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Dennis DeCoste
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2020 – today
- 2023
- [c23]Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste:
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. MLSys 2023 - [c22]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: 2134-2146 - [i8]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 abs/2303.10464 (2023) - 2022
- [i7]Vitaliy Chiley, Vithursan Thangarasa, Abhay Gupta, Anshul Samar, Joel Hestness, Dennis DeCoste:
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. CoRR abs/2206.14098 (2022) - 2021
- [i6]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 abs/2104.09648 (2021) - [i5]Shreyas Saxena, Nidhi Vyas, Dennis DeCoste:
Training With Data Dependent Dynamic Learning Rates. CoRR abs/2105.13464 (2021) - 2020
- [c21]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: 388-397 - [c20]Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste:
Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well. ICLR 2020 - [i4]Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste:
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well. CoRR abs/2001.02312 (2020)
2010 – 2019
- 2019
- [c19]Shreyas Saxena, Oncel Tuzel, Dennis DeCoste:
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum. NeurIPS 2019: 11093-11103 - 2015
- [c18]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: 2740-2748 - [c17]Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan:
Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction. WACV 2015: 294-301 - [c16]Kevin Bache, Dennis DeCoste, Padhraic Smyth:
Hot Swapping for Online Adaptation of Optimization Hyperparameters. ICLR (Workshop) 2015 - 2014
- [c15]Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste:
Compact Random Feature Maps. ICML 2014: 19-27 - [i3]Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan:
Fast Approximate Matching of Cell-Phone Videos for Robust Background Subtraction. CoRR abs/1404.5351 (2014) - [i2]Zhicheng Yan, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Robinson Piramuthu:
HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification. CoRR abs/1410.0736 (2014) - 2013
- [c14]Raffay Hamid, Dennis DeCoste, Chih-Jen Lin
:
Dense Non-rigid Point-Matching Using Random Projections. CVPR 2013: 2914-2921 - [i1]Raffay Hamid, Ying Xiao, Alex Gittens, Dennis DeCoste:
Compact Random Feature Maps. CoRR abs/1312.4626 (2013)
2000 – 2009
- 2006
- [j7]S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste:
Building Support Vector Machines with Reduced Classifier Complexity. J. Mach. Learn. Res. 7: 1493-1515 (2006) - [c13]Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh:
Ensembles of Nearest Neighbor Forecasts. ECML 2006: 545-556 - [c12]Dennis DeCoste:
Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations. ICML 2006: 249-256 - [c11]Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste:
Naïve filterbots for robust cold-start recommendations. KDD 2006: 699-705 - [c10]Michael C. Burl, Dennis DeCoste, Brian L. Enke, Dominic Mazzoni, William J. Merline, Lucas Scharenbroich:
Automated Knowledge Discovery from Simulators. SDM 2006: 82-93 - 2005
- [j6]S. Sathiya Keerthi, Dennis DeCoste:
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. J. Mach. Learn. Res. 6: 341-361 (2005) - 2004
- [j5]Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels. IEEE Trans. Neural Networks 15(3): 750-757 (2004) - 2003
- [c9]Dennis DeCoste, Dominic Mazzoni:
Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. ICML 2003: 115-122 - [c8]Thomas Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste:
Sparse Greedy Minimax Probability Machine Classification. NIPS 2003: 105-112 - [c7]Dennis DeCoste:
Anytime Query-Tuned Kernel Machines via Cholesky Factorization. SDM 2003: 186-193 - 2002
- [j4]Dennis DeCoste, Bernhard Schölkopf:
Training Invariant Support Vector Machines. Mach. Learn. 46(1-3): 161-190 (2002) - [c6]Dennis DeCoste:
Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry. ICML 2002: 99-106 - 2000
- [c5]Dennis DeCoste, Kiri Wagstaff
Alpha seeding for support vector machines. KDD 2000: 345-349
1990 – 1999
- 1998
- [j3]Dennis DeCoste:
The Significance of Kasparov versus DEEP BLUE and the Future of Computer Chess. J. Int. Comput. Games Assoc. 21(1): 33-43 (1998) - 1997
- [j2]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): 103-122 (1997) - [c4]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: 9-13 - [c3]Dennis DeCoste:
Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes. KDD 1997: 151-154 - 1991
- [j1]Dennis DeCoste:
Dynamic Across-Time Measurement Interpretation. Artif. Intell. 51(1-3): 273-341 (1991) - [c2]John W. Collins, Dennis DeCoste:
CATMS: An ATMS Which Avoids Label Explosions. AAAI 1991: 281-287 - 1990
- [c1]Dennis DeCoste:
Dynamic Acioss-Time Measurement Interpretation. AAAI 1990: 373-379
Coauthor Index
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