Dennis DeCoste
8 papers · 2005–2023 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird
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Keyword Pioneer
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Keyword Trendsetter Combo
(3)
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Trend Setter
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(5)
Deep Learning
(3)
Mathematics & Optimization
(3)
Application Areas
(3)
Computer Vision
(2)
Analysis
(2)
Optimization
(2)
Optimization & Theory
(2)
Techniques
(2)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
support vector machine
(2)
model generalization
(2)
deep neural network
(2)
model compression
(2)
subspace learning
(1)
hierarchical classification
(1)
transfer learning
(1)
object detection
(1)
point matching
(1)
noisy label learning
(1)
knowledge transfer
(1)
feature matching
(1)
fine-grained classification
(1)
kernel approximation
(1)
linear svm
(1)
curriculum learning
(1)
large-scale learning
(1)
feature space
(1)
linear classifier
(1)
dense matching
(1)
Papers
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models
UAI 2023
Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well
ICLR 2020
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
NeurIPS 2019
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition
ICCV 2015
Compact Random Feature Maps
ICML 2014
Dense Non-rigid Point-Matching Using Random Projections
CVPR 2013
Building Support Vector Machines with Reduced Classifier Complexity
JMLR 2006
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
JMLR 2005