Dennis DeCoste

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Approximate Matching

Top Venues

BrainLes@MICCAI (2)

Publications

Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. CoRR (2023)
Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. UAI (2023)
Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. MLSys (2023)
Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. CoRR (2022)
Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste
Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation. CoRR (2021)
Shreyas Saxena, Nidhi Vyas, Dennis DeCoste
Training With Data Dependent Dynamic Learning Rates. CoRR (2021)
Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste
Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well. ICLR (2020)
Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well. CoRR (2020)
Mihir Pendse, Vithursan Thangarasa, Vitaliy Chiley, Ryan Holmdahl, Joel Hestness, Dennis DeCoste
Memory Efficient 3D U-Net with Reversible Mobile Inverted Bottlenecks for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2020)
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum. NeurIPS (2019)
Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan
Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction. WACV (2015)
Kevin Bache, Dennis DeCoste, Padhraic Smyth
Hot Swapping for Online Adaptation of Optimization Hyperparameters. ICLR (Workshop) (2015)
Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. ICCV (2015)
Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan
Fast Approximate Matching of Cell-Phone Videos for Robust Background Subtraction. CoRR (2014)
Zhicheng Yan, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Robinson Piramuthu
HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification. CoRR (2014)
Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste
Compact Random Feature Maps. ICML (2014)
Raffay Hamid, Dennis DeCoste, Chih-Jen Lin
Dense Non-rigid Point-Matching Using Random Projections. CVPR (2013)
Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste
Compact Random Feature Maps. CoRR (2013)
Michael C. Burl, Dennis DeCoste, Brian L. Enke, Dominic Mazzoni, William J. Merline, Lucas Scharenbroich
Automated Knowledge Discovery from Simulators. SDM (2006)
Dennis DeCoste
Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations. ICML (2006)
Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste
Naïve filterbots for robust cold-start recommendations. KDD (2006)
Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh
Ensembles of Nearest Neighbor Forecasts. ECML (2006)
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
Building Support Vector Machines with Reduced Classifier Complexity. J. Mach. Learn. Res. 7 (2006)
S. Sathiya Keerthi, Dennis DeCoste
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. J. Mach. Learn. Res. 6 (2005)
Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels. IEEE Trans. Neural Networks 15 (3) (2004)
Dennis DeCoste
Anytime Query-Tuned Kernel Machines via Cholesky Factorization. SDM (2003)
Thomas Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste
Sparse Greedy Minimax Probability Machine Classification. NIPS (2003)
Dennis DeCoste, Dominic Mazzoni
Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. ICML (2003)
Dennis DeCoste
Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry. ICML (2002)
Dennis DeCoste, Bernhard Schölkopf
Training Invariant Support Vector Machines. Mach. Learn. 46 (1-3) (2002)
Dennis DeCoste, Kiri Wagstaff
Alpha seeding for support vector machines. KDD (2000)
Dennis DeCoste
The Significance of Kasparov versus DEEP BLUE and the Future of Computer Chess. J. Int. Comput. Games Assoc. 21 (1) (1998)
Dennis DeCoste
Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes. KDD (1997)
Dennis DeCoste
The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue. Deep Blue Versus Kasparov: The Significance for Artificial Intelligence (1997)
Steve A. Chien, Dennis DeCoste, Richard J. Doyle, Paul E. Stolorz
Making an Impact: Artificial Intelligence at the Jet Propulsion Laboratory. AI Mag. 18 (1) (1997)
John W. Collins, Dennis DeCoste
CATMS: An ATMS Which Avoids Label Explosions. AAAI (1991)
Dennis DeCoste
Dynamic Across-Time Measurement Interpretation. Artif. Intell. 51 (1-3) (1991)
Dennis DeCoste
Dynamic Acioss-Time Measurement Interpretation. AAAI (1990)