Decoste, Dennis

18 publications

UAI 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
ICLR 2020 Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste
NeurIPS 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
WACV 2015 Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction Raffay Hamid, Atish Das Sarma, Dennis DeCoste, Neel Sundaresan
ICCV 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
ICLR 2015 Hot Swapping for Online Adaptation of Optimization Hyperparameters Kevin Bache, Dennis DeCoste, Padhraic Smyth
ICML 2014 Compact Random Feature Maps Raffay Hamid, Ying Xiao, Alex Gittens, Dennis Decoste
CVPR 2013 Dense Non-Rigid Point-Matching Using Random Projections Raffay Hamid, Dennis Decoste, Chih-Jen Lin
JMLR 2006 Building Support Vector Machines with Reduced Classifier Complexity S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste
ICML 2006 Collaborative Prediction Using Ensembles of Maximum Margin Matrix Factorizations Dennis DeCoste
ECML-PKDD 2006 Ensembles of Nearest Neighbor Forecasts Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh
JMLR 2005 A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs S. Sathiya Keerthi, Dennis DeCoste
ICML 2003 Fast Query-Optimized Kernel Machine Classification via Incremental Approximate Nearest Support Vectors Dennis DeCoste, Dominic Mazzoni
NeurIPS 2003 Sparse Greedy Minimax Probability Machine Classification Thomas R. Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste
ICML 2002 Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry Dennis DeCoste
MLJ 2002 Training Invariant Support Vector Machines Dennis DeCoste, Bernhard Schölkopf
AAAI 1991 CATMS: An ATMS Which Avoids Label Explosions John W. Collins, Dennis DeCoste
AAAI 1990 Dynamic Acioss-Time Measurement Interpretation Dennis DeCoste