Van-Tam Nguyen
5 papers · 2023–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
Venues
Top co-authors
Research topics
Keywords
model compression
(2)
neural network compression
(1)
batch normalization
(1)
network pruning
(1)
deep learning
(1)
low-rank decomposition
(1)
tensor decomposition
(1)
model pruning
(1)
deep neural network
(1)
bias mitigation
(1)
memory usage
(1)
activation memory
(1)
memory footprint
(1)
activation map
(1)
network depth
(1)
on-device learning
(1)
target alignment
(1)
neural network
(1)
depth reduction
(1)
bias
(1)
Papers
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
ICML 2025
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
AAAI 2025
Activation Map Compression through Tensor Decomposition for Deep Learning
NeurIPS 2024
Debiasing surgeon: fantastic weights and how to find them
ECCV 2024
Mining bias-target Alignment from Voronoi Cells
ICCV 2023