explosions.

John W. Collins, Dennis DeCoste

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990

Dynamic Acioss-Time Measurement Interpretation.

Dennis DeCoste

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990