Tuan Hoang
6 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Research topics
Keywords
model compression
(2)
model quantization
(1)
image classification
(1)
stochastic gradient descent
(1)
semidefinite programming
(1)
graph matching
(1)
point cloud registration
(1)
knowledge distillation
(1)
visual localization
(1)
privacy preservation
(1)
machine unlearning
(1)
deep learning
(1)
gradient descent
(1)
distance metric learning
(1)
robust estimation
(1)
outlier rejection
(1)
approximate nearest neighbor
(1)
linear complexity
(1)
randomized algorithm
(1)
weight quantization
(1)
Papers
Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection
WACV 2024
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks
WACV 2023
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks
IJCAI 2020
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
CVPR 2019
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost
ICCV 2019
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences
CVPR 2019