Dennis DeCoste

38 papers A* 13A 4Journal 15Unranked 6

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